NDLI: Application of compressive sensing to limited feedback strategy in large-scale multiple-input single-output cellular networks

Content Provider	IET Digital Library
Author	Zhang, Zhiyu Teh, Kah Chan Li, Kwok Hung
Abstract	A novel limited feedback strategy based on a compressive sensing technique is proposed for the downlink large-scale multiple-input single-output (MISO) system. The effectiveness of transmit beamformers relies on the feedback quality of channel state information (CSI). The instantaneous CSI is compressed and sent back to the base station (BS) by receivers. An efficient recovery algorithm is applied at the BS in the presence of measurement noise and feedback link noise. The proposed feedback strategy can provide the BS with much more precise CSI as compared with some conventional vector quantisation schemes. The proposed scheme also has lower-computational complexity. Furthermore, the authors derive a tight lower bound on the user sum rate, assuming that zero-forcing beamforming is applied at the BS, and that active users are semi-orthogonal to each other. Numerical results show that the proposed compressive sensing-based limited feedback scheme yields better performance gain than the conventional channel quantisation approaches.
Starting Page	947
Ending Page	955
Page Count	9
ISSN	17518628
Volume Number	8
e-ISSN	17518636
Issue Number	Issue 6, Apr (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/8/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2013.0781
Journal	IET Communications
Publisher Date	2014-03-04
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Active User Array Signal Processing Base Station Cellular Network Cellular Radio Channel Quantisation Approach Channel State Information Compressed Sensing Compressive Sensing Technique Computational Complexity Downlink Large-scale Multiple-input Single-output System Feedback Link Noise Feedback Quality Feedback Strategy Instantaneous CSI Limited Feedback Strategy Measurement Error Measurement Noise Measurement Theory Measurement Uncertainty MIMO Communication MISO System Mobile Radio System Performance Gain Quantisation (signal) Recovery Algorithm Signal Processing And Detection Transmit Beamformer User Sum Rate Vector Quantisation Scheme Zero-forcing Beamforming
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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