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Title: MIMO Technology for 5G and Beyond
Abstract
Over the past decade, Massive MIMO has gone from being a science-fiction-like concept to mainstream technology. The Massive MIMO technology utilizes arrays of many active antennas to improve the data rates in cellular networks, by directive transmission and multiplexing in the spatial domain. It is a core technology in 5G or, at least, this is what operators and manufacturers are claiming. But how close to the theoretical predictions will the 5G Massive MIMO technology perform? In this keynote, we will search for an answer to this question and thereby reveal the main weaknesses of the MIMO technology in 5G. We will then look at potential technology evolutions that might address these weaknesses in beyond 5G networks. This includes cell-free networking, holographic beamforming, reconfigurable intelligent surfaces, and machine learning.
Title: Optical Wireless Communication for 5G and beyond
Abstract
As demands for data access are rapidly growing and the RF wireless spectrum is already congested, optical wireless communication emerges as an alternative solution for high-speed data connection. This technology can provide an attractive solution in the future congested networks by bridging the gap between the end user and the fibre‐optic infrastructure already in place. Its high data rate, ease of reconfiguration, and high security make it an appealing solution for the last mile problem, mobile backhaul, and satellite communication. Moreover, in an indoor environment, in the form of visible light communication or LiFi, it can provide connectivity by integrating lighting and data communication. This talk will focus on the principles and applications of optical wireless communications while reporting some recent results.
Title: Interference Management, Energy Management, and Energy Efficient Signalling for New Generation Communications
Abstract
Interference management and energy management are the two most important issues pertaining to new generation communications. With the increasing number of machine type devices, and push for higher spectral utilization efficiencies, effective interference management has become very critical. We argue that cognitive underlay principles provide a very effective framework for power control and interference management. Interference management in cellular communications and in mMTC are discussed as examples.
To ensure energy efficiency, energy management is important both at the network as well as at the node level. Energy harvesting and scavenging can dramatically increase battery lifetimes. The ultimate goal is to have self-sustaining nodes that require no batteries and rely solely on harvested energy. Energy-efficient signaling is vital to realize these objectives.
Title: Internet of Things (IoT) Basics
Abstract
The Internet of Things (IoT) refers to a system of interrelated, internet connected objects that are able to collect and transfer data over a wireless network without human intervention. With ever increasing number of devices connected to the network, we will explore the history and need for IoT. This will be followed by introduction IoT architecture and technologies shaping the Cyber Physical System enabled by IoT technology. Lastly, we will cover advances in various standards for IoT networks.
Title: Fostering Rural Connectivity via 6G
Abstract
Digital divide is most pronounced in the remote and rural areas. There is a need for an affordable and scalable broadband solution. 6G could be the first mobile connectivity generation that aims for closing the digital divide. In the first part of this talk, we will highlight the requirements and challenges in providing high-speed connectivity in the rural areas. The second part would present the current research carried out in this field and the use of distributed beamforming in providing energy-efficient and scalable rural connectivity.
Title: Co-Design for Deep Learning and Graph Analytics
Abstract
The advancements in the field of A.I. have been phenomenal over the past decade, and this has been fueled by the deluge of data and the availability of computing power. The design of computer systems to enable the processing of large scale models in real-time to bring these innovations to our fingertips has also advanced rapidly during this time. Deep Learning algorithms exhibit a few similarities under the hood and this behavior enables the systems to cater to the required architectural support. To address these needs, there has been a significant amount of work in the recent past on designing systems to enable – acceleration units within CPUs, Specialized Graph Analytics systems, Custom accelerators for DL and features within the GPUs. Intel is at the forefront of this, with the majority of Inference happening on Xeon systems and with verticals that cater to specialized needs where needed; this talk will focus on an overview of this massive new wave from a systems perspective.
Title: Laser Powered UAV-Assisted Communications with NOMA and Non-Linear Energy Harvesting
Abstract:
The emerging unmanned aerial vehicles (UAVs) have been playing an increasing role in the military, public, and civil applications. Very recently, 3GPP has approved the study item on enhanced support to seamlessly integrate UAVs into future cellular networks. Unlike terrestrial cellular networks, UAV communications have many distinctive features such as high dynamic network topologies and weakly connected communication links. In addition, they still suffer from some practical constraints such as battery power, no-fly zone, etc. As such, many standards, protocols, and design methodologies used in terrestrial wireless networks are not directly applicable to airborne communication networks. Therefore, it is essential to develop new communication, signal processing, and optimization techniques to enable high data-rate transmissions to assist the terrestrial communications in LTE. Typically, to integrate UAVs into cellular networks, one needs to consider two main scenarios of UAV applications, First, dedicated UAVs, also called drones, can be used as communication platforms in the way as wireless access points or relays nodes, to further assist the terrestrial communications. This type of applications can be referred to as UAV Assisted Cellular Communications. UAV-assisted cellular communications have numerous use cases, including traffic offloading, wireless backhauling, swift service recovery after natural disasters, emergency response, rescue and search, information dissemination/broadcasting, and data collection from ground sensors for machine-type communications. Second type of application is to exploit UAVs for sensing purposes due to its advantages of on-demand flexible deployment, larger service coverage compared with the conventional fixed sensor nodes, and ability to hover. Specially, UAVs, equipped with cameras or sensors, have come into our daily lives to execute critical real-time sensing tasks, such as smart agriculture, security monitoring, forest fire detection, and traffic surveillance. Due to the limited computation capability of UAVs, the real-time sensory data needs to be transmitted to the BS for real-time data processing. In this regard, the cellular networks are necessarily committed to support the data transmission for UAVs, which we refer to as Cellular assisted UAV Sensing.
The aim of this talk is to bring together control, signal processing engineers, computer and information scientists, applied mathematicians and statisticians, as well as systems engineers to carve out the role that analytical and experimental engineering has to play in UAV research and development. We will emphasize on UAV technologies and applications for cellular networks. There are two main objectives. The first objective is to provide an introduction to the UAV paradigm, from 5G and beyond communication perspective. The second objective is to discuss laser powered UAV-assisted cellular communications. Many examples will be illustrated in details so as to provide wide scope for general audiences.
Title: Cyber Physical Security for Internet-of-things – A Deeper Look
Abstract
Cyber physical assets connected to the internet are being widely deployed, ranging from smart garage door openers, smart home locks, smart TVs and home automation systems to automobiles – this rise in the Internet-of-things (IoT) and Cyber Physical Systems (CPS) links together devices that were previously isolated. To enable all inherent synergies among these systems, and to integrate security-critical services, smart systems need to be protected against unauthorized access and security attacks. In this talk, we discuss a framework that will be open and integrate advanced state-of-the-art technologies such as machine learning and recommendation systems, and decision-support services (involving humans-in-the-loop) to assess risks and prepare IoT protection, in order to prevent, detect, respond to CPS threats.
Title: Dynamic Spectrum Sharing: A Key Enabler for 5G and Beyond Wireless Networks
Abstract:
The demand for additional spectrum is skyrocketing in recent years due to widespread proliferation of wireless devices and applications of all types. All useful frequency bands allocated for wireless communications are now crowded and unable to cope up with this increase in the demand, thereby creating an apparent spectrum scarcity for new wireless applications. On the other hand, field measurements show that up to 90% of the spectrum remain idle in many locations at any given time. This has clearly highlighted inadequacy of legacy spectrum regulation techniques based on long-term static spectrum allocation and exclusive use. There have been research efforts going on around the world to move from static spectrum allocation to dynamic spectrum sharing to efficiently use the available spectrum for 5G and beyond wireless networks. In this talk, an overview and motivation for spectrum sharing in 5G and beyond wireless networks is first provided. Various spectrum sharing models are then introduced. The progress in dynamic spectrum sharing research starting from Cognitive Radios (CR) to Licensed Shared Access (LSA) and Citizens Broadband Radio Service (CBRS) is discussed. Future spectrum sharing research challenges are then highlighted.
Title: Moving toward Design of Data-Driven IoT Model using Deep Learning (TinyML) for Human Activity Recognition
Abstract
This talk will cover in brief about IoT devices and it's application in the healthcare domain. The main focus of the talk will be the human activity data collection using an arduino nano 33 BLE sensor. The talk will further cover the concept of human gait and pattern. The talk will also provide insights on a deep learning model using TinyML, Human Activity Recognition using gait data and implementation using compressed deep learning (TinyML).
Title: Molecular Communication: Fundamentals, Evolution, and Role in 6G and Beyond Communication
Abstract:
The engineered molecular communication has got notable attention from the communication researchers due to its possible application in a wide range of areas such as disease detection, disease treatment, lab-on-chip and toxic agent detection in the environment. In molecular communication the nanomachines which are used as transmitter and receiver are equipped with actuating and sensing mechanisms i.e., transmitter nanomachines (TN) have the ability to actuate the transmission of information through molecules by sensing the surrounding conditions, and receiver nanomachines are capable of sensing the information carrying molecules. This talk will focus on the fundamentals and current advancements in the area of molecular and biological communications. We will also discuss the role of molecular and biological communications in the future generation communication systems such as 6G and beyond.
Title: Full-Duplex for Next-Gen Wireless Communication
Abstract
The recent deployment of 5G New Radio (NR) around the world has been categorized into two separate sets of frequency bands: < 7.225 GHz, known as frequency range 1 (FR1) and 24.25-52.6 GHz, known as FR2. While much higher bandwidth is available in FR2 (millimeter wave frequencies), it can only be used for short-range, high data rate applications. On the other hand, the FR1, which is suitable for long-range communication is plagued by limited availability of spectrum. In this regard, In-band full duplex (IBFD) communications supporting concurrent transmission and reception in a single time/frequency channel – has the potential of doubling the attainable spectral efficiency and throughput and reducing latency. The performance of IBFD systems has long been constrained by high self-interference (SI) due to the proximity of the transmitter to its own receiver. However, recent advances in IBFD systems have shown that SI can be mitigated successfully to the extent that true benefits of IBFD systems can be sustained. These advantages have elevated IBFD to the pinnacle of beyond 5G communications, which is evident from the fact that several start-ups on FD, such as Kumu Networks, Lextrum, GenXComm, etc., are being backed by technological giants such as Verizon, Cisco, T-Mobile, Intel, NASA, etc. Accordingly, this tutorial will center around, 1. Providing a general introduction on future wireless communications and the impending spectrum crunch that awaits the communication industry due to the advent of “always connected devices”. 2. Demonstrating the basic concepts of FD transmission and summarizing the key advantages. The implementation constraints, research challenges, opportunities, and potential solutions will also be identified.
Title: Dynamic Spectrum Sharing: A Key Enabler for 5G and Beyond Wireless Networks
Abstract:
Unmanned aerial vehicles (UAVs), also known as drones, are proliferating. Applications, such as surveillance, disaster management, and drone racing, place high requirements on the communication with the drones in terms of throughput, reliability, and latency. The existing wireless technologies, notably Wi-Fi, that are currently used for drone connectivity are limited to short ranges and low-mobility situations. New, scalable technology is needed to meet future demands on long connectivity ranges, support for fast-moving drones, and the possibility to simultaneously communicate with entire swarms of drones. Massive multiple-input and multiple-output (MIMO), the main technology component of emerging 5G standards, has the potential to meet these requirements. In this talk, we will discuss i) challenges involved in drone communications, ii) various aspects of Massive MIMO based communication system design for a swarm of drones, and iii) possible future research directions.
Title: Intelligent Reflecting Surfaces: Physical Layer Perspective and Potential Applications
Abstract
Intelligent reflecting surface (IRS) has emerged as a promising and cost-effective solution for energy efficient wireless communication systems. It allows the network operators to control the signal propagation characteristics such as scattering, reflection, and refraction. Recent results have shown that IRSs can effectively control the phase and amplitude of the incident radio frequency (RF) signal without requiring complex RF signal processing algorithms. In this talk, we aim to provide an overview of IRS transmission protocol, controlling mechanism, practical reflection with finite phase shifts, and state-of-the-art solutions, especially from a physical layer perspective. In particular, we present the performance analysis of a novel on-off controlling mechanism at IRS and demonstrate the impact of number of reflecting elements on the system performance. We also focus on the potential applications of these surfaces in 6G and beyond wireless communication systems.
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