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
Saxena S
(2023)
Sparse Channel Estimation for Visible Light Optical OFDM Systems Relying on Bayesian Learning
in IEEE Open Journal of the Communications Society
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
Shan C
(2023)
Energy-Efficient Time-Modulated Beam-Forming for Joint Communication-Radar Systems
in IEEE Transactions on Green Communications and Networking
Shen L
(2024)
D-STAR: Dual Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surfaces for Joint Uplink/Downlink Transmission
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
Shi Q
(2022)
Low-Complexity Iterative Detection for Dual-Mode Index Modulation in Dispersive Nonlinear Satellite Channels
in IEEE Transactions on Communications
Shuang Tan
(2008)
Iterative Multiuser Minimum Symbol Error Rate Beamforming Aided QAM Receiver
in IEEE Signal Processing Letters
Shuang Tan
(2008)
On Multi-User EXIT Chart Analysis Aided Turbo-Detected MBER Beamformer Designs
in IEEE Transactions on Wireless Communications
Shuang Tan
(2008)
Three-Stage Turbo MBER Multiuser Beamforming Receiver Using Irregular Convolutional Codes
in IEEE Transactions on Vehicular Technology
Singh J
(2023)
Energy Efficiency Optimization in Reconfigurable Intelligent Surface Aided Hybrid Multiuser mmWave MIMO Systems
in IEEE Open Journal of Vehicular Technology
Singh J
(2023)
Joint Transceiver and Reconfigurable Intelligent Surface Design for Multiuser mmWave MIMO Systems Relying on Non-Diagonal Phase Shift Matrices
in IEEE Open Journal of the Communications Society
Soon Xin Ng
(2006)
Burst-by-burst adaptive decision feedback equalized TCM, TTCM, and BICM for H.263-assisted wireless video telephony
in IEEE Transactions on Circuits and Systems for Video Technology
Soon Xin Ng
(2006)
On the MIMO Channel Capacity of Multidimensional Signal Sets
in IEEE Transactions on Vehicular Technology
Srinivasan M
(2021)
Airplane-Aided Integrated Next-Generation Networking
in IEEE Transactions on Vehicular Technology
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
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
Srivastava S
(2021)
Bayesian Learning Aided Sparse Channel Estimation for Orthogonal Time Frequency Space Modulated Systems
in IEEE Transactions on Vehicular Technology
Sui Z
(2023)
Space-Time Shift Keying Aided OTFS Modulation for Orthogonal Multiple Access
in IEEE Transactions on Communications
Sui Z
(2021)
Approximate Message Passing Algorithms for Low Complexity OFDM-IM Detection
in IEEE Transactions on Vehicular Technology
Tan S
(2023)
Communication-Assisted Multi-Agent Reinforcement Learning Improves Task-Offloading in UAV-Aided Edge-Computing Networks
in IEEE Wireless Communications Letters
Tang Y
(2023)
Probabilistic Constellation Shaping for Molecular Communications
in IEEE Transactions on Communications
Tee R
(2008)
Equivalent Capacity-Based Joint Multilevel Coding and Space-Time Transmit Diversity Design
in IEEE Transactions on Vehicular Technology
Tee R
(2006)
Multilevel generalised low-density parity-check codes
in Electronics Letters
Tuan H
(2024)
RIS-Aided Multiple-Input Multiple-Output Broadcast Channel Capacity
in IEEE Transactions on Communications
Van Luong T
(2022)
Deep Learning-Aided Optical IM/DD OFDM Approaches the Throughput of RF-OFDM
in IEEE Journal on Selected Areas in Communications
Vanichchanunt P
(2006)
Noise Correlation-Aided Iterative Decoding for Magnetic Recording Channels
Wang J
(2022)
Unsourced Massive Random Access Scheme Exploiting Reed-Muller Sequences
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
Wang L
(2008)
Generic iterative search-centre-shifting K-best sphere detection for rank-deficient SDM-OFDM systems
in Electronics Letters
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
Wang Z
(2023)
Rapidly Converging Low-Complexity Iterative Transmit Precoders for Massive MIMO Downlink
in IEEE Transactions on Communications
Wei H
(2006)
Downlink Space-Time Spreading Using Interference Rejection Codes
in IEEE Transactions on Vehicular Technology
Winter S
(2024)
A Lattice-Reduction Aided Vector Perturbation Precoder Relying on Quantum Annealing
in IEEE Wireless Communications Letters
Wolfgang A
(2007)
Reduced-Complexity Near-Maximum-Likelihood Detection for Decision Feedback Assisted Space-Time Equalization
in IEEE Transactions on Wireless Communications
Wolfgang A
(2007)
Parallel interference cancellation based turbo space-time equalization in the SDMA uplink
in IEEE Transactions on Wireless Communications
Wolfgang A
(2006)
Iterative MIMO Detection for Rank-Deficient Systems
in IEEE Signal Processing Letters
Won S
(2007)
Differentially coherent code acquisition in the MIMO-aided multi-carrier DS-CDMA downlink
in IET Communications
Won S
(2008)
Iterative code acquisition for DS-UWB downlink using multiple-component decoders
in Electronics Letters
Won S
(2007)
Non-Coherent Code Acquisition in the Multiple Transmit/Multiple Receive Antenna Aided Single- and Multi-Carrier DS-CDMA Downlink
in IEEE Transactions on Wireless Communications
| 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 |