JOURNAL ARTICLE

Downlink beamforming and power control with per-antenna power constraints

Abstract

We study a system where a base station (BS) with an antenna array serves multiple users. Each user has a single antenna. Due to practical limitations, each antenna of the BS has an individual power constraint. Assume that only long-term channel state information (CSI) is available. The objective is to minimize the downlink transmission power under the users' signal-to-interference-plus-noise ratio (SINR) constraints and the per-antenna power constraints. Mathematically, the objective is to find the optimal solution of a non-convex optimization problem. With dual decomposition, the problem is decomposed into two levels. For the lower level problem, we propose a novel iterative method based on the theory of matrix pencils. For the higher level problem, we propose a subgradient method and prove its convergence. Assembling all the computation methods, we obtain a beamforming and power control algorithm. At last, numerical results are provided to illustrate the performance of the algorithm.

Keywords:
Beamforming Subgradient method Computer science Telecommunications link Mathematical optimization Base station Power control Channel state information Optimization problem Antenna (radio) Convex optimization Antenna array Iterative method Power (physics) Algorithm Mathematics Wireless Telecommunications Regular polygon

Metrics

4
Cited By
1.47
FWCI (Field Weighted Citation Impact)
19
Refs
0.84
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Wireless Communication Networks Research
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Antenna Design and Analysis
Physical Sciences →  Engineering →  Aerospace Engineering

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