JOURNAL ARTICLE

Worst-case robust MIMO relay precoding in cognitive two-way relay networks

Abstract

In this paper, we investigate robust precoding for two-way relay cognitive networks consisting of a pair of cognitive transceiver users equipped with Multiple Input Multiple Output (MIMO) antenna communicating with each other through a common multi-antenna relay and sharing the same spectrum with primary users (PU). The uncertainty set in this CSI model is defined as Norm Bounded Error (NBE) model. We consider the Mean Squared Error (MSE) constraint at two secondary users (SU) and Interference Temperature (IT) at PU receiver that minimize the relay transmit power under multi CSI errors. We combine the semi-definite items and then transform the non-convex robust precoding problem into a Semidefinite Programming (SDP). This problem is solved efficiently using the numerical solver package CVX. Simulation results show the superior performance of proposed robust precoding design.

Keywords:
Precoding Relay MIMO Computer science Semidefinite programming Cognitive radio Zero-forcing precoding Transmitter power output Robustness (evolution) Convex optimization Mathematical optimization Algorithm Beamforming Mathematics Regular polygon Telecommunications Power (physics) Transmitter Wireless

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
14
Refs
0.04
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

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