PhD defence: Contributions to Confidentiality and Integrity Algorithms for 5G

Publicerad: 2021-12-03

Thesis title: Contributions to Confidentiality and Integrity Algorithms for 5G

Author: Jing Yang, Department of Electrical and Information Technology, Lund university

Faculty opponent: Opponent är Professor Carlos Cid, United Kingdom.

Location: Online and/or E:A E-huset, Ole Römers väg 3, LTH, Lund University, Lund.

https://lu-se.zoom.us/j/63881107185?pwd=REZuZFptRzZEeHlQWlR1ZnZJR0xvQT09

Thesis for download (PDF)

Abstract

The con?dentiality and integrity algorithms in cellular networks protect the transmission of user and signaling data over the air between users and the network, e.g., the base stations. There are three standardised cryptographic suites for con?dentiality and integrity protection in 4G, which are based on the AES, SNOW 3G, and ZUC primitives, respectively. These primitives are used for providing a 128-bit security level and are usually implemented in hardware, e.g., using IP (intellectual property) cores, thus can be quite e?cient.

When we come to 5G, the innovative network architecture and high-performance demands pose new challenges to security. For the con?dentiality and integrity protection, there are some new requirements on the underlying cryptographic algorithms. Speci?cally, these algorithms should: 1) provide 256 bits of security to protect against attackers equipped with quantum computing capabilities; and 2) provide at least 20 Gbps (Gigabits per second) speed in pure software environments, which is the downlink peak data rate in 5G. The reason for considering software environments is that the encryption in 5G will likely be moved to the cloud and implemented in software.

Therefore, it is crucial to investigate existing algorithms in 4G, checking if they can satisfy the 5G requirements in terms of security and speed, and possibly propose new dedicated algorithms targeting these goals. This is the motivation of this thesis, which focuses on the con?dentiality and integrity algorithms for 5G. The results can be summarised as follows.
 

• We investigate the security of SNOW3G under 256-bit keys and propose two linear attacks against. These cryptanalysis results indicate that SNOW 3G cannot provide the full 256-bit security level.
• We design some spectral tools for linear cryptanalysis and apply these tools to investigate the security of ZUC-256, the 256-bit version of ZUC. We propose a distinguishing attack against ZUC-256 faster than exhaustive key search.
• We design a new stream cipher called SNOW-V in response to the new requirements for 5G con?dentiality and integrity protection, in terms of security and speed. SNOW-V can provide a 256-bit security level and achieve a speed as high as 58 Gbps in software based on our extensive evaluation. The cipher is currently under evaluation in ETSI SAGE (Security Algorithms Group of Experts) as a promising candidate for 5G con?dentiality and integrity algorithms.
• We perform deeper cryptanalysis of SNOW-V to ensure that two common cryptanalysis techniques, guess-and-determine attacks and linear cryptanalysis, do not apply to SNOW-V faster than exhaustive key search.
• We introduce two minor modi?cations in SNOW-V and propose an extreme performance variant, called SNOW-Vi, in response to the feedback about SNOW-V that some use cases are not fully covered. SNOW-Vi covers more use cases, especially some platforms with less capabilities. The speeds in software are increased by 50% in average over SNOW-V and can be up to 92 Gbps.

Besides these works on 5G con?dentiality and integrity algorithms, the thesis is also devoted to local pseudorandom generators (PRGs).

• We investigate the security of local PRGs and propose two attacks against some constructions instantiated on the P5 predicate. The attacks improve existing results with a large gap and narrow down the secure parameter regime. We also extend the attacks to other local PRGs instantiated on general XOR-AND and XOR-MAJ predicates and provide some insight in the choice of safe parameters.

Brain-Inspired Computing - a Hub AI seminar

Publicerad: 2021-11-30

The field of brain-inspired (or neuromorphic) computing is an emerging field of new ways to design hardware that functions more like the human brain, in order to enable more efficient and better performing neural networks and machine learning applications. 

Date and Time: Monday 6th December, 16-17

Location: K-space room in the Q-building of Fysicum

More information and registration on Hub AI's  Facebook page.

Speakers

Mattias Borg:
Mattias is senior lecturer and project manager at the Nano Electronics department of Lund University and principal investigator at NanoLund. Among other things, his research focuses on a class of neuromorphic devices that use ferroelectric memory to implement artificial synapses in hardware. He is also a research scientist at MISEL (https://www.misel-project.eu/), an international collaboration that has implemented these ferroelectric devices in an intelligent vision system that performs visual sensing and processing in a manner inspired by the human eye and brain. 

Lars-Erik Wernersson:
Lars-Erik is a professor at the Nano Electronics department at Lund University with extensive research output relating to nano-electronic devices. He researches, among other things, resistive memory cells that can be used as synapse devices in brain-inspired hardware, collaborating with Mattias Borg on certain projects. Lars-Erik is also the principal investigator representing Lund in the previously mentioned MISEL project.

Stanley Heinze:
Stanley is an associate professor at Lund University, a researcher in functional zoology and principal investigator at NanoLund. He leads the biology side of a collaborative project in which he looks inside the brains of insects, mapping and identifying the neural structures that the animals use to orient themselves in their external environment. Stanley and his colleagues have successfully identified certain navigational centres in the brains of bees which can be built and recreated using nano-electronic hardware to realise highly efficient optoelectronic neural networks.

David Winge:
David Winge is a researcher at NanoLund and a postdoctoral fellow at the synchrotron radiation research division of the dept. of physics at Lund University. He represents the physics side of the previously mentioned insect brain project that Stanley Heinze is involved with. They have been successful in recreating neuromorphic circuitry implemented with III-V semiconductor nanowires that mimic the functionality and structure of navigational centres in the insect brain central complex.

Lic. Thesis Seminar: Safe and Robust Autonomous Intersection Management Methods

Publicerad: 2021-11-10

Title: Safe and Robust Autonomous Intersection Management Methods

Presenter: Zahra Chamideh, Department of EIT, LTH, Lund University

When: 30 November 2021 at 13.15

Location: E:2311, E, huset, Ole Römers väg 3, Lund

Abstract 

Connected Autonomous Vehicles (AV)s can transform urban transportation systems and have the potential to improve the safety and efficiency, since human errors and distractions are removed. However, these systems are vulnerable to model uncertainties, communication impairments associated with the wireless communication, and external disturbances. As a result, vehicles need to drive at low speed and have a large safety distance between vehicles in order to guarantee a safe traveling in the road network. In addition, intersections along the road network inherently slow down the speed of the traffic stream, which may result in congestion. However, when the traffic flow rate is high and approaches the maximum capacity of the intersection, vehicles need to fully stop for periods of time. This has a significant impact on the efficiency of the transportation system. 

In the work presented in this thesis, we explore Autonomous Intersection Management (AIM) methods based on different control strategies with the ultimate goal to develop control methods that can be deployed in operational systems. We have mainly investigated the feasibility and implementation challenges of control strategies in a fully autonomous system in the presence of communication impairments associated with wireless channels. We design a solution, a hierarchical control strategy, which is safe and robust against uncertainties, and also works for high traffic demands and speeds. 

We evaluated the robustness, scalability and performance of the investigated strategies in a realistic urban mobility simulator Simulation of Urban MObility (SUMO) in the presence of communication impairments associated with wireless channels. 

Modern Optimization and Machine Learning in Acoustics, EM, Radar, and Sonar II

Publicerad: 2021-08-26

This hybrid workshop is organised in cooperation between Lund University and Saab. The aim is to provide the participants with a venue to discuss and learn about theory and applications of Modern Optimisation and Machine Learning. The hybrid format means that you can choose if you participate via Zoom or, if the restrictions in November allow that, participate in person.

The focus is on practical problems and the choice of methods. Presentations will be held by researchers from academia and the industry. Active participation with a 20-minute presentation is encouraged.

When: 23 November 2021, 09.00 - 17:00

Where: Online on the zoom platform. Unfortunately, we cannot accommodate more attendees on site due to high attendance.

Keynote speaker

Professor Yonina Eldar, Weizmann Institute of Science in Rehovot, Israel
on Deep Analog-to-Digital Compression with Applications to Automotive Radar and Massive MIMO

Topics of Interest

• Inverse Problems, Optimization, Compressive Sensing, and Machine Learning
• Applications in Acoustics, Electromagnetics, Radar, Sonar, and Wave Propagation

Presentations

• Deep Analog-to-Digital Compression with Applications to Automotive Radar and Massive MIMO (Keynote)
  Professor Yonina Eldar, Weizmann Institute of Science in Rehovot, Israel
• Short-time least-squares spectral analysis of pass-by noise in water from a rigid inflatable boat
  Anders Lindberg, Saab, Sweden
• A Supervised Learning Framework for Joint  Angle-of-Arrival and Source Number Estimation
  Noud Kanters, University of Twente, Netherlands  
• Measurement and modeling of VSAT Antenna Radiation Patterns using QuadCopter UAV
  Muhammad Owais and Diana Trifon, QuadSAT, Denmark
• Deep learning based dictionary learning and tomographic image reconstruction
  Ozan Öktem, Royal Technical Institute, Sweden
• Optimization of Electromagnetic Structures
  Mats Gustafsson, Lund University, Sweden
• MoM-Based Memetics for Inverse Design
  Miloslav ?apek, Czech technical university in Prague, Czechia
• Antenna Design Optimization Using Machine Learning
  CJ Reddy, Altair, USA
• Interpolation Methods for SAR Backprojection at THz Frequencies
  Yevhen Ivanenko, Blekinge Institute of Technology, Sweden
• Receiver-Sender Node Calibration for Sound and Radio
  Kalle Åström, Lund University, Sweden
• Quantum-Assisted Combinatorial Optimization of Reconfigurable Intelligent Surfaces
  Zhen Peng, University of Illinois at Urbana Champaign, USA

Contact

Christer.Larsson@eit.lth.se

ELLIIT workshop 2021

Publicerad: 2021-03-22

This workshop provides an opportunity for the ELLIIT community, and others with an interest in the ELLIIT Program, to get the latest news from ELLIIT Faculty and ELLIIT projects, as well as an update on coming initiatives.

More information and the program can be found on the ELLIIT webpage at elliit.se.

Lic. Thesis Seminar: Automatic Access Security Policy Generation for Containerized Services

Publicerad: 2021-10-18

Title: Automatic Access Security Policy Generation for Containerized Services

Presenter: Hui Zhu, Department of EIT, LTH, Lund University

When: 22 October 2021 at 13.15

PhD defence: Baseband Processing for 5G and Beyond: Algorithms, VLSI Architechtures, and Co-design

Publicerad: 2021-09-06

Thesis title: Baseband Processing for 5G and Beyond: Algorithms, VLSI Architechtures, and Co-design

Author: Mojtaba Mahdavi  Department of Electrical and Information Technology, Lund university

Faculty opponent: Professor Christoph Struder, ETH Zürich, Schweiz.

Location: Online - link by registration and/or E:B, E-huset, Ole Römers väg 3, LTH, Lund University, Lund.

Download thesis as PDF

Abstract

In recent years the number of connected devices and the demand for high data-rates have been signi?cantly increased. This enormous growth is more pronounced by the introduction of the Internet of things (IoT) in which several devices are interconnected to exchange data for various applications like smart homes and smart cities. Moreover, new applications such as eHealth, autonomous vehicles, and connected ambulances set new demands on the reliability, latency, and data-rate of wireless communication systems, pushing forward technology developments. Massive multiple-input multiple-output (MIMO) is a technology, which is employed in the 5G standard, offering the bene?ts to ful?ll these requirements. In massive MIMO systems, base station (BS) is equipped with a very large number of antennas, serving several users equipments (UEs) simultaneously in the same time and frequency resource. The high spatial multiplexing in massive MIMO systems, improves the data rate, energy and spectral ef?ciencies as well as the link reliability of wireless communication systems. The link reliability can be further improved by employing channel coding technique. Spatially coupled serially concatenated codes (SC-SCCs) are promising channel coding schemes, which can meet the high-reliability demands of wireless communication systems beyond 5G (B5G). Given the close-to-capacity error correction performance and the potential to implement a high-throughput decoder, this class of code can be a good candidate for wireless systems B5G.

In order to achieve the above-mentioned advantages, sophisticated algorithms are required, which impose challenges on the baseband signal processing. In case of massive MIMO systems, the processing is much more computationally intensive and the size of required memory to store channel data is increased signi?cantly compared to conventional MIMO systems, which are due to the large size of the channel state information (CSI) matrix. In addition to the high computational complexity, meeting latency requirements is also crucial. Similarly, the decoding-performance gain of SC-SCCs also do come at the expense of increased implementation complexity. Moreover, selecting the proper choice of design parameters, decoding algorithm, and architecture will be challenging, since spatial coupling provides new degrees of freedom in code design, and therefore the design space becomes huge. The focus of this thesis is to perform co-optimization in different design levels to address the aforementioned challenges/requirements. To this end, we employ system-level characteristics to develop ef?cient algorithms and architectures for the following functional blocks of digital baseband processing.

First, we present a fast Fourier transform (FFT), an inverse FFT (IFFT), and corresponding reordering scheme, which can signi?cantly reduce the latency of orthogonal frequency-division multiplexing (OFDM) demodulation and modulation as well as the size of reordering memory. The corresponding VLSI architectures along with the application speci?c integrated circuit (ASIC) implementation results in a 28 nm CMOS technology are introduced. In case of a 2048-point FFT/IFFT, the proposed design leads to 42% reduction in the latency and size of reordering memory.

Second, we propose a low-complexity massive MIMO detection scheme. The key idea is to exploit channel sparsity to reduce the size of CSI matrix and eventually perform linear detection followed by a non-linear post-processing in angular domain using the compressed CSI matrix. The VLSI architecture for a massive MIMO with 128 BS antennas and 16 UEs along with the synthesis results in a 28 nm technology are presented. As a result, the proposed scheme reduces the complexity and required memory by 35%?73% compared to traditional detectors while it has better detection performance.

Finally, we perform a comprehensive design space exploration for the SC-SCCs to investigate the effect of different design parameters on decoding performance, latency, complexity, and hardware cost. Then, we develop different decoding algorithms for the SC-SCCs and discuss the associated decoding performance and complexity. Also, several high-level VLSI architectures along with the corresponding synthesis results in a 12 nm process are presented, and various design tradeoffs are provided for these decoding schemes.

Registration

The event is open to anyone interested. If you register at https://www.lth.se/digitalth/events/register-2021-09-24 we send you a link for the event at the zoom platform.

PhD defence:Vertical Heterostructure III-V MOSFETs for CMOS, RF and Memory Applications

Publicerad: 2021-09-06

Thesis title: Vertical Heterostructure III-V MOSFETs for CMOS, RF and Memory Applications

Author: Adam Jönsson Department of Electrical and Information Technology, Lund university

Faculty opponent: Opponent är professor Aaron Voon-Yew Thean, Singapore universitet, Singapore.

Location: Online - link by registration and/or E:B E-huset, Ole Römers väg 3, LTH, Lund University, Lund.

Abstract

This thesis focuses mainly on the co-integration of vertical nanowire n-type InAs and p-type GaSb MOSFETs on Si (Paper I & II), where MOVPE grown vertical InAs-GaSb heterostructure nanowires are used for realizing monolithically integrated and co-processed all-III-V CMOS. Utilizing a bottom-up approach based on MOVPE grown nanowires enables design flexibilities, such as in-situ doping and heterostructure formation, which serves to reduce the amount of mask steps during fabrication. By refining the fabrication techniques, using a self-aligned gate-last process, scaled 10-20 nm diameters are achieved for balanced drive currents at Ion ? 100 ?A/?m, considering Ioff at 100 nA/?m (VDD = 0.5 V). This is enabled by greatly improved p-type MOSFET performance reaching a maximum transconductance of 260 ?A/?m at VDS = 0.5 V. Lowered power dissipation for CMOS circuits requires good threshold voltage VT matching of the n- and p-type device, which is also demonstrated for basic inverter circuits. The various effects contributing to VT-shifts are also studied in detail focusing on the InAs channel devices (with highest transconductance of 2.6 mA/?m), by using Electron Holography and a novel gate position variation method (Paper V).

The advancements in all-III-V CMOS integration spawned individual studies into the strengths of the n- and p-type III-V devices, respectively. Traditionally materials such as InAs and InGaAs provide excellent electron transport properties, therefore they are frequently used in devices for high frequency RF applications. In contrast, the III-V p-type alternatives have been lacking performance mostly due to the difficult oxidation properties of Sb-based materials. Therefore, a study of the GaSb properties, in a MOSFET channel, was designed and enabled by new manufacturing techniques, which allowed gate-length scaling from 40 to 140 nm for p-type Sb-based MOSFETs (Paper III). The new fabrication method allowed for integration of devices with symmetrical contacts as compared to previous work which relied on a tunnel-contact at the source-side. By modelling based on measured data fieldeffect hole mobility of 70 cm2/Vs was calculated, well in line with previously reported studies on GaSb nanowires. The oxidation properties of the GaSb gate-stack was further characterized by XPS, where high intensities of xrays are achieved using a synchrotron source allowed for characterization of nanowires (Paper VI). Here, in-situ H2-plasma treatment, in parallel with XPS measurements, enabled a study of the time-dependence during full removal of GaSb native oxides.

The last focus of the thesis was building on the existing strengths of vertical heterostructure III-V n-type (InAs-InGaAs graded channel) devices. Typically, these devices demonstrate high-current densities (gm >3 mS/?m) and excellent modulation properties (off-state current down to 1 nA/?m). However, minimizing the parasitic capacitances, due to various overlaps originating from a low access-resistance design, has proven difficult. Therefore, new methods for spacers in both the vertical and planar directions was developed and studied in detail. The new fabrication methods including sidewall spacers achieved gate-drain capacitance CGD levels close to 0.2 fF/?m, which is the established limit by optimized high-speed devices. The vertical spacer technology, using SiO2 on the nanowire sidewalls, is further improved in this thesis which enables new co-integration schemes for memory arrays. Namely, the refined sidewall spacer method is used to realize selective recess etching of the channel and reduced capacitance for large array memory selector devices (InAs channel) vertically integrated with Resistive Random Access Memory (RRAM) memristors. (Paper IV) The fabricated 1-transistor-1- memristor (1T1R) demonstrator cell shows excellent endurance and retention for the RRAM by maintaining constant ratio of the high and low resistive state (HRS/LRS) after 106 switching cycles.

Registration

The event is open to anyone interested. If you register at https://www.lth.se/digitalth/events/register-2021-09-17 we send you a link for the event at the zoom platform.

PhD defence: Design of Functional Structures and Measurement Techniques for Electromagnetic Waves

Publicerad: 2021-05-25

Thesis title: Design of Functional Structures and Measurement Techniques for Electromagnetic Waves

Author: Johan Lundgren, Department of Electrical and Information Technology, Lund university

Faculty opponent: Samel Arslanagic, Associate Professor, DTU, Denmark

Location: Online - Access link by registration

The thesis for download as PDF

Abstract

Electromagnetic fields exist all around us. Through evolution, nature has developed tools to interact and use these fields, where our eyes are a spectacular example. Humans have a long history of developing structures and objects of their own to alter and interact with these fields. Today they are important cornerstones in society, with radiating devices such as cell phones, Wi-Fi routers, or car radar and functional structures such as tinted windows, 3D glasses, and microwave oven doors. There is a high demand for these objects in various application areas. This dissertation deals with the design of functional structures along with measurement techniques of the electromagnetic field.

The dissertation is centered on two parts, a general introduction and research overview (Part I) and six scientific papers, published in peer-reviewed international journals (Part II). The general introduction and research overview puts the results from the scientific papers in perspective and presents a path between them. It starts with fundamental theoretical concepts in electromagnetic theory and continues into discussing functional structures, measurement techniques, near-field measurements, and simulations of scattering media. The two primary categories of the included papers are functional structures, Papers I, II, III, V, VI, and electromagnetic measurements Paper III, IV, V, VI.

Paper I investigates a functional structure in transmission through periodic sub-wavelength apertures. Fundamental limitations are presented and a functional structure is designed and optimized to reach a bandwidth close to the attainable limit. The design is manufactured and measured to verify the validity of a sum rule.

In Papers II and III, functional structures exhibiting circular polarization selectivity are explored. A circular polarization selective structure is designed for satellite communication applications with dual band performance. The design is manufactured and measured through an experimental technique and post-processing scheme, specifically aimed at accurate characterization.

Papers IV--VI are concerned with mm-wave imaging systems and measurement techniques of radiating devices. Techniques for reflection-based non-destructive testing measurements are developed along with techniques for measurements of the radiative near field of devices using functional structures. The measurement technique in Paper V consists of measuring the radiative near field, computing equivalent currents, and reconstructing the electromagnetic field at points of interest. This is carried out through a system calibration using a small aperture as a functional structure. In Paper VI, the functional structure is a metasurface that converts incident radiation to heat imaged with an infrared camera. The metasurface is designed for the low power levels of consumer hand-held devices.

Finally, the dissertation discusses a simulation approach of full-wave solutions for highly scattering random media. The simulation tool aims to describe focusing of light into, and through, random media using wavefront shaping with functional structures to enable measurements of regions deep within tissue.
 

Registration

The event is open to anyone interested. If you register at https://www.lth.se/digitalth/events/register-2021-06-18b/ we send you a link for the event at the zoom platform.

PhD defence: Improving DRX Performance For Emerging Use Cases in 5G

Publicerad: 2021-06-08

Thesis title: Improving DRX Performance For Emerging Use Cases in 5G

Author: Farnaz Moradi, Department of Electrical and Information Technology, Lund university

Faculty opponent: Professor Luciano Bononi from University of Bologna, Italy

Location: Online - link by registration

Abstract

This thesis proposes approaches and models to increase the energy saving of the User Equipment (UE) in Long-Term Evolution (LTE) and 5G. The focus is mainly on Discontinuous Reception (DRX), the UE energy saving mechanism that was first introduced in LTE and will play an important role in 5G too.
In this thesis, we take two main approaches. The first approach is based on joint optimization of DRX and resource allocation in order to improve the energy saving (increase battery life time) for different scenarios. In particular, we propose utilizing the possibility of predicting the channel capacities for the UEs in order to jointly optimize the resource allocation and DRX parameters. We also propose two new flexible DRX approaches, DRXset and VDRX which are adjustable according to the traffic and channel information. The proposed solutions can create longer sleep opportunities for the UEs, as well as increased network capacity and flexibility.

Aside from this, we investigate the performance of DRX in different use cases related to 5G. For example we study the impact of 5G Radio Access Network (RAN) slicing on the energy saving and sleep opportunity of the UEs. We propose slicing strategies that are less sensitive, in terms of UE energy usage, to the inter-slice resource sharing policies. We also propose a novel DRX state model for Device-to-Device (D2D) communication. The proposed state model is based on semi-Markov process similar to the legacy DRX. However, we introduce extra states and sub-states to the DRX state model in order to make it suitable for the D2D communication. 

Registration

The event is open to anyone interested. If you register at https://www.lth.se/digitalth/events/register-2021-06-17 we send you a link for the event at the zoom platform.

Brain-inspired Computing using Phase Change Memory Devices

Publicerad: 2021-05-26

When: June 10th 15:15

Where: Online at the zoom platform. Please email webmaster@nano.lu.se for access link

Speaker: Dr. Abu Sebastian, IBM Research, Zurich

Host: Mattias Borg, NanoLund and Dept. ofElectrical and Information Technology, Lund university

Talk abstract

There is a significant need to build efficient non-von Neumann computing systems for highly data-centric artificial intelligence related applications. Brain-inspired computing is one such approach that shows significant promise. Memory is expected to play a key role in this form of computing and in particular, phase-change memory (PCM), arguably the most advanced emerging non-volatile memory technology. Brain-inspired computing is likely to be realized in multiple levels of inspiration given a lack of comprehensive understanding of the working principles of the brain. As the first level of inspiration, one could build computing units where memory and processing co-exist in some form. Computational memory is an example where the physical attributes and state dynamics of memory devices are exploited to perform certain computational tasks in place with very high areal and energy efficiency. In a second level of brain-inspired computing using PCM devices, one could design a co-processor comprising multiple cross-bar arrays of PCM devices to accelerate inference and training of deep neural networks. PCM technology could also play a key role in the space of specialized computing substrates for spiking neural networks and this can be viewed as the third level of brain-inspired computing using these devices.

PhD defence: III-V Nanowire MOSFET High-Frequency Technology Platform (Stefan Andric)

Publicerad: 2021-05-17

Thesis title: III-V Nanowire MOSFET High-Frequency Technology Platform

Author: Stefan Andric, Department of Electrical and Information Technology, Lund university

Faculty opponent: Professor Ingmar Kallfass 

Location: Online from  Room E:1406, LTH - Access link by registration

Abstract

The thesis addresses the main challenges in using III-V nanowire MOSFETs for high-frequency applications by building a III-V
vertical nanowire MOSFET technology library. The initial device layout is designed, based on the assessment of the current III-V vertical nanowire MOSFET with state-of-the-art performance. The layout provides
an option to scale device dimensions for the purpose of designing various high-frequency circuits. The nanowire MOSFET device is described using 1D transport theory, and modeled with a compact virtual source model. Device assessment is performed at high frequencies, where sidewall spacer overlaps have been identified and mitigated in subsequent design iterations. In the final stage of the design, the device is simulated with fT > 500 GHz, and fmax > 700 GHz.

Alongside the III-V vertical nanowire device technology platform, a dedicated and adopted RF and mm-wave back-end-of-line (BEOL) has been developed. Investigation into the transmission line parameters reveals a line attenuation of 0.5 dB/mm at 50 GHz, corresponding to state-ofthe-art values in many mm-wave integrated circuit technologies. Several key passive components have been characterized and modeled. The device interface module - an interconnect via stack, is one of the prominent components. Additionally, the approach is used to integrate ferroelectric MOS capacitors, in a unique setting where their ferroelectric behavior is captured at RF and mm-wave frequencies.

Finally, circuits have been designed. A proof-of-concept circuit, designed and fabricated with III-V lateral nanowire MOSFETs and mm-wave BEOL,validates the accuracy of the BEOL models, and the circuit design. The device scaling is shown to be reflected into circuit performance, in a unique device characterization through an amplifier noise-matched input stage. Furthermore, vertical-nanowire-MOSFET-based circuits have been designed with passive feedback components that resonate with the device gate-drain capacitance. The concept enables for device unilateralization and gain boosting. The designed low-noise amplifiers have matching points independent on the MOSFET gate length, based on capacitance balance between the intrinsic and extrinsic capacitance contributions, in a vertical geometry. The proposed technology platform offers flexibility in device and circuit design and provides novel III-V vertical nanowire MOSFET devices and circuits as a viable option to future wireless communication systems

The thesis for download as PDF

Registration

The event is open to anyone interested. If you register at https://www.lth.se/digitalth/events/register-2021-05-28/ we send you a link for the event at the zoom platform.

Modern Optimization and Machine Learning in Acoustics, EM, Radar, and Sonar

Publicerad: 2021-03-22

This virtual workshop is organized in cooperation between Lund University, Saab, and IEEE Sweden (SP, MTT/AP). The aim is to provide the participants with a venue to discuss and learn about theory and applications of Modern Optimization and Machine Learning.  

The focus is on practical problems and the choice of methods. 

When: 19 May 2021, 09.00 - 17.00

Where: Online at the zoom platform

Keynote:  IEEE DL Professor Pier Luigi Dragotti, Imperial College, London

Topics of Interest

• Inverse Problems, Optimization, Compressive Sensing, and Machine Learning
• Applications in Acoustics, Electromagnetics, Radar, Sonar, and Wave Propagation

IEEE Distinguished Lecturer Professor Pier Luigi Dragotti from Imperial College, London will present the keynote.

Presentations will be held by researchers from academia and the industry.  

More information and an updated agenda can be found at https://www.overleaf.com/read/cgtstfkfpphp

Presentations

• Sparse Sampling:  Theory and Applications (Keynote)
  IEEE Distinguished Lecturer Pier Luigi Dragotti, Imperial College, UK
   
• Best and Better than Best ? The Quest for Optimal Antennas
  Mats Gustafsson, Lund University, Sweden
   
• 3D Acoustic Shape Optimization Using Cut Finite Element Methods
  Martin Berggren, Umeå University, Sweden
   
• A practical approach to sparse recovery in spherical near-field antenna measurements
  Cosme Culotta López, RWTH Aachen University, Germany
   
• Tensor-Field Based Localization Using Sensor Arrays ? A Machine Learning Approach
  Isaac Skog, Linköping University, Sweden
   
• Data Driven Large-Scale Convex Optimisation
  Jevgenija Rudzusika, Royal Institute of Technology, Sweden
   
• Deep Learning Accelerated Computations for Radar Related Applications
  Adam Andersson, Saab Surveillance and Chalmers University of Technology, Sweden
   
• Radar Cross Section Analysis with BPDN 
  Christer Larsson, Saab Dynamics and Lund University, Sweden
   
• Stepped Frequency Pulse Compression with Non-Coherent Radar Using Deep Learning
  Alexander Karlsson, Saab Surveillance and Royal Institute of Technology, Sweden
   
• Optimal Design for Microstrip Antennas
  Ben Nel, Lund University, Sweden
   
• Multilayer Topology Optimization of Wideband Waveguide Transitions
  Emadeldeen Hassan, Umeå University, Sweden

Registration

A Zoom link will be provided to all participants.

Contact Christer.Larsson@eit.lth.se as soon as possible, if you like to participate in the workshop.  

Please let us know if you are an IEEE member.