NDLI: Coordinated multicell beamforming for massive multiple-input multiple-output systems based on uplink

Content Provider	IET Digital Library
Author	He, Shiwen Huang, Yongming Shi, Yanru Qi, Chenhao Jin, Shi Yang, Luxi
Abstract	This paper studies joint beamforming and power allocation for multicell multiuser multi-antenna systems with the objective of maximising the minimum signal-to-interference-plus-noise ratio (max–min SINR). The authors first consider developing an iterative algorithm to achieve the optimal performance by extending the uplink–downlink duality for finite-scale wireless communication systems. The solution is then generalised to achieve the asymptotically optimal multicell beamforming with the aim to reduce the overhead of signalling exchange between coordinated base stations based on large dimension random matrix theory. Based on that, an efficient multicell beamforming algorithm is proposed to asymptotically achieve the max–min SINR. To further solve the complexity issue of large dimensional matrix inversion involved in the calculation of beamforming vectors, they propose a low-complexity beamforming calculator based on truncated polynomial expansion approach. Numerical results validate the effectiveness of the authors’ proposed algorithms and show that they can achieve the optimal or asymptotically optimal performance in a massive multi-input multi-output system with low complexity and small backhaul overhead.
Starting Page	2380
Ending Page	2390
Page Count	11
ISSN	17518628
Volume Number	10
e-ISSN	17518636
Issue Number	Issue 17, Nov (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/10/17
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2015.1045
Journal	IET Communications
Publisher Date	2016-11-24
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Algebra Array Signal Processing Coordinated Multicell Beamforming Electromagnetic Compatibility Finite-scale Wireless Communication System Interference Iterative Algorithm Iterative Method Joint Beamforming Massive Multiple-input Multiple-output System Matrix Algebra MIMO Communication Multicell Multiuser Multiantenna System Multiuser Detection Power Allocation Radio Frequency Interference Radio Link And Equipment Random Matrix Theory Signal Detection Signal-to-interference-plus-noise Ratio SINR Telecommunication Signalling Uplink–downlink Duality
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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