HOW TO EXPLOIT MOBILITY TO MITIGATE PILOT CONTAMINATION?

To tackle the uplink pilot contamination problem in massive multiple-input multiple-output (MIMO) systems, current researches only relied on the angle of arrival at the base station. However, this information is insufficient when the users share the same scattering environment. In this paper, we propose a novel strategy by exploiting the user mobility. Due to limited scatterers around the users, we first investigate the channel sparsity and derive the corresponding angle-Doppler frequency domain channel power spectrum (AD-CPS). We then propose a method to mitigate the pilot contamination through aligning the AD-CPSs. Compared with the existing works, we further demonstrate the effectiveness of the proposed scheme in supporting more orthogonal pilots when the interfering users exhibit different moving patterns. Simulations verify the superior performance and show that the proposed scheme can serve as an additional decontamination mechanism for the UL pilots in massive MIMO systems.

[1]  Giuseppe Caire,et al.  Joint Spatial Division and Multiplexing—The Large-Scale Array Regime , 2013, IEEE Transactions on Information Theory.

[2]  Chenyang Yang,et al.  Pilot Decontamination in Wideband Massive MIMO Systems by Exploiting Channel Sparsity , 2016, IEEE Transactions on Wireless Communications.

[3]  Geoffrey Ye Li,et al.  An Overview of Massive MIMO: Benefits and Challenges , 2014, IEEE Journal of Selected Topics in Signal Processing.

[4]  Xiliang Luo,et al.  Aligning Power in Multiple Domains for Pilot Decontamination in Massive MIMO , 2017, IEEE Transactions on Wireless Communications.

[5]  Hai Lin,et al.  Time Varying Channel Tracking With Spatial and Temporal BEM for Massive MIMO Systems , 2018, IEEE Transactions on Wireless Communications.

[6]  Henk Wymeersch,et al.  Location-Aided Pilot Contamination Avoidance for Massive MIMO Systems , 2016, IEEE Transactions on Wireless Communications.

[7]  Xiqi Gao,et al.  Channel Acquisition for Massive MIMO-OFDM With Adjustable Phase Shift Pilots , 2015, IEEE Transactions on Signal Processing.

[8]  Lajos Hanzo,et al.  Optimal Pilot Design for Pilot Contamination Elimination/Reduction in Large-Scale Multiple-Antenna Aided OFDM Systems , 2016, IEEE Transactions on Wireless Communications.

[9]  Xiaoyu Zhang,et al.  Flexible Pilot Contamination Mitigation With Doppler PSD Alignment , 2016, IEEE Signal Processing Letters.

[10]  Sailes K. Sengijpta Fundamentals of Statistical Signal Processing: Estimation Theory , 1995 .

[11]  David Gesbert,et al.  Dealing With Interference in Distributed Large-Scale MIMO Systems: A Statistical Approach , 2014, IEEE Journal of Selected Topics in Signal Processing.