Massive MIMO wireless networks: Theory and methods
Lead Research Organisation:
King's College London
Department Name: Informatics
Abstract
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Organisations
Publications
Akbar S
(2017)
Massive Multiuser MIMO in Heterogeneous Cellular Networks With Full Duplex Small Cells
in IEEE Transactions on Communications
Akbar S
(2016)
Simultaneous Wireless Information and Power Transfer in $K$ -Tier Heterogeneous Cellular Networks
in IEEE Transactions on Wireless Communications
Al-Kadri M
(2017)
Full-Duplex Small Cells for Next Generation Heterogeneous Cellular Networks: A Case Study of Outage and Rate Coverage Analysis
in IEEE Access
Deng Y
(2016)
Full-Duplex Spectrum Sharing in Cooperative Single Carrier Systems
in IEEE Transactions on Cognitive Communications and Networking
Deng Y
(2016)
Physical Layer Security in Three-Tier Wireless Sensor Networks: A Stochastic Geometry Approach
in IEEE Transactions on Information Forensics and Security
Deng, Yansha
(2015)
Safeguarding Massive MIMO Aided HetNets Using Physical Layer Security
Fan D
(2018)
Angle Domain Channel Estimation in Hybrid Millimeter Wave Massive MIMO Systems
in IEEE Transactions on Wireless Communications
Fan D
(2017)
Angle Domain Signal Processing-Aided Channel Estimation for Indoor 60-GHz TDD/FDD Massive MIMO Systems
in IEEE Journal on Selected Areas in Communications
Ma J
(2017)
Pattern Division for Massive MIMO Networks With Two-Stage Precoding
in IEEE Communications Letters
Wang L
(2016)
Secrecy and Energy Efficiency in Massive MIMO Aided Heterogeneous C-RAN: A New Look at Interference
in IEEE Journal of Selected Topics in Signal Processing
| Description | We exploited the the potential of physical layer security in massive multiple-input multiple-output (MIMO) aided two-tier heterogeneous networks (HetNets). We addressed the impact of massive MIMO on the maximum receive power based user association. We showed that the implementation of massive MIMO significantly improves the secrecy performance, which indicates that physical layer security could be a promising solution for safeguarding massive MIMO HetNets. In the second work of this project, We proposed cyclic prefix single carrier full-duplex transmission in amplify-and-forward cooperative spectrum sharing networks to achieve multipath diversity and full-duplex spectral efficiency. In the third work, we developed a tractable model for joint downlink (DL) and uplink (UL) transmission of K-tier heterogeneous cellular networks (HCNs) with simultaneous wireless information and power transfer (SWIPT) for efficient spectrum and energy utilization. In the fourth work, we developed channel estimation scheme for massive MIMO TDD and FDD system and overcome all the existing challenges in the massive-MIMO channel estimation such as pilot contamination, computational complexity, channel reciprocity assumption etc. |
| Exploitation Route | These findings are useful for 5G wireless network developers where Massive MIMO would be the essential part. We planned to disseminate the research findings by arranging a workshop this year. |
| Sectors | Digital/Communication/Information Technologies (including Software),Education |
| Description | Massive-MIMO is one of the main technologies for the capacity enhancement in ''5G and beyond'' cellular networks. Our findings in this project have been disseminated in numerous top IEEE journals and IEEE Flagship conferences and attracted the interest of non-academic industries. More specifically, channel estimation in FDD Massive MIMO system is challenging and the industries are really interested in the potential solutions for this challenging problem. We developed a solution for this challenging problem by viewing this problem in angle domain. Our solution overcomes all the existing challenges in the massive-MIMO channel estimation such as pilot contamination, computational complexity, channel reciprocity assumption etc. Non-orthogonal multiple access (NOMA) is one of the potential multiple access schemes for 6G. We extended our work for NOMA enabled massive MIMO system as well. In summary, our findings of channel estimation in Massive MIMO system are highly useful and made non-academic industrial impact in the development of beyond 5G cellular networks. |
| First Year Of Impact | 2016 |
| Sector | Digital/Communication/Information Technologies (including Software),Education |
| Impact Types | Societal |