Zhao, Liqiang and Wang, Yuanyuan and Yang, Kun and Yi, Jiangtao and Zhang, Hailin (2014) Nash bargaining solution based joint time‐frequency‐code‐power resource management algorithm for TD‐LTE systems. International Journal of Communication Systems, 27 (10). pp. 1752-1765. DOI https://doi.org/10.1002/dac.2433
Zhao, Liqiang and Wang, Yuanyuan and Yang, Kun and Yi, Jiangtao and Zhang, Hailin (2014) Nash bargaining solution based joint time‐frequency‐code‐power resource management algorithm for TD‐LTE systems. International Journal of Communication Systems, 27 (10). pp. 1752-1765. DOI https://doi.org/10.1002/dac.2433
Zhao, Liqiang and Wang, Yuanyuan and Yang, Kun and Yi, Jiangtao and Zhang, Hailin (2014) Nash bargaining solution based joint time‐frequency‐code‐power resource management algorithm for TD‐LTE systems. International Journal of Communication Systems, 27 (10). pp. 1752-1765. DOI https://doi.org/10.1002/dac.2433
Abstract
<jats:title>SUMMARY</jats:title><jats:p>This paper presents a joint time‐frequency‐code‐power resource management algorithm based on the Nash bargaining solution in time‐division long term evolution systems. First, a joint radio resource allocation scheme at the time, frequency, code and power domain simultaneously is provided for the time‐division long term evolution system. Second, the proposed algorithm is modeled as a cooperative game under the constraints of each user's minimal rate requirement and available resources, for example, the maximal transmitting power. To reduce the computational complexity, the joint resource allocation algorithm is divided into time‐frequency‐code and power domain resource allocation. Also, we could approach the Pareto optimal rate as closely as possible by iterations. Simulation results show that compared with the other resource allocation algorithms, the proposed algorithm has achieved a good tradeoff between the overall system throughput and fairness among different users. Copyright © 2012 John Wiley & Sons, Ltd.</jats:p>
Item Type: | Article |
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Uncontrolled Keywords: | TD-LTE; radio resource management; Game theory |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 13 May 2015 14:28 |
Last Modified: | 30 Oct 2024 20:24 |
URI: | http://repository.essex.ac.uk/id/eprint/13730 |