JOURNAL ARTICLE

Robust multi-cell joint transmission beamforming based on uplink-downlink duality

Abstract

This paper considers robust beamforming design for coordinated multiple point joint transmission systems with imperfect channel state information at the base stations (BSs). A robust lower bound duality relation between the downlink max-min worst-case SINR optimization problem and the virtual uplink min-max worst-case SINR optimization problem is first revealed. Based on this, an iterative optimization method is then proposed using the subgradient theory to solve the virtual uplink problem, by which the solution to the downlink optimization problem is easily obtained. It is proved that the convergence of the proposed algorithm can be guaranteed with monotonic boundary sequence theorem and the subgradient theory. Numerical simulation verifies the effectiveness of the proposed method.

Keywords:
Telecommunications link Subgradient method Mathematical optimization Beamforming Computer science Optimization problem Duality (order theory) Base station Strong duality Transmission (telecommunications) Convergence (economics) Mathematics Computer network Telecommunications Discrete mathematics

Metrics

2
Cited By
0.41
FWCI (Field Weighted Citation Impact)
20
Refs
0.69
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Antenna Design and Optimization
Physical Sciences →  Engineering →  Aerospace Engineering
Millimeter-Wave Propagation and Modeling
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
© 2026 ScienceGate Book Chapters — All rights reserved.