Multi-Pair Two-Way Relay Network with Harvest-Then-Transmit Users: Resolving Pairwise Uplink-Downlink Coupling
Shuai Wang, Minghua Xia, Yik-Chung Wu

TL;DR
This paper addresses the complex uplink-downlink coupling in multi-pair two-way relay networks with harvest-then-transmit, proposing optimal and iterative algorithms to minimize total transmit power while managing interference and power imbalance.
Contribution
It introduces a novel joint uplink-downlink network design framework for multi-pair harvest-then-transmit relay systems, including an optimal solution for one pair and an iterative algorithm for multiple pairs.
Findings
The optimal solution for a single pair case is derived.
The iterative algorithm converges and approaches the lower bound of power consumption.
Numerical results demonstrate near-optimal power efficiency of the proposed method.
Abstract
While two-way relaying is a promising way to enhance the spectral efficiency of wireless networks, the imbalance of relay-user distances may lead to excessive wireless power at the nearby-users. To exploit the excessive power, the recently proposed harvest-then-transmit technique can be applied. However, it is well-known that harvest-then-transmit introduces uplink-downlink coupling for a user. Together with the co-dependent relationship between paired users and interference among multiple user pairs, wirelessly powered two-way relay network suffers from the unique pairwise uplink-downlink coupling, and the joint uplink-downlink network design is nontrivial. To this end, for the one pair users case, we show that a global optimal solution can be obtained. For the general case of multi-pair users, based on the rank-constrained difference of convex program, a convergence guaranteed…
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