A Data-Aided Channel Estimation Scheme for Decoupled Systems in Heterogeneous Networks

被引:10
|
作者
Liu, Wen [1 ]
Wong, Kai-Kit [2 ]
Jin, Shi [1 ]
You, Xiaohu [1 ]
机构
[1] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Jiangsu, Peoples R China
[2] UCL, Dept Elect & Elect Engn, London WC1E 7JE, England
基金
英国工程与自然科学研究理事会; 中国国家自然科学基金; 美国国家科学基金会;
关键词
Channel estimation; data-aided; decoupled system; heterogeneous network; massive MIMO; MASSIVE-MIMO; WIRELESS; DOWNLINK; SINR;
D O I
10.1109/TWC.2018.2834937
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Uplink/downlink (UL/DL) decoupling promises more flexible cell association and higher throughput in heterogeneous networks (HetNets), however, it hampers the acquisition of DL channel state information (CSI) in time-division-duplex systems due to different base stations (BSs) connected in UL/DL. In this paper, we propose a novel data-aided (DA) channel estimation scheme to address this problem by utilizing decoded UL data to exploit CSI from received UL data signal in decoupled HetNets where a massive multiple-input multiple-output BS and dense small cell BSs are deployed. We analytically estimate bit error ratio (BER) performance of UL decoded data, which are used to derive an approximated normalized mean square error (NMSE) expression of the DA minimum mean square error (MMSE) estimator. Compared with the conventional least square and MMSE, it is shown that NMSE performances of all estimators are determined by their signal-to-noise ratio (SNR)-like terms and there is an increment consisting of UL data power, UL data length, and BER values in the SNR-like term of DA method, which suggests DA method outperforms the conventional ones in any scenarios. Higher UL data power, longer UL data length, and better BER performance lead to more accurate estimated channels with DA method. Numerical results verify that the analytical BER and NMSE results are close to the simulated ones and a remarkable gain in both NMSE and DL rate can be achieved by DA method in multiple scenarios with different modulations.
引用
收藏
页码:4987 / 5000
页数:14
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