Adaptive Pilot Allocation for Multi-Cell Massive MIMO Systems

In the upcoming 5G system, the massive MIMO technology will perform an important role in significantly improving the system performance. To sufficiently exploit the potential of massive MIMO, the transceiver should perform appropriate accurate channel estimation, including carefully designed quantities of pilot resource and its allocation among different users. In this letter, a low-complexity adaptive pilot allocation algorithm using the second-order channel statistics of all users is proposed, which helps in finding a good balance between the allocated pilot length and pilot training interference. Numerical results indicate that the proposed algorithm can significantly improve the net spectrum efficiency in multi-cell massive MIMO systems.

[1]  Trinh Van Chien,et al.  A Successive Optimization Approach to Pilot Design for Multi-Cell Massive MIMO Systems , 2018, IEEE Communications Letters.

[2]  Giuseppe Caire,et al.  Joint Spatial Division and Multiplexing: Opportunistic Beamforming, User Grouping and Simplified Downlink Scheduling , 2014, IEEE Journal of Selected Topics in Signal Processing.

[3]  Thomas L. Marzetta,et al.  Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas , 2010, IEEE Transactions on Wireless Communications.

[4]  Emil Björnson,et al.  Massive MIMO for Maximal Spectral Efficiency: How Many Users and Pilots Should Be Allocated? , 2014, IEEE Transactions on Wireless Communications.

[5]  Xiang-Gen Xia,et al.  Pilot Reuse for Massive MIMO Transmission over Spatially Correlated Rayleigh Fading Channels , 2015, IEEE Transactions on Wireless Communications.

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

[7]  Limin Xiao,et al.  Increasing the Sum-Throughput of Cells With a Sectorization Method for Massive MIMO , 2014, IEEE Communications Letters.

[8]  Erik G. Larsson,et al.  Massive MIMO for next generation wireless systems , 2013, IEEE Communications Magazine.

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

[10]  Eleftherios Karipidis,et al.  Mitigating Pilot Contamination by Pilot Reuse and Power Control Schemes for Massive MIMO Systems , 2015, 2015 IEEE 81st Vehicular Technology Conference (VTC Spring).

[11]  Joseph M. Kahn,et al.  Fading correlation and its effect on the capacity of multielement antenna systems , 2000, IEEE Trans. Commun..

[12]  Erik G. Larsson,et al.  Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays , 2012, IEEE Signal Process. Mag..

[13]  Trinh Van Chien,et al.  Power Control in Cellular Massive MIMO With Varying User Activity: A Deep Learning Solution , 2019, IEEE Transactions on Wireless Communications.

[14]  Zhisheng Niu,et al.  Toward dynamic energy-efficient operation of cellular network infrastructure , 2011, IEEE Communications Magazine.

[15]  Mérouane Debbah,et al.  Massive MIMO in the UL/DL of Cellular Networks: How Many Antennas Do We Need? , 2013, IEEE Journal on Selected Areas in Communications.

[16]  David Gesbert,et al.  A Coordinated Approach to Channel Estimation in Large-Scale Multiple-Antenna Systems , 2012, IEEE Journal on Selected Areas in Communications.

[17]  Babak Hassibi,et al.  How much training is needed in multiple-antenna wireless links? , 2003, IEEE Trans. Inf. Theory.