Massive MIMO AF Relaying with Channel Estimation and Power Control Techniques

This paper investigates the performance of a massive multiple-input multiple-output relaying network where a group of single-antenna users communicate with a massive-antenna destination with the help of a multiple-antenna relay node. The transmission is performed based on a very simple amplify-and-forward relaying technique. To detect the signals transmitted from the users, the destination does not need to know all channels. It needs to know only the effective channel gains (the combined channel of the links from the users to the relay and the relay to the destination). Thus, we propose a channel estimation protocol at the destination where the pilot signals are first transmitted from the users to the relay, and then forwarded to the destination. The destination can estimate the effective channel gain from the received pilot signals, while the channel estimation overhead of the proposed scheme is independent of the number of destination antennas. A closed-form expression for the spectral efficiency with maximum-ratio-combining is derived. This closed-form expression enables us to suboptimally allocate power to each user and the relay to maximize the minimum of all user rates. We show that the power allocation can be solved through a sequence of geometric programs, and that the solution improves the system performance significantly.

[1]  Alister G. Burr,et al.  Enhanced Max-Min SINR for Uplink Cell-Free Massive MIMO Systems , 2018, 2018 IEEE International Conference on Communications (ICC).

[2]  Shi Jin,et al.  Multiuser Massive MIMO AF Relaying: Spectral Efficiency and Power Allocation , 2018, IEEE Access.

[3]  Shi Jin,et al.  Ergodic Rate Analysis for Multipair Massive MIMO Two-Way Relay Networks , 2015, IEEE Transactions on Wireless Communications.

[4]  Thomas L. Marzetta,et al.  Massive MIMO: An Introduction , 2015, Bell Labs Technical Journal.

[5]  Gayan Amarasuriya,et al.  Sum rate of massive MIMO downlink with simultaneous relayed and direct transmissions , 2017, 2017 IEEE International Conference on Communications (ICC).

[6]  Michail Matthaiou,et al.  Multi-way massive MIMO relay networks with maximum-ratio processing , 2017, 2017 International Conference on Recent Advances in Signal Processing, Telecommunications & Computing (SigTelCom).

[7]  Erik G. Larsson,et al.  Fundamentals of massive MIMO , 2016, SPAWC.

[8]  Gayan Amarasuriya,et al.  Multicell Multiway Massive MIMO Relay Networks , 2017, IEEE Transactions on Vehicular Technology.

[9]  Caijun Zhong,et al.  Multipair Massive MIMO Relaying Systems With One-Bit ADCs and DACs , 2017, IEEE Transactions on Signal Processing.

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

[11]  Michail Matthaiou,et al.  On the Performance of Zero-Forcing Processing in Multi-Way Massive MIMO Relay Networks , 2017, IEEE Communications Letters.

[12]  Erik G. Larsson,et al.  Cell-Free Massive MIMO Versus Small Cells , 2016, IEEE Transactions on Wireless Communications.

[13]  Erik G. Larsson,et al.  Multipair Full-Duplex Relaying With Massive Arrays and Linear Processing , 2014, IEEE Journal on Selected Areas in Communications.