Search Results for author: Lajos Hanzo

Found 57 papers, 0 papers with code

Joint Sparsity Pattern Learning Based Channel Estimation for Massive MIMO-OTFS Systems

no code implementations6 Mar 2024 Kuo Meng, Shaoshi Yang, Xiao-Yang Wang, Yan Bu, Yurong Tang, Jianhua Zhang, Lajos Hanzo

We propose a channel estimation scheme based on joint sparsity pattern learning (JSPL) for massive multi-input multi-output (MIMO) orthogonal time-frequency-space (OTFS) modulation aided systems.

Angularly Sparse Channel Estimation in Dual-Wideband Tera-Hertz (THz) Hybrid MIMO Systems Relying on Bayesian Learning

no code implementations19 Feb 2024 Abhisha Garg, Suraj Srivastava, Nimish Yadav, Aditya K. Jagannatham, Lajos Hanzo

Bayesian learning aided massive antenna array based THz MIMO systems are designed for spatial-wideband and frequency-wideband scenarios, collectively termed as the dual-wideband channels.

Energy-efficient Time-modulated Beam-forming for Joint Communication-Radar Systems

no code implementations7 Aug 2023 Chengzhao Shan, Jiayan Zhang, YongKui Ma, Xuejun Sha, Honglin Zhao, Jiankang Zhang, Lajos Hanzo

JCR systems based on time-modulated arrays (TMAs) constitute an attractive solution as a benefit of their high degree of beam steering freedom, low cost, and high accuracy.

Learning a Common Dictionary for CSI Feedback in FDD Massive MU-MIMO-OFDM Systems

no code implementations29 Jul 2023 Pavan Kumar Gadamsetty, K. V. S. Hari, Lajos Hanzo

The CSI feedback is reduced by 50%, and the memory reduction at both the UE and BS starts from 50% and increases with the number of subcarriers.

Compressive Sensing Dictionary Learning

When UAVs Meet ISAC: Real-Time Trajectory Design for Secure Communications

no code implementations25 Jun 2023 Jun Wu, Weijie Yuan, Lajos Hanzo

The real-time unmanned aerial vehicle (UAV) trajectory design of secure integrated sensing and communication (ISAC) is optimized.

Hybrid Precoder and Combiner Designs for Decentralized Parameter Estimation in mmWave MIMO Wireless Sensor Networks

no code implementations25 Jun 2023 Priyanka Maity, Suraj Srivastava, Kunwar Pritiraj Rajput, Naveen K. D. Venkategowda, Aditya K. Jagannatham, Lajos Hanzo

Hybrid precoder and combiner designs are conceived for decentralized parameter estimation in millimeter wave (mmWave) multiple-input multiple-output (MIMO) wireless sensor networks (WSNs).

Benchmarking

Data-Aided CSI Estimation Using Affine-Precoded Superimposed Pilots in Orthogonal Time Frequency Space Modulated MIMO Systems

no code implementations25 May 2023 Anand Mehrotra, Suraj Srivastava, Aditya K. Jagannatham, Lajos Hanzo

The data and pilot symbol matrices are affine-precoded and superimposed in the delay Doppler-domain followed by the development of an end-to-end DD-domain relationship for the input-output symbols.

Resource Allocation for Cell-Free Massive MIMO-aided URLLC Systems Relying on Pilot Sharing

no code implementations21 Mar 2023 Qihao Peng, Hong Ren, Mianxiong Dong, Maged Elkashlan, Kai-Kit Wong, Lajos Hanzo

Specifically, to support multiple devices with limited pilot overhead, pilot reuse among the users is considered, where we formulate a joint pilot length and pilot allocation strategy for maximizing the number of devices admitted.

On the Road to 6G: Visions, Requirements, Key Technologies and Testbeds

no code implementations28 Feb 2023 Cheng-Xiang Wang, Xiaohu You, Xiqi Gao, Xiuming Zhu, Zixin Li, Chuan Zhang, Haiming Wang, Yongming Huang, Yunfei Chen, Harald Haas, John S. Thompson, Erik G. Larsson, Marco Di Renzo, Wen Tong, Peiying Zhu, Xuemin, Shen, H. Vincent Poor, Lajos Hanzo

A series of white papers and survey papers have been published, which aim to define 6G in terms of requirements, application scenarios, key technologies, etc.

RIS-Position and Orientation Estimation in MIMO-OFDM Systems with Practical Scatterers

no code implementations9 Feb 2023 Sheng Hong, Minghui Li, Cunhua Pan, Marco Di Renzo, Wei zhang, Lajos Hanzo

A two-step positioning scheme is exploited, where the channel parameters are first acquired, and the position-related parameters are then estimated.

Position

Privacy-Preserving Joint Edge Association and Power Optimization for the Internet of Vehicles via Federated Multi-Agent Reinforcement Learning

no code implementations26 Jan 2023 Yan Lin, Jinming Bao, Yijin Zhang, Jun Li, Feng Shu, Lajos Hanzo

Proactive edge association is capable of improving wireless connectivity at the cost of increased handover (HO) frequency and energy consumption, while relying on a large amount of private information sharing required for decision making.

Decision Making Multi-agent Reinforcement Learning +1

Multiple-Antenna Aided Aeronautical Communications in Air-Ground Integrated Networks: Channel Estimation, Reliable Transmission, and Multiple Access

no code implementations15 Jan 2023 Jingjing Zhao, YanBo Zhu, Kaiquan Cai, Zhen Gao, Zhu Han, Lajos Hanzo

To provide seamless coverage during all flight phases, aeronautical communications systems (ACS) have to integrate space-based, air-based, as well as ground-based platforms to formulate aviation-oriented space-air-ground integrated networks (SAGINs).

Management

Simultaneously Transmitting and Reflecting (STAR) RIS Assisted Over-the-Air Computation Systems

no code implementations5 Jan 2023 Xiongfei Zhai, Guojun Han, Yunlong Cai, Yuanwei Liu, Lajos Hanzo

The performance of over-the-air computation (AirComp) systems degrades due to the hostile channel conditions of wireless devices (WDs), which can be significantly improved by the employment of reconfigurable intelligent surfaces (RISs).

Joint Beamforming Design for Dual-Functional MIMO Radar and Communication Systems Guaranteeing Physical Layer Security

no code implementations1 Jan 2023 Fuwang Dong, Wei Wang, Xin Li, Fan Liu, Sheng Chen, Lajos Hanzo

The dual-functional radar and communication (DFRC) technique constitutes a promising next-generation wireless solution, due to its benefits in terms of power consumption, physical hardware, and spectrum exploitation.

Robust Linear Hybrid Beamforming Designs Relying on Imperfect CSI in mmWave MIMO IoT Networks

no code implementations25 Dec 2022 Kunwar Pritiraj Rajput, Priyanka Maity, Suraj Srivastava, Vikas Sharma, Naveen K. D. Venkategowda, Aditya K. Jagannatham, Lajos Hanzo

Linear hybrid beamformer designs are conceived for the decentralized estimation of a vector parameter in a millimeter wave (mmWave) multiple-input multiple-output (MIMO) Internet of Things network (IoTNe).

The Internet of Senses: Building on Semantic Communications and Edge Intelligence

no code implementations21 Dec 2022 Roghayeh Joda, Medhat Elsayed, Hatem Abou-zeid, Ramy Atawia, Akram Bin Sediq, Gary Boudreau, Melike Erol-Kantarci, Lajos Hanzo

On the other hand, AI/ML facilitates frugal network resource management by making use of the enormous amount of data generated in IoS edge nodes and devices, as well as by optimizing the IoS performance via intelligent agents.

Management

Cooperative Hybrid Transmit Beamforming in Cell-free mmWave MIMO Networks

no code implementations14 Dec 2022 Meesam Jafri, Suraj Srivastava, Naveen K. D. Venkategowda, Aditya K. Jagannatham, Lajos Hanzo

Hybrid precoders and combiners are designed for cooperative cell-free multi-user millimeter wave (mmWave) multiple-input multiple-output (MIMO) cellular networks for low complexity interference mitigation.

Distributed Spatio-Temporal Information Based Cooperative 3D Positioning in GNSS-Denied Environments

no code implementations25 Aug 2022 Yue Cao, Shaoshi Yang, Zhiyong Feng, Lihua Wang, Lajos Hanzo

A distributed spatio-temporal information based cooperative positioning (STICP) algorithm is proposed for wireless networks that require three-dimensional (3D) coordinates and operate in the global navigation satellite system (GNSS) denied environments.

Simultaneous Beam and User Selection for the Beamspace mmWave/THz Massive MIMO Downlink

no code implementations21 Aug 2022 Kai Wu, J. Andrew Zhang, Xiaojing Huang, Y. Jay Guo, Lajos Hanzo

We then exploit its beneficial properties for substantially simplifying the joint user and beam selection problem.

Latency Minimization for mmWave D2D Mobile Edge Computing Systems: Joint Task Allocation and Hybrid Beamforming Design

no code implementations17 Jul 2022 Yanzhen Liu, Yunlong Cai, An Liu, MinJian Zhao, Lajos Hanzo

Mobile edge computing (MEC) and millimeter wave (mmWave) communications are capable of significantly reducing the network's delay and enhancing its capacity.

Edge-computing

Joint Location and Beamforming Design for STAR-RIS Assisted NOMA Systems

no code implementations26 Jun 2022 Qiling Gao, Yuanwei Liu, Xidong Mu, Min Jia, Dongbo Li, Lajos Hanzo

Simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted non-orthogonal multiple access (NOMA) communication systems are investigated in its vicinity, where a STAR-RIS is deployed within a predefined region for establishing communication links for users.

Hybrid Reinforcement Learning for STAR-RISs: A Coupled Phase-Shift Model Based Beamformer

no code implementations10 May 2022 Ruikang Zhong, Yuanwei Liu, Xidong Mu, Yue Chen, Xianbin Wang, Lajos Hanzo

Despite the coupled nature of the phase-shift model, the formulated problem is solved by invoking a hybrid continuous and discrete phase-shift control policy.

reinforcement-learning Reinforcement Learning (RL)

Deep Reinforcement Learning Aided Platoon Control Relying on V2X Information

no code implementations28 Mar 2022 Lei Lei, Tong Liu, Kan Zheng, Lajos Hanzo

In this context, the value of V2X communications for DRL-based platoon controllers is studied with an emphasis on the tradeoff between the gain of including exogenous information in the system state for reducing uncertainty and the performance erosion due to the curse-of-dimensionality.

reinforcement-learning Reinforcement Learning (RL)

Reconfigurable Intelligent Surface (RIS)-aided Vehicular Networks: Their Protocols, Resource Allocation, and Performance

no code implementations5 Mar 2022 Yuanbin Chen, Ying Wang, Jiayi Zhang, Ping Zhang, Lajos Hanzo

Reconfigurable intelligent surfaces (RISs) assist in paving the way for the evolution of conventional vehicular networks to autonomous driving.

Autonomous Driving

Hybrid 3D Beamforming Relying on Sensor-Based Training and Channel Estimation for Reconfigurable Intelligent Surface Aided TeraHertz MIMO systems

no code implementations26 Jan 2022 Xufang Wang, Zihuai Lin, Feng Lin, Lajos Hanzo, Life Fellow

Moreover, the conditions of maintaining the orthogonality of the RIS-aided THz channel are derived in support of spatial multiplexing.

Joint Hybrid and Passive RIS-Assisted Beamforming for MmWave MIMO Systems Relying on Dynamically Configured Subarrays

no code implementations12 Jan 2022 Chenghao Feng, Wenqian Shen, Jianping An, Lajos Hanzo

Specifically, the associated bandwidth-efficiency maximization problem is transformed into a series of sub-problems, where the sub-array of phase shifters and RIS elements are jointly optimized for maximizing each sub-array's rate.

Low Earth Orbit Satellite Security and Reliability: Issues, Solutions, and the Road Ahead

no code implementations9 Jan 2022 Pingyue Yue, Jianping An, Jiankang Zhang, Jia Ye, Gaofeng Pan, Shuai Wang, Pei Xiao, Lajos Hanzo

Low Earth Orbit (LEO) satellites undergo a period of rapid development driven by ever-increasing user demands, reduced costs, and technological progress.

Analogue Radio Over Fiber for Next-Generation RAN: Challenges and Opportunities

no code implementations27 Nov 2021 Yichuan Li, Qijie Xie, Mohammed El-Hajjar, Lajos Hanzo

The radio access network (RAN) connects the users to the core networks, where typically digitised radio over fiber (D-RoF) links are employed.

Cooperative Multiterminal Radar and Communication: A New Paradigm for 6G Mobile Networks

no code implementations9 Nov 2021 Leonardo Leyva, Daniel Castanheira, Adão Silva, Atílio Gameiro, Lajos Hanzo

The impending spectrum congestion imposed by the emergence of new bandwidth-thirsty applications may be mitigated by the integration of radar and classic communications functionalities in a common system.

Deep Reinforcement Learning Aided Packet-Routing For Aeronautical Ad-Hoc Networks Formed by Passenger Planes

no code implementations28 Oct 2021 Dong Liu, Jingjing Cui, Jiankang Zhang, Chenyang Yang, Lajos Hanzo

Data packet routing in aeronautical ad-hoc networks (AANETs) is challenging due to their high-dynamic topology.

Deep Learning Aided Packet Routing in Aeronautical Ad-Hoc Networks Relying on Real Flight Data: From Single-Objective to Near-Pareto Multi-Objective Optimization

no code implementations28 Oct 2021 Dong Liu, Jiankang Zhang, Jingjing Cui, Soon-Xin Ng, Robert G. Maunder, Lajos Hanzo

Furthermore, we extend the DL-aided routing algorithm to a multi-objective scenario, where we aim for simultaneously minimizing the delay, maximizing the path capacity, and maximizing the path lifetime.

Deep Learning Aided Routing for Space-Air-Ground Integrated Networks Relying on Real Satellite, Flight, and Shipping Data

no code implementations28 Oct 2021 Dong Liu, Jiankang Zhang, Jingjing Cui, Soon-Xin Ng, Robert G. Maunder, Lajos Hanzo

Current maritime communications mainly rely on satellites having meager transmission resources, hence suffering from poorer performance than modern terrestrial wireless networks.

Hybrid Transceiver Design for Tera-Hertz MIMO Systems Relying on Bayesian Learning Aided Sparse Channel Estimation

no code implementations20 Sep 2021 Suraj Srivastava, Ajeet Tripathi, Neeraj Varshney, Aditya K. Jagannatham, Lajos Hanzo

Hybrid transceiver design in multiple-input multiple-output (MIMO) Tera-Hertz (THz) systems relying on sparse channel state information (CSI) estimation techniques is conceived.

Benchmarking

Physical Layer Anonymous Precoding: The Path to Privacy-Preserving Communications

no code implementations18 Sep 2021 Zhongxiang Wei, Christos Masouros, H. Vincent Poor, Athina P. Petropulu, Lajos Hanzo

In contrast to traditional security and privacy designs that aim to prevent confidential information from being eavesdropped upon by adversaries, or learned by unauthorized parties, in this paper we consider designs that mask the users' identities during communication, hence resulting in anonymous communications.

Cloud Computing Privacy Preserving

Spectrum Learning-Aided Reconfigurable Intelligent Surfaces for 'Green' 6G Networks

no code implementations3 Sep 2021 Bo Yang, Xuelin Cao, Chongwen Huang, Yong Liang Guan, Chau Yuen, Marco Di Renzo, Dusit Niyato, Merouane Debbah, Lajos Hanzo

In the sixth-generation (6G) era, emerging large-scale computing based applications (for example processing enormous amounts of images in real-time in autonomous driving) tend to lead to excessive energy consumption for the end users, whose devices are usually energy-constrained.

Autonomous Driving

Simultaneously Transmitting and Reflecting (STAR) Intelligent Omni-Surfaces, Their Modeling and Implementation

no code implementations13 Aug 2021 Jiaqi Xu, Yuanwei Liu, Xidong Mu, Joey Tianyi Zhou, Lingyang Song, H. Vincent Poor, Lajos Hanzo

With the rapid development of advanced electromagnetic manipulation technologies, researchers and engineers are starting to study smart surfaces that can achieve enhanced coverages, high reconfigurability, and are easy to deploy.

Wideband Channel Estimation for IRS-Aided Systems in the Face of Beam Squint

no code implementations5 Jun 2021 Siqi Ma, Wenqian Shen, Jianping An, Lajos Hanzo

Intelligent reflecting surfaces (IRSs) improve both the bandwidth and energy efficiency of wideband communication systems by using low-cost passive elements for reflecting the impinging signals with adjustable phase shifts.

Cooperative 3D Beamforming for Small-Cell and Cell-Free 6G Systems

no code implementations16 May 2021 Sarath Gopi, Sheetal Kalyani, Lajos Hanzo

Three dimensional (3D) resource reuse is an important design requirement for the prospective 6G wireless communication systems.

Reconfigurable Intelligent Surface Aided Mobile Edge Computing

no code implementations4 Feb 2021 Tong Bai, Cunhua Pan, Chao Han, Lajos Hanzo

Against this background, this article provides an overview of RIS-assisted MEC systems and highlights their four use cases as well as their design challenges and solutions.

Edge-computing

Airplane-Aided Integrated Next-Generation Networking

no code implementations3 Jan 2021 Muralikrishnan Srinivasan, Sarath Gopi, Sheetal Kalyani, Xiaojing Huang, Lajos Hanzo

A high-rate yet low-cost air-to-ground (A2G) communication backbone is conceived for integrating the space and terrestrial network by harnessing the opportunistic assistance of the passenger planes or high altitude platforms (HAPs) as mobile base stations (BSs) and millimetre wave communication.

Direct Quantum Communications in the Presence of Realistic Noisy Entanglement

no code implementations22 Dec 2020 Daryus Chandra, Angela Sara Cacciapuoti, Marcello Caleffi, Lajos Hanzo

To circumvent this impediment, we propose a novel quantum communication scheme relying on realistic noisy pre-shared entanglement, which eliminates the sequential steps imposing delay in the standard approach.

Quantum Physics Information Theory Information Theory

Sampling Overhead Analysis of Quantum Error Mitigation: Uncoded vs. Coded Systems

no code implementations15 Dec 2020 Yifeng Xiong, Daryus Chandra, Soon Xin Ng, Lajos Hanzo

Quantum error mitigation (QEM) is a promising technique of protecting hybrid quantum-classical computation from decoherence, but it suffers from sampling overhead which erodes the computational speed.

Quantum Physics Information Theory Information Theory

Reconfigurable Intelligent Surfaces for 6G Systems: Principles, Applications, and Research Directions

no code implementations9 Nov 2020 Cunhua Pan, Hong Ren, Kezhi Wang, Jonas Florentin Kolb, Maged Elkashlan, Ming Chen, Marco Di Renzo, Yang Hao, Jiangzhou Wang, A. Lee Swindlehurst, Xiaohu You, Lajos Hanzo

Reconfigurable intelligent surfaces (RISs) or intelligent reflecting surfaces (IRSs), are regarded as one of the most promising and revolutionizing techniques for enhancing the spectrum and/or energy efficiency of wireless systems.

Physical Layer Security of Intelligent Reflective Surface Aided NOMA Networks

no code implementations6 Nov 2020 Zhiqing Tang, Tianwei Hou, Yuanwei Liu, Jiankang Zhang, Lajos Hanzo

We finally show that: 1) the expectation of the channel gain in the reflected links is determined both by the number of IRSs and by the Nakagami-m fading parameters; 2) The SOP of both receiver 1 and receiver 2 becomes unity, when the number of IRSs is sufficiently high; 3) The secrecy diversity orders are affected both by the number of IRSs and by the Nakagami-m fading parameters, whereas the high-SNR slopes are not affected by these parameters.

Unity

Multi-Agent Deep Reinforcement Learning Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing

no code implementations23 Sep 2020 Liang Wang, Kezhi Wang, Cunhua Pan, Wei Xu, Nauman Aslam, Lajos Hanzo

An unmanned aerial vehicle (UAV)-aided mobile edge computing (MEC) framework is proposed, where several UAVs having different trajectories fly over the target area and support the user equipments (UEs) on the ground.

Edge-computing Fairness +1

Stochastic Hybrid Combining Design for Quantized Massive MIMO Systems

no code implementations24 Aug 2020 Yalin Wang, Xihan Chen, Yunlong Cai, Lajos Hanzo

Both the power-dissipation and cost of massive multiple-input multiple-output (mMIMO) systems may be substantially reduced by using low-resolution analog-to-digital converters (LADCs) at the receivers.

Quantization Stochastic Optimization

Low-Complexity Joint Power Allocation and Trajectory Design for UAV-Enabled Secure Communications with Power Splitting

no code implementations23 Aug 2020 Kaidi Xu, Ming-Min Zhao, Yunlong Cai, Lajos Hanzo

An unmanned aerial vehicle (UAV)-aided secure communication system is conceived and investigated, where the UAV transmits legitimate information to a ground user in the presence of an eavesdropper (Eve).

Deep Learning for Wireless Communications: An Emerging Interdisciplinary Paradigm

no code implementations12 Jul 2020 Linglong Dai, Ruicheng Jiao, Fumiyuki Adachi, H. Vincent Poor, Lajos Hanzo

Hence, in this review, a pair of dominant methodologies of using DL for wireless communications are investigated.

Intelligent Reflecting Surface Assisted Beam Index-Modulation for Millimeter Wave Communication

no code implementations26 Mar 2020 Sarath Gopi, Sheetal Kalyani, Lajos Hanzo

Millimeter wave communication is eminently suitable for high-rate wireless systems, which may be beneficially amalgamated with intelligent reflecting surfaces (IRS), relying on beam-index modulation.

Accelerating Deep Reinforcement Learning With the Aid of Partial Model: Energy-Efficient Predictive Video Streaming

no code implementations21 Mar 2020 Dong Liu, Jianyu Zhao, Chenyang Yang, Lajos Hanzo

Predictive power allocation is conceived for energy-efficient video streaming over mobile networks using deep reinforcement learning.

Artificial Intelligence Aided Next-Generation Networks Relying on UAVs

no code implementations28 Jan 2020 Xiao Liu, Mingzhe Chen, Yuanwei Liu, Yue Chen, Shuguang Cui, Lajos Hanzo

Artificial intelligence (AI) assisted unmanned aerial vehicle (UAV) aided next-generation networking is proposed for dynamic environments.

Position

Optimizing Wireless Systems Using Unsupervised and Reinforced-Unsupervised Deep Learning

no code implementations3 Jan 2020 Dong Liu, Chengjian Sun, Chenyang Yang, Lajos Hanzo

If the objective and constraint functions are unavailable, reinforcement learning can be applied to find the solution of a functional optimization problem, which is however not tailored to optimization problems in wireless networks.

Latency Minimization for Intelligent Reflecting Surface Aided Mobile Edge Computing

no code implementations17 Oct 2019 Tong Bai, Cunhua Pan, Yansha Deng, Maged Elkashlan, Arumugam Nallanathan, Lajos Hanzo

In this paper, the beneficial role of IRSs is investigated in MEC systems, where single-antenna devices may opt for off-loading a fraction of their computational tasks to the edge computing node via a multi-antenna access point with the aid of an IRS.

Edge-computing

MIMO Assisted Networks Relying on Intelligent Reflective Surfaces

no code implementations2 Oct 2019 Tianwei Hou, Yuanwei Liu, Zhengyu Song, Xin Sun, Yue Chen, Lajos Hanzo

The network's SE and EE are also derived.

Information Theory Signal Processing Information Theory

Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks

no code implementations24 Jan 2019 Jingjing Wang, Chunxiao Jiang, Haijun Zhang, Yong Ren, Kwang-cheng Chen, Lajos Hanzo

Future wireless networks have a substantial potential in terms of supporting a broad range of complex compelling applications both in military and civilian fields, where the users are able to enjoy high-rate, low-latency, low-cost and reliable information services.

BIG-bench Machine Learning Decision Making

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