Unlocking Potentials of MIMO Full-duplex Radios for Heterogeneous Networks (UPFRONT)
Lead Research Organisation:
Loughborough University
Department Name: Wolfson Sch of Mech, Elec & Manufac Eng
Abstract
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Organisations
Publications
Khan A
(2019)
Network-Coded NOMA With Antenna Selection for the Support of Two Heterogeneous Groups of Users
in IEEE Transactions on Wireless Communications
Sun Y
(2022)
RIS-Assisted Robust Hybrid Beamforming Against Simultaneous Jamming and Eavesdropping Attacks
in IEEE Transactions on Wireless Communications
You M
(2021)
Delay Guaranteed Joint User Association and Channel Allocation for Fog Radio Access Networks
in IEEE Transactions on Wireless Communications
Zhang J
(2020)
Deep Learning Enabled Optimization of Downlink Beamforming Under Per-Antenna Power Constraints: Algorithms and Experimental Demonstration
in IEEE Transactions on Wireless Communications
Shojaeifard A
(2018)
Full-Duplex Cloud Radio Access Network: Stochastic Design and Analysis
in IEEE Transactions on Wireless Communications
Zhu Y
(2017)
Secure Communications in Millimeter Wave Ad Hoc Networks
in IEEE Transactions on Wireless Communications
Zhang J
(2022)
Embedding Model-Based Fast Meta Learning for Downlink Beamforming Adaptation
in IEEE Transactions on Wireless Communications
Yu D
(2024)
Kalman Filter Based Channel Tracking for RIS-Assisted Multi-User Networks
in IEEE Transactions on Wireless Communications
Khandaker M
(2017)
Truth-Telling Mechanism for Two-Way Relay Selection for Secrecy Communications With Energy-Harvesting Revenue
in IEEE Transactions on Wireless Communications
Yuan Y
(2021)
Transfer Learning and Meta Learning-Based Fast Downlink Beamforming Adaptation
in IEEE Transactions on Wireless Communications
Liang K
(2019)
Non-Uniform Deployment of Power Beacons in Wireless Powered Communication Networks
in IEEE Transactions on Wireless Communications
Xia W
(2020)
Model-Driven Beamforming Neural Networks
in IEEE Wireless Communications
Shi L
(2021)
Computational EE Fairness in Backscatter-Assisted Wireless Powered MEC Networks
in IEEE Wireless Communications Letters
Chen T
(2020)
Blockchain Secured Auction-Based User Offloading in Heterogeneous Wireless Networks
in IEEE Wireless Communications Letters
Shi S
(2018)
Optimal Power Control in Cognitive Satellite Terrestrial Networks With Imperfect Channel State Information
in IEEE Wireless Communications Letters
Zhang L
(2022)
A Hybrid Training-Time and Run-Time Defense Against Adversarial Attacks in Modulation Classification
in IEEE Wireless Communications Letters
Zhang L
(2021)
Countermeasures Against Adversarial Examples in Radio Signal Classification
in IEEE Wireless Communications Letters
Okandeji A
(2018)
Secure Full-Duplex Two-Way Relaying for SWIPT
in IEEE Wireless Communications Letters
Guo K
(2018)
Outage Analysis of Cognitive Hybrid Satellite-Terrestrial Networks With Hardware Impairments and Multi-Primary Users
in IEEE Wireless Communications Letters
Khan A
(2020)
Random linear network coding based physical layer security for relay-aided device-to-device communication
in IET Communications
Deo P
(2020)
Full-duplex radio with two receivers for self-interference cancellation
in IET Microwaves, Antennas & Propagation
Bsebsu A
(2020)
Joint beamforming and admission control for cache-enabled Cloud-RAN with limited fronthaul capacity
in IET Signal Processing
Psomas C
(2022)
Design and Analysis of SWIPT With Safety Constraints
in Proceedings of the IEEE
Shi S
(2017)
Energy-Efficient Optimal Power Allocation in Integrated Wireless Sensor and Cognitive Satellite Terrestrial Networks.
in Sensors (Basel, Switzerland)
4. A. Shojaeifard
(2018)
Full-Duplex versus Half-Duplex Large Scale Antenna System
Shojaeifard A
(2017)
Self-Interference in Full-Duplex Multi-User MIMO Channels
Okandeji A
(2017)
Secure Full-Duplex Two-Way Relaying for SWIPT
A. Shojaeifard
(2018)
Full-Duplex Enabled Cloud Radio Access Network
Zhang J
(2021)
Fast Meta Learning for Adaptive Beamforming
Psomas C
(2021)
Design and Analysis of SWIPT with Safety Constraints
| Description | We have made several findings regarding self-interference cancellation and performance of full-duplex cellular networks. These findings includes 1). For SIC, we have investigated the design, isolation, and radiation pattern performance of coaxially fed orthogonally polarized broadband dual rectangular spiral antenna configurations for in-band full duplex communications. We found that at the operating frequency 3.2 GHz within a 60 MHz bandwidth, a very high SIC isolation of 45 dB can be achieved. 2) We provide a theoretical framework for the study of massive multiple-input multiple-output (MIMO)-enabled full-duplex (FD) cellular networks in which the residual self-interference (SI) channels follow the Rician distribution for both uplink (UL) and downlink (DL). The results indicate that the UL rate bottleneck in the FD baseline single-input single-output system can be overcome via exploiting massive MIMO. 3) We recently investigate the optimization of uplink (UL) channel state information (CSI) training in the FD based multiuser MIMO systems. Our results show that the performance of the proposed UL training outperforms the fixed length training and the traditional half-duplex training and it closely matches the performance with an exhaustive search. |
| Exploitation Route | 1) The first finding provides a detailed guideline for the choice of the SIC scheme depending on the bandwidth used. 2) The findings from our performance analysis may be viewed as a reality-check, since we show that, under state-of-the-art system parameters, the spectral efficiency gain of FD massive MIMO over its half-duplex counterpart is largely limited by the cross-mode interference between the DL and the UL. The anticipated twofold increase in SE is shown to be only achievable when the number of antennas tends to be infinitely large. 3) We also investigated the benefit of FD in cloud radio access networks (C-RAN). Our results indicate that significant spectral efficiency gains can be achieved compared to the half duplex operation, particularly in the presence of sufficient-capacity fronthaul links and advanced interference cancellation capabilities. |
| Sectors | Digital/Communication/Information Technologies (including Software) |
| Description | AI-enabled Massive MIMO |
| Amount | £950,863 (GBP) |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 08/2020 |
| End | 08/2022 |
| Description | The Leverhulme Trust Research Grant |
| Amount | £199,163 (GBP) |
| Organisation | The Leverhulme Trust |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 03/2018 |
| End | 03/2021 |
| Description | Chaired a Workshop in IEEE SPAWC 2016 |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | Together with the lead PI, Prof. Wong, we organised a special session in IEEE International Workshop on Signal Processing Advances in Wireless Communications in Edinburgh, 2016. We solicited 5 high-quality submissions from top researchers in the area of full-duplex radios. The special session provided a useful venue to exchange ideas, and attracted a large number of audience who attended the conference. |
| Year(s) Of Engagement Activity | 2016 |
| Description | Giving a Thought Leadership talk at BT |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Industry/Business |
| Results and Impact | I was invited to give a Thought Leadership talk at BT's Adastral Park in July 2023 on deep learning for communications networks, one of the research outcomes from this grant. It attracted about 30 engineers which sparked very interesting discussions on the use of deep learning for optimizing massive MIMO communications systems. This engagement has motivated further collaborative research with BT. |
| Year(s) Of Engagement Activity | 2023 |