JOURNAL ARTICLE

User Selection and Resource Allocation for Multi-User MIMO-OFDM Systems with Downlink Beamforming

Abstract

In this paper, a multi-user MIMO-OFDM system with downlink beamforming technique is considered. We aim at minimizing the total transmission power while fulfilling each user's data rate and bit error rate (BER) requirement. This problem is formulated as a linear optimization problem in our paper. Since the optimal solution obtained from integer programming (IP) approach can hardly be implemented due to its high computational complexity, we present a heuristic user selection and resource allocation algorithm. Simulation results show that compared with existing SDMA-OFDM systems with or without resource allocation, our algorithm achieves significant performance improvement. The performance of the proposed heuristic algorithm is very close to that of the optimal solution.

Keywords:
Computer science Telecommunications link Beamforming Orthogonal frequency-division multiplexing Resource allocation Heuristic MIMO Mathematical optimization Bit error rate Integer programming Selection (genetic algorithm) Computational complexity theory Multi-user Optimization problem Resource management (computing) Transmission (telecommunications) Computer engineering Algorithm Distributed computing Computer network Telecommunications Decoding methods Mathematics Channel (broadcasting)

Metrics

5
Cited By
0.00
FWCI (Field Weighted Citation Impact)
10
Refs
0.10
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Wireless Network Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Wireless Communication Networks Research
Physical Sciences →  Computer Science →  Computer Networks and Communications
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