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
Hong Xing
(2015)
To Harvest and Jam: A Paradigm of Self-Sustaining Friendly Jammers for Secure AF Relaying
in IEEE Transactions on Signal Processing
Related Projects
| Project Reference | Relationship | Related To | Start | End | Award Value |
|---|---|---|---|---|---|
| EP/M016145/1 | 30/04/2015 | 30/08/2017 | £292,948 | ||
| EP/M016145/2 | Transfer | EP/M016145/1 | 31/08/2017 | 30/10/2018 | £72,290 |
| 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 | Millimeter Wave 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, we developed a novel direction of arrival (DOA)-aided channel estimation for hybrid millimeter wave (mmWave) massive MIMO system with the uniform planar array (UPA) at base station (BS). To explore the physical characteristics of antenna array in mmWave systems, the parameters of each channel path are decomposed into the DOA information and the channel gain information. We first estimate the initial DOAs of each uplink path through the two dimensional discrete Fourier transform (2D-DFT), and enhance the estimation accuracy via the angle rotation technique. We then estimate the channel gain information using small amount of training resources, which significantly reduces the training overhead and the feedback cost. Industries are now exploring millimeter wave band of 30-300 GHz for 6G. Hence, our findings of channel estimation in Millimeter Wave Massive MIMO system are highly useful and made non-academic industrial impact in the development of next generation 6G cellular networks. Based on the research findings of this project, we developed robust resource optimization schemes for intelligent reflecting surface (IRS) enabled communications which have high impact on the development of 6G wireless systems as IRS is one of the promising technology in 6G wireless systems. |
| First Year Of Impact | 2016 |
| Sector | Digital/Communication/Information Technologies (including Software),Education |
| Impact Types | Societal |