JOURNAL ARTICLE

Achievable Rate Regions for Two-Way MIMO AF Multiple-Relay Channels

Abstract

This paper investigates the achievable rate region of two-way amplify-and-forward (AF) relaying systems with multiple relays, where all nodes are equipped with multiple antennas. First, we find linear processing filters to optimize the weighted sum-rate for the two-way channels with sum power constraints. The proposed algorithm achieves the maximum weighted sum-rate by deriving the gradient expressions and iteratively applying the gradient descent method. Consequently, the proposed scheme outperforms the conventional methods in terms of the weighted sum-rate. Also, the achievable rate region is obtained by adjusting the weights in the proposed algorithm. It is observed from the ergodic rate region that channel reciprocity can improve the achievable sum-rate in two-way relay systems unlike one-way channels.

Keywords:
Relay MIMO Ergodic theory Computer science Channel (broadcasting) Gradient descent Algorithm Outage probability Power (physics) Topology (electrical circuits) Control theory (sociology) Mathematical optimization Mathematics Fading Telecommunications Artificial neural network

Metrics

5
Cited By
1.10
FWCI (Field Weighted Citation Impact)
21
Refs
0.80
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
Full-Duplex Wireless Communications
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Wireless Communication Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
© 2026 ScienceGate Book Chapters — All rights reserved.