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
Liu W
(2007)
Joint channel prediction aided differentially encoded TTCM and BICMID assisted eigen-beamforming
in Electronics Letters
Maunder R
(2007)
Joint Iterative Decoding of Trellis-Based VQ and TCM
in IEEE Transactions on Wireless Communications
Wang K
(2022)
Joint Task Offloading and Caching for Massive MIMO-Aided Multi-Tier Computing Networks
in IEEE Transactions on Communications
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
Chen X
(2021)
Joint User Scheduling and Resource Allocation for Millimeter Wave Systems Relying on Adaptive-Resolution ADCs
in IEEE Transactions on Vehicular Technology
El-Hajjar M
(2007)
Layered steered space-time codes and their capacity
in Electronics Letters
Chen B
(2024)
Learning-Aided UAV-Cooperation Reduces the Age-of-Information in Wireless Networks
in IEEE Communications Letters
Zhu W
(2024)
Long-Term Rate-Fairness-Aware Beamforming Based Massive MIMO Systems
in IEEE Transactions on Communications
Xiang L
(2021)
Low Complexity Detection for Spatial Modulation Aided Sparse Code Division Multiple Access
in IEEE Transactions on Vehicular Technology
Chang H
(2021)
Low-Complexity Adaptive Optics Aided Orbital Angular Momentum Based Wireless Communications
in IEEE Transactions on Vehicular Technology
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
An J
(2022)
Low-Complexity Improved-Rate Generalised Spatial Modulation: Bit-to-Symbol Mapping, Detection and Performance Analysis
in IEEE Transactions on Vehicular Technology
Shi Q
(2022)
Low-Complexity Iterative Detection for Dual-Mode Index Modulation in Dispersive Nonlinear Satellite Channels
in IEEE Transactions on Communications
Li Q
(2024)
Low-Overhead Channel Estimation for RIS-Aided Multi-Cell Networks in the Presence of Phase Quantization Errors
in IEEE Transactions on Vehicular Technology
Zhang X
(2022)
Machine-Learning-Aided Optical OFDM for Intensity Modulated Direct Detection
in Journal of Lightwave Technology
Zhu W
(2024)
Max-Min Rate Optimization of Low-Complexity Hybrid Multi-User Beamforming Maintaining Rate-Fairness
in IEEE Transactions on Wireless Communications
Yu H
(2022)
Maximizing the Geometric Mean of User-Rates to Improve Rate-Fairness: Proper vs. Improper Gaussian Signaling
in IEEE Transactions on Wireless Communications
Chen S
(2006)
MBER Space-Time Decision Feedback Equalization Assisted Multiuser Detection for Multiple Antenna Aided SDMA Systems
in IEEE Transactions on Signal Processing
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
Hou T
(2022)
MIMO Assisted Networks Relying on Intelligent Reflective Surfaces: A Stochastic Geometry Based Analysis
in IEEE Transactions on Vehicular Technology
Xu K
(2021)
MIMO-Aided Nonlinear Hybrid Transceiver Design for Multiuser Mmwave Systems Relying on Tomlinson-Harashima Precoding
in IEEE Transactions on Vehicular Technology
Sheng Chen
(2006)
Minimum bit-error rate design for space-time equalization-based multiuser detection
in IEEE Transactions on Communications
Cui J
(2021)
Minimum-Delay Routing for Integrated Aeronautical Ad Hoc Networks Relying on Real Flight Data in the North-Atlantic Region
in IEEE Open Journal of Vehicular Technology
Xiang L
(2024)
Multi-Domain Polarization for Enhancing the Physical Layer Security of MIMO Systems
in IEEE Transactions on Communications
Gao X
(2023)
Multi-Objective Optimization of URLLC-Based Metaverse Services
in IEEE Transactions on Communications
Peng Z
(2022)
Multi-Pair Two-Way Massive MIMO DF Relaying Over Rician Fading Channels Under Imperfect CSI
in IEEE Wireless Communications Letters
Tee R
(2006)
Multilevel generalised low-density parity-check codes
in Electronics Letters
Bonello N
(2008)
Multilevel Structured Low-Density Parity-Check Codes
Zhou G
(2024)
Multiobjective Optimization of Space-Air-Ground-Integrated Network Slicing Relying on a Pair of Central and Distributed Learning Algorithms
in IEEE Internet of Things Journal
Yang L
(2006)
Multiuser Detection Assisted Time- and Frequency-Domain Spread Multicarrier Code-Division Multiple-Access
in IEEE Transactions on Vehicular Technology
Jiang M
(2007)
Multiuser MIMO-OFDM for Next-Generation Wireless Systems
in Proceedings of the IEEE
Jiang M
(2006)
Multiuser MIMO-OFDM systems using subcarrier hopping
in IEE Proceedings - 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
Hanzo L
(2007)
Near-Instantaneously Adaptive HSDPA-Style OFDM Versus MC-CDMA Transceivers for WIFI, WIMAX, and Next-Generation Cellular Systems
in Proceedings of the IEEE
Feng X
(2023)
Near-Instantaneously Adaptive Learning-Assisted and Compressed Sensing-Aided Joint Multi-Dimensional Index Modulation
in IEEE Open Journal of Vehicular Technology
Vanichchanunt P
(2006)
Noise Correlation-Aided Iterative Decoding for Magnetic Recording Channels
| 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 |