Optimising Resource Efficiency in Future Mobile Communications
Lead Research Organisation:
University of Southampton
Department Name: Electronics and Computer Science
Abstract
Mobile communication systems are becoming more and more complex to design (by researchers), operate (by the operators) and used by the people in the street. Mobile users now wish to be always connected, irrespective of time and place, and have access to a range of new services to help him/her in everyday life, all at the lowest possible cost. Currently no one knows how to evaluate whether a system is efficient or not in such provision. The reason for this is the huge number of parameters involved which collectively influence system efficiency. So far the practice has been to use a subset of such parameters to define localised efficiency -- but this does not provide overall efficiency and it will not lead to low cost or optimum use of scare spectrum. There are three important criteria which need to be considered and designed together to achieve a highly efficient mobile system. These are: quality of offered service, capacity and the cost of the system. Each of these criteria are influenced by a large number of parameters individually, where each have different weightings. Optimum design needs to find a fine balance between the three different criteria and yet currently there is no technique available which enables them to be optimised together to provide the required low cost solution. What makes this difficult is that a mobile system is dynamic by nature in terms of: range of mobility of users, wide range of operational environments, wide range of services with different bit rates and expected qualities, etc. This all points to requirements for a system with a certain degree of adaptability so that the system can self-organise and adapt itself to changing conditions. Currently systems are designed and operated on more or less fixed technique and parameters. These include the design of air-interface, media access control, handover algorithms, cell sizes and fixed frequency band allocation which all lead to wastage of resources and expensive solutions. The mobile systems of the future, addressed herein, are continuously adaptable and reconfigurable and respond automatically to the conditions of environments and user demands. It is only by engaging with these factors that efficiency can be maximised and the required low cost new services can be delivered to users. The challenge of the research described herein is how to collectively design such very complex networks so that users, service providers and network operators will all consider it efficient and cost effective to participate in the mobile vision of the future.
People |
ORCID iD |
Lajos Hanzo (Principal Investigator) |
Publications
Hoang T
(2022)
Deep Learning Aided Physical-Layer Security: The Security Versus Reliability Trade-Off
in IEEE Transactions on Cognitive Communications and Networking
Xiong Y
(2022)
The Accuracy vs. Sampling Overhead Trade-off in Quantum Error Mitigation Using Monte Carlo-Based Channel Inversion
in IEEE Transactions on Communications
He D
(2021)
Deep Learning-Assisted TeraHertz QPSK Detection Relying on Single-Bit Quantization
in IEEE Transactions on Communications
Xiang L
(2024)
Multi-Domain Polarization for Enhancing the Physical Layer Security of MIMO Systems
in IEEE Transactions on Communications
Nasir A
(2022)
Relay-Aided Multi-User OFDM Relying on Joint Wireless Power Transfer and Self-Interference Recycling
in IEEE Transactions on Communications
Shen L
(2024)
D-STAR: Dual Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surfaces for Joint Uplink/Downlink Transmission
in IEEE Transactions on Communications
Liu K
(2022)
Compact User-Specific Reconfigurable Intelligent Surfaces for Uplink Transmission
in IEEE Transactions on Communications
Shi Q
(2022)
Low-Complexity Iterative Detection for Dual-Mode Index Modulation in Dispersive Nonlinear Satellite Channels
in IEEE Transactions on Communications
Zhu W
(2023)
Long-Term Rate-Fairness-Aware Beamforming Based Massive MIMO Systems
in IEEE Transactions on Communications
An J
(2022)
Low-Complexity Channel Estimation and Passive Beamforming for RIS-Assisted MIMO Systems Relying on Discrete Phase Shifts
in IEEE Transactions on Communications
Gong S
(2021)
A Unified MIMO Optimization Framework Relying on the KKT Conditions
in IEEE Transactions on Communications
Zhu W
(2021)
A New Class of Structured Beamforming for Content-Centric Fog Radio Access Networks
in IEEE Transactions on Communications
Wang K
(2022)
Joint Task Offloading and Caching for Massive MIMO-Aided Multi-Tier Computing Networks
in IEEE Transactions on Communications
Sheng Chen
(2006)
Minimum bit-error rate design for space-time equalization-based multiuser detection
in IEEE Transactions on Communications
Wang Z
(2023)
Rapidly Converging Low-Complexity Iterative Transmit Precoders for Massive MIMO Downlink
in IEEE Transactions on Communications
Wang J
(2022)
Unsourced Massive Random Access Scheme Exploiting Reed-Muller Sequences
in IEEE Transactions on Communications
Mehrotra A
(2023)
Online Bayesian Learning Aided Sparse CSI Estimation in OTFS Modulated MIMO Systems for Ultra-High-Doppler Scenarios
in IEEE Transactions on Communications
Rajput K
(2021)
Bayesian Learning-Based Linear Decentralized Sparse Parameter Estimation in MIMO Wireless Sensor Networks Relying on Imperfect CSI
in IEEE Transactions on Communications
Ma Y
(2021)
Parametric Bilinear Iterative Generalized Approximate Message Passing Reception of FTN Multi-Carrier Signaling
in IEEE Transactions on Communications
Srivastava S
(2021)
Sparse, Group-Sparse, and Online Bayesian Learning Aided Channel Estimation for Doubly-Selective mmWave Hybrid MIMO OFDM Systems
in IEEE Transactions on Communications
Chandra D
(2022)
Direct Quantum Communications in the Presence of Realistic Noisy Entanglement
in IEEE Transactions on Communications
Tang Y
(2023)
Probabilistic Constellation Shaping for Molecular Communications
in IEEE Transactions on Communications
Kliewer J
(2006)
Efficient Computation of EXIT Functions for Nonbinary Iterative Decoding
in IEEE Transactions on Communications
Sui Z
(2023)
Space-Time Shift Keying Aided OTFS Modulation for Orthogonal Multiple Access
in IEEE Transactions on Communications
Gao X
(2023)
Multi-Objective Optimization of URLLC-Based Metaverse Services
in IEEE Transactions on Communications
Xiong Y
(2022)
Quantum Error Mitigation Relying on Permutation Filtering
in IEEE Transactions on Communications
Garg A
(2024)
Angularly Sparse Channel Estimation in Dual-Wideband Tera-Hertz (THz) Hybrid MIMO Systems Relying on Bayesian Learning
in IEEE Transactions on Communications
Tuan H
(2024)
RIS-Aided Multiple-Input Multiple-Output Broadcast Channel Capacity
in IEEE Transactions on Communications
Liew T
(2006)
Systematic Redundant Residue Number System Codes: Analytical Upper Bound and Iterative Decoding Performance Over AWGN and Rayleigh Channels
in IEEE Transactions on Communications
Ng S
(2008)
Near-capacity turbo trellis coded modulation design based on EXIT charts and union bounds - [transactions papers]
in IEEE Transactions on Communications
Xu C
(2024)
Optical OTFS is Capable of Improving the Bandwidth-, Power- and Energy-Efficiency of Optical OFDM
in IEEE Transactions on Communications
Srivastava S
(2022)
Bayesian Learning Aided Simultaneous Row and Group Sparse Channel Estimation in Orthogonal Time Frequency Space Modulated MIMO Systems
in IEEE Transactions on Communications
Shan C
(2023)
Energy-Efficient Time-Modulated Beam-Forming for Joint Communication-Radar Systems
in IEEE Transactions on Green Communications and Networking
Ragheb M
(2022)
On the Physical Layer Security of Untrusted Millimeter Wave Relaying Networks: A Stochastic Geometry Approach
in IEEE Transactions on Information Forensics and Security
Bastami H
(2021)
On the Physical Layer Security of the Cooperative Rate-Splitting-Aided Downlink in UAV Networks
in IEEE Transactions on Information Forensics and Security
Chen S
(2008)
Symmetric complex-valued RBF receiver for multiple-antenna-aided wireless systems.
in IEEE transactions on neural networks
Chen S
(2008)
Symmetric RBF classifier for nonlinear detection in multiple-antenna-aided systems.
in IEEE transactions on neural networks
Chen S
(2006)
MBER Space-Time Decision Feedback Equalization Assisted Multiuser Detection for Multiple Antenna Aided SDMA Systems
in IEEE Transactions on Signal Processing
Chen X
(2021)
Joint User Scheduling and Resource Allocation for Millimeter Wave Systems Relying on Adaptive-Resolution ADCs
in IEEE Transactions on Vehicular Technology
Jiang M
(2006)
Hybrid Iterative Multiuser Detection for Channel Coded Space Division Multiple Access OFDM Systems
in IEEE Transactions on Vehicular Technology
Bonello N
(2008)
Construction of Regular Quasi-Cyclic Protograph LDPC Codes Based on Vandermonde Matrices
in IEEE Transactions on Vehicular Technology
An J
(2022)
Low-Complexity Improved-Rate Generalised Spatial Modulation: Bit-to-Symbol Mapping, Detection and Performance Analysis
in IEEE Transactions on Vehicular Technology
Xiang Liu
(2008)
Precise BER Formulas for Asynchronous QPSK-Modulated DS-CDMA Systems Using Random Quaternary Spreading Over Rayleigh Channels
in IEEE Transactions on Vehicular Technology
Wu N
(2008)
Precoded Sphere-Packing-Aided Bit-Interleaved Differential Space-Time Coded Modulation Using Iterative Decoding
in IEEE Transactions on Vehicular Technology
Shuang Tan
(2008)
Three-Stage Turbo MBER Multiuser Beamforming Receiver Using Irregular Convolutional Codes
in IEEE Transactions on Vehicular Technology
Wang Y
(2022)
RIS-Aided Hybrid Massive MIMO Systems Relying on Adaptive-Resolution ADCs: Robust Beamforming Design and Resource Allocation
in IEEE Transactions on Vehicular Technology
Chen Y
(2024)
Enhancing the Downlink Rate Fairness of Low-Resolution Active RIS-Aided Signaling by Closed-Form Expression-Based Iterative Optimization
in IEEE Transactions on Vehicular Technology
How H
(2006)
A Redundant Residue Number System Coded Burst-by-Burst Adaptive Joint-Detection Based CDMA Speech Transceiver
in IEEE Transactions on Vehicular Technology
Srinivasan M
(2021)
Airplane-Aided Integrated Next-Generation Networking
in IEEE Transactions on Vehicular Technology
Chawla A
(2021)
Distributed Detection for Centralized and Decentralized Millimeter Wave Massive MIMO Sensor Networks
in IEEE Transactions on Vehicular Technology
Description | Numerous sophisticated transmission and reception schemes were conceived, including multi-user detectors, Interleave Division Multiple Access (IDMA) schemes, Multi-user transmitters, sphere-decoders, etc; |
Exploitation Route | They have been exploited by the 20 or so companies of the Mobile Virtual Centre of Excellence (MVCE) and by the academic community through our publications and books; |
Sectors | Aerospace, Defence and Marine,Creative Economy,Education,Electronics,Healthcare,Transport |
URL | httP://www-mobile.ecs.soton.ac.uk |
Description | The companies of the MVCE created mobile phone products; |
First Year Of Impact | 2006 |
Sector | Aerospace, Defence and Marine,Creative Economy,Digital/Communication/Information Technologies (including Software),Education,Electronics,Transport |
Impact Types | Cultural,Societal,Economic |
Description | European Union Framework 7 |
Amount | £240,000 (GBP) |
Funding ID | Concerto propject |
Organisation | European Commission |
Department | Seventh Framework Programme (FP7) |
Sector | Public |
Country | European Union (EU) |
Start | 02/2012 |
End | 12/2014 |
Description | VCE Mobile & Personal Comm Ltd |
Organisation | VCE Mobile & Personal Comm Ltd |
Country | United Kingdom |
Sector | Private |
Start Year | 2006 |