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Conference Paper A Joint Power Control and Converge Scheme in a Cognitive-Femtocell Architecture for Wireless Networks for Throughput Maximization
Cited 8 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Nak Woon Sung, John Paul M. Torregoza, Won Joo Hwang, Sook Jin Lee, Hyun Soo Yoon
Issue Date
2010-07
Citation
International Conference on Industrial Informatics (INDIN) 2010, pp.1025-1030
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/INDIN.2010.5549599
Abstract
Cognitive radio and femtocells are recent technology breakthroughs that aim at achieving throughput improvement by means of spectrum management and interference mitigation, respectively. However, these technologies are limited by the former's susceptibility to interference and the latter's dependence on bandwidth availability. In this paper, we overcome these limitations by integrating cognitive radio and femtocell technology and explore the byproduct's feasibility and throughput improvement. To realize this, we propose an integrated architecture and optimization framework based on power control, coverage assignment, and compensation schemes. Based on numerical results, the optimization framework is found to be both stable and converging. Simulation studies further show that the proposed architecture and optimization framework improves the aggregate throughput as the client population rises, hence confirming the successful and beneficial integration of these technologies. © 2010 IEEE.
KSP Keywords
Aggregate throughput, Integrated architecture, Interference mitigation, Numerical results, Optimization framework, Power control(PC), Recent technology, Simulation study, Spectrum management, Throughput Improvement, Throughput Maximization