A Very-Low Pilot Scheme for mmWave Hybrid Massive MIMO-OFDM Systems

被引:5
|
作者
Han, Fengxia [1 ]
Wang, Xiaodong [2 ]
Deng, Hao [1 ]
机构
[1] Tongji Univ, Sch Software Engn, Shanghai 201804, Peoples R China
[2] Columbia Univ, Dept Elect Engn, New York, NY 10027 USA
关键词
Channel estimation; OFDM; Uplink; Training; Sparse matrices; Radio frequency; Payloads; Hybrid massive MIMO; mmWave; semi-blind detection; low-rank matrix completion; compressed-sensing;
D O I
10.1109/LWC.2021.3092073
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To reduce the large training overhead required by a millimeter-wave (mmWave) massive MIMO system, this letter proposes a pilot placement scheme and the corresponding receiver technique for multi-user uplink channel estimation and data detection over frequency-selective fading channels when OFDM is employed. Specifically, a small group of subcarriers transmit a small segment of pilots followed by data payloads; and all other subcarriers transmit data payloads only. To recover all channels and payload data, the basic idea is that for pilot subcarriers, a semi-blind method is employed for channel estimation and data detection based on low-rank matrix completion; while for the non-pilot subcarriers, the sparsity of mmWave channels in the delay-domain is exploited, based on which the channel estimation can be solved using the compressed-sensing (CS) technique. Simulation results show that significant performance gains can be achieved by our proposed scheme with very low pilot overhead.
引用
收藏
页码:2061 / 2064
页数:4
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