JOURNAL ARTICLE

Downlink resource allocation for multi-user MIMO-OFDMA systems: The Kalai-Smorodinsky bargaining approach

Abstract

Multi-user MIMO-OFDMA is regarded as an important technology for increasing the flexibility and efficiency of wireless communication systems. A well-behaved resource allocation strategy is crucial for the performance of such systems. In this paper, we study the allocation problem from a cooperative game theory perspective and present two algorithms to find the Kalai-Smorodinsky bargaining solution to the problem. Simulation results show that the algorithms can achieve a reasonable tradeoff between fairness and efficiency.

Keywords:
Computer science Telecommunications link Resource allocation MIMO Game theory Multi-user MIMO Spectral efficiency Frequency-division multiple access Bargaining problem Flexibility (engineering) Resource management (computing) Cooperative game theory Wireless Orthogonal frequency-division multiplexing Mathematical optimization Computer network Distributed computing Channel (broadcasting) Telecommunications Mathematics Microeconomics Economics

Metrics

12
Cited By
1.33
FWCI (Field Weighted Citation Impact)
17
Refs
0.85
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
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications

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