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
Won S
(2008)
Non-coherent and differentially coherent code acquisition in MIMO assisted DS-CDMA multi-path downlink scenarios
in IEEE Transactions on Wireless Communications
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
Alamri O
(2008)
Nonbinary LDPC-Coded Sphere-Packed Transmit Diversity
in IEEE Transactions on Vehicular Technology
Shuang Tan
(2008)
On Multi-User EXIT Chart Analysis Aided Turbo-Detected MBER Beamformer Designs
in IEEE Transactions on Wireless Communications
Bonello N
(2009)
On the Design of Pilot Symbol Assisted Codes
Soon Xin Ng
(2006)
On the MIMO Channel Capacity of Multidimensional Signal Sets
in IEEE Transactions on Vehicular Technology
Maunder R
(2008)
On the Performance and Complexity of Irregular Variable Length Codes for Near-Capacity Joint Source and Channel Coding
in IEEE Transactions on Wireless Communications
Hua Wei
(2006)
On the performance of band-limited asynchronous DS-CDMA over nakagami-m channels
in IEEE Transactions on Wireless Communications
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
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
Hua Wei
(2006)
On the uplink performance of LAS-CDMA
in IEEE Transactions on Wireless 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
Zhao L
(2021)
Open-Source Multi-Access Edge Computing for 6G: Opportunities and Challenges
in IEEE Access
Xu C
(2024)
Optical OTFS is Capable of Improving the Bandwidth-, Power- and Energy-Efficiency of Optical OFDM
in IEEE Transactions on Communications
Lee K
(2007)
Optimal Lattice-Reduction Aided Successive Interference Cancellation for MIMO Systems
in IEEE Transactions on Wireless Communications
Zhao L
(2022)
Optimization of the Power-to-Velocity Ratio in the Downlink of Vehicular Networks
in IEEE Transactions on Vehicular Technology
Wolfgang A
(2007)
Parallel interference cancellation based turbo space-time equalization in the SDMA uplink
in IEEE Transactions on Wireless Communications
Ma Y
(2021)
Parametric Bilinear Iterative Generalized Approximate Message Passing Reception of FTN Multi-Carrier Signaling
in IEEE Transactions on Communications
Guo B
(2024)
Pareto-Optimal Multi-Agent Cooperative Caching Relying on Multi-Policy Reinforcement Learning
in IEEE Internet of Things Journal
Mohamad H
(2006)
Performance limitation of subband adaptive equalisers
in Electronics Letters
Hoang T
(2024)
Physical Layer Authentication and Security Design in the Machine Learning Era
in IEEE Communications Surveys & Tutorials
Piao J
(2021)
Polar-Precoding: A Unitary Finite-Feedback Transmit Precoder for Polar-Coded MIMO Systems
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
Ahmed M
(2023)
Privacy-Preserving Distributed Beamformer Design Techniques for Correlated Parameter Estimation
in IEEE Sensors Journal
Tang Y
(2023)
Probabilistic Constellation Shaping for Molecular Communications
in IEEE Transactions on Communications
Y Akhtman
(2007)
Projection Approximation Subspace Tracking-Aided Channel Estimation for MIMO-OFDM
in IEEE Transactions on Wireless Communications
Xiong Y
(2022)
Quantum Error Mitigation Relying on Permutation Filtering
in IEEE Transactions on Communications
Wang Z
(2023)
Rapidly Converging Low-Complexity Iterative Transmit Precoders for Massive MIMO Downlink
in IEEE Transactions on Communications
Yu H
(2024)
Rate-Fairness-Aware Low Resolution RIS-Aided Multi-User OFDM Beamforming
in IEEE Transactions on Vehicular Technology
Li K
(2023)
Reconfigurable Intelligent Surface Aided Position and Orientation Estimation Based on Joint Beamforming With Limited Feedback
in IEEE Open Journal of the Communications Society
Xu C
(2022)
Reconfigurable Intelligent Surface Assisted Multi-Carrier Wireless Systems for Doubly Selective High-Mobility Ricean Channels
in IEEE Transactions on Vehicular Technology
Mu X
(2024)
Reconfigurable Intelligent Surface-Aided Near-Field Communications for 6G: Opportunities and Challenges
in IEEE Vehicular Technology Magazine
Feng X
(2023)
Reduced Complexity Learning-Assisted Joint Channel Estimation and Detection of Compressed Sensing-Aided Multi-Dimensional Index Modulation
in IEEE Open Journal of Vehicular Technology
Wolfgang A
(2007)
Reduced-Complexity Near-Maximum-Likelihood Detection for Decision Feedback Assisted Space-Time Equalization
in IEEE Transactions on Wireless Communications
Nasir A
(2022)
Relay-Aided Multi-User OFDM Relying on Joint Wireless Power Transfer and Self-Interference Recycling
in IEEE Transactions on Communications
Hoang T
(2022)
RIS-Aided AANETs: Security Maximization Relying on Unsupervised Projection-Based Neural Networks
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
Tuan H
(2024)
RIS-Aided Multiple-Input Multiple-Output Broadcast Channel Capacity
in IEEE Transactions on Communications
Ragheb M
(2024)
RIS-Aided Secure Millimeter-Wave Communication Under RF-Chain Impairments
in IEEE Transactions on Vehicular Technology
Rajput K
(2023)
Robust Finite-Resolution Transceivers for Decentralized Estimation in Energy-Harvesting-Aided IoT Networks
in IEEE Sensors Journal
Chen S
(2008)
Semi-Blind Adaptive Spatial Equalization for MIMO Systems with High-Order QAM Signalling
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 |