NDLI: Feed back load analysis for broadcast channels with zero-forcing beamforming

Content Provider	IET Digital Library
Author	Pan, Peisheng Zheng, Baoyu Song, Rongfang Ni, Wei
Abstract	Multiuser multiple-input–multiple-output (MIMO) has great potential to substantially improve throughput of wireless networks. Unfortunately, it requires a significant amount of feed back for user selection, which prevents practical implementation. The authors propose a feed back reduced downlink multiuser MIMO system, where a signal-to-interference-plus-noise ratio (SINR) threshold is carefully designed. Only the users whose SINRs are above the threshold feed back their SINRs and channel direction information (CDI) to the base station. They establish a monotonic relation between the threshold and the average feed back overhead. Based on the established relation, they design the threshold that balances the tradeoff between the feed back load and the sum rate. Simulation results show that the proposed approach can achieve the same performance as the conventional full-feed back scheme (where every user feeds back its SINR and CDI), while the proposed approach is able to reduce the system overhead by more than 40%.
Starting Page	3326
Ending Page	3332
Page Count	7
ISSN	17518628
Volume Number	8
e-ISSN	17518636
Issue Number	Issue 18, Dec (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/8/18
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2013.0914
Journal	IET Communications
Publisher Date	2014-12-18
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Array Signal Processing Broadcast Channel CDI Channel Direction Information Downlink Multiuser MIMO System Feedback Feedback Load Analysis MIMO Communication Multiple-input Multiple-output Multiuser Channel Radio Link And Equipment Signal Processing And Detection Signal-to-interference-plus-noise Ratio SINR Threshold User Selection Wireless Network Zero-forcing Beamforming
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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