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

Mehrotra A
(2024)
Online Bayesian Learning-Aided Sparse CSI Estimation in OTFS Modulated MIMO Systems for Ultra-High-Doppler Scenarios
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

Shen L
(2024)
D-STAR: Dual Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surfaces for Joint Uplink/Downlink Transmission
in IEEE Transactions on Communications

Kliewer J
(2006)
Efficient Computation of EXIT Functions for Nonbinary Iterative Decoding
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

Tuan H
(2024)
RIS-Aided Multiple-Input Multiple-Output Broadcast Channel Capacity
in IEEE Transactions on Communications

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

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 RBF classifier for nonlinear detection in multiple-antenna-aided systems.
in IEEE transactions on neural networks

Chen S
(2008)
Symmetric complex-valued RBF receiver for multiple-antenna-aided wireless 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

Chun-Yi Wei
(2008)
Iterative Near-Maximum-Likelihood Detection in Rank-Deficient Downlink SDMA Systems
in IEEE Transactions on Vehicular Technology

Chen J
(2024)
Deep Learning Aided LLR Correction Improves the Performance of Iterative MIMO Receivers
in IEEE Transactions on Vehicular Technology

Xiang L
(2021)
Soft-Output Successive Cancellation Stack Polar Decoder
in IEEE Transactions on Vehicular Technology

Xing C
(2024)
A General Matrix Variable Optimization Framework for MIMO Assisted Wireless Communications
in IEEE Transactions on Vehicular Technology

Bin Hu
(2008)
Time- and Frequency-Domain-Spread Generalized Multicarrier DS-CDMA Using Subspace-Based Blind and Group-Blind Space-Time Multiuser Detection
in IEEE Transactions on Vehicular Technology

SeungHwan Won
(2008)
Analysis of Serial-Search-Based Code Acquisition in the Multiple-Transmit/Multiple-Receive-Antenna-Aided DS-CDMA Downlink
in IEEE Transactions on Vehicular Technology

Ni S
(2007)
Adaptive Beamforming and Adaptive Modulation-Assisted Network Performance of Multiuser Detection-Aided FDD and TDD CDMA Systems
in IEEE Transactions on Vehicular Technology

Sui Z
(2021)
Approximate Message Passing Algorithms for Low Complexity OFDM-IM Detection
in IEEE Transactions on Vehicular Technology

Liew T
(2006)
Space-Time Trellis and Space-Time Block Coding Versus Adaptive Modulation and Coding Aided OFDM for Wideband Channels
in IEEE Transactions on Vehicular Technology

Ahmed S
(2008)
Mellin-Transform-Based Performance Analysis of FFH $M$ -ary FSK Using Product Combining for Combatting Partial-Band Noise Jamming
in IEEE Transactions on Vehicular Technology

Wei H
(2006)
Downlink Space-Time Spreading Using Interference Rejection Codes
in IEEE Transactions on Vehicular Technology

R Zhang
(2009)
Decentralised High-Throughput Non-Orthogonal Interleaved Random Space-Time Coding for Multi-Source Cooperation
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 |