JOURNAL ARTICLE

SINR Feedback-Based Integrated Base-Station Assignment, Diversity, and Power Control for Wireless Networks

Jui Teng Wang

Year: 2009 Journal:   IEEE Transactions on Vehicular Technology Vol: 59 (1)Pages: 473-484   Publisher: Institute of Electrical and Electronics Engineers

Abstract

In this paper, we study integrated base-station assignment, diversity, and power control (IBDP) and show that the optimal base-station assignment and the optimal feasible power can be obtained by solving a set of equations. A signal-to-interference-and-noise ratio (SINR) feedback-based algorithm, which is not limited by the initial base-station assignment and can meet the power constraint at all times, is proposed to solve this set of equations in a distributed manner. It is proven that the proposed algorithm can converge to the optimal base-station assignment and the optimal feasible power, which result in the maximal probability of feasibility and the minimal power consumption. In addition, it is shown that the proposed algorithm consumes less computational complexity than the previous algorithm. In addition, we further propose the rate control algorithm that works with the SINR feedback-based algorithm to satisfy the throughput requirement.

Keywords:
Base station Power control Mathematical optimization Wireless Computer science Signal-to-noise ratio (imaging) Constraint (computer-aided design) Power (physics) Computational complexity theory Set (abstract data type) Wireless network Signal-to-interference-plus-noise ratio Interference (communication) Diversity combining Algorithm Mathematics Fading Computer network Decoding methods Telecommunications

Metrics

22
Cited By
2.06
FWCI (Field Weighted Citation Impact)
14
Refs
0.90
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
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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