In-Relay Power Allocation for Multi-Pair Full-duplex Massive-MIMO AF Relay Network

In-Relay Power Allocation for Multi-Pair Full-duplex Massive-MIMO AF Relay Network

In this paper, a multi-pair two-way full-duplex relay network is investigated, in which multiple pairs of full-duplex single antenna users are served via a full-duplex amplify-forward (AF) multi-antenna relay. The relay uses zero forcing (ZF) beamforming in both reception and transmission. Therefore, the inter-stream interference of users in reception and transmission are canceled out completely. An inter-stream power allocation algorithm is proposed for the relay node. The in-relay power allocation algorithm is obtained by solving an optimization problem using an iterative algorithm with Mean Square Error (MSE) criterion under relay output power constraint. A suboptimal closed-form solution for this problem is also obtained. The performance of the proposed optimal and suboptimal in-relay power allocation schemes are investigated using Monte-Carlo simulation and compared with the so-called in-user power allocation. The simulation results shows a very small difference between the suboptimal and optimal algorithms and a superiority of both in-relay algorithms over the in-user algorithm.

In this paper, a multi-pair two-way full-duplex relay network is investigated, in which multiple pairs of full-duplex single antenna users are served via a full-duplex amplify-forward (AF) multi-antenna relay. The relay uses zero forcing (ZF) beamforming in both reception and transmission. Therefore, the inter-stream interference of users in reception and transmission are canceled out completely. An inter-stream power allocation algorithm is proposed for the relay node. The in-relay power allocation algorithm is obtained by solving an optimization problem using an iterative algorithm with Mean Square Error (MSE) criterion under relay output power constraint. A suboptimal closed-form solution for this problem is also obtained. The performance of the proposed optimal and suboptimal in-relay power allocation schemes are investigated using Monte-Carlo simulation and compared with the so-called in-user power allocation. The simulation results shows a very small difference between the suboptimal and optimal algorithms and a superiority of both in-relay algorithms over the in-user algorithm.