Weighted compressive sensing based uplink channel estimation for time division duplex massive multi‐input multi‐output systems-Reference-Cited by-同舟云学术

Weighted compressive sensing based uplink channel estimation for time division duplex massive multi‐input multi‐output systems

Published:2017-02 Issue:3 Volume:11 Page:355-361
ISSN:1751-8636
Container-title:IET Communications
language:en
Short-container-title:IET Communications

Author:

Nan Yang¹,Zhang Li²,Sun Xin¹

Affiliation:

1. School of Electrical and Information EngineeringBeijing Jiaotong UniversityBeijing100044People's Republic of China

2. School of Electronic and Electrical EngineeringUniversity of LeedsLeedsLS2 9JTUK

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-com.2016.0625

Reference21 articles.

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3. YanshaD.LifengW.MagedE.et al.: ‘K‐tier heterogeneous cellular networks with wireless power transfer’. 2016 IEEE Int. Conf. on Communications (ICC) Kuala Lumpur July2016 pp.1–6

4. Structured compressive sensing based superimposed pilot design in downlink large‐scale MIMO systems

5. Structured Compressive Channel Estimation for Large-Scale MISO-OFDM Systems

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