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Geometric mean decomposition based hybrid precoding for millimeter-wave massive MIMO
Tian Xie
, Linglong Dai
, Xinyu Gao
,
Muhammad Zeeshan Shakir
, Jianjun Li
School of Computing, Engineering and Physical Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
50
Citations (Scopus)
Overview
Fingerprint
Research output
(5)
Profiles
(1)
Prizes
(1)
Research output
Research output per year
2007
2007
2015
2016
2019
2021
2021
50
Citations
2
Conference contribution
2
Article
1
Chapter
Research output per year
Research output per year
2 results
Publication Year, Title
(descending)
Publication Year, Title
(ascending)
Title
Type
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Article
Search results
2019
Achievable rate of hybrid precoding for hardware impaired MIMO underground mine channel
Belaoura, W., Ghanem, K.,
Shakir, M. Z.
, Nedil, M. & Bousbia, H.,
4 Apr 2019
,
In:
Electronics Letters.
55
,
7
,
p. 425-426
2 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Hybrid Precoding
100%
Millimeter Wave
100%
Multiple-input multiple-output
100%
Achievable Rate
100%
Underground Mining
100%
2
Citations (Scopus)
209
Downloads (Pure)
2015
MmWave massive-MIMO-based wireless backhaul for the 5G ultra-dense network
Gao, Z., Dai, L., Mi, D., Wang, Z., Imran, M. A. &
Shakir, M. Z.
,
Oct 2015
,
In:
IEEE Wireless Communications Magazine.
22
,
5
,
p. 13-21
Research output
:
Contribution to journal
›
Article
›
peer-review
Wireless Backhaul
100%
MmWave MIMO
100%
5G Ultra-dense Networks
100%
Massive MIMO
100%
Millimeter Wave
100%
350
Citations (Scopus)