Game Theory Based Energy-Aware Uplink Resource Allocation in OFDMA Femtocell Networks
Femtocell is a promising technique not only in operator networks but also in having potential applications for industrial wireless sensor networks. In this paper, we investigate energy efficient uplink power control and subchannel allocation in two-tier femtocell networks. Taking transmit power and...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-03-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2014/658158 |
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| _version_ | 1849698618137640960 |
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| author | Jun Zhao Wei Zheng Xiangming Wen Xiaoli Chu Haijun Zhang Zhaoming Lu |
| author_facet | Jun Zhao Wei Zheng Xiangming Wen Xiaoli Chu Haijun Zhang Zhaoming Lu |
| author_sort | Jun Zhao |
| collection | DOAJ |
| description | Femtocell is a promising technique not only in operator networks but also in having potential applications for industrial wireless sensor networks. In this paper, we investigate energy efficient uplink power control and subchannel allocation in two-tier femtocell networks. Taking transmit power and circuit power into account, we model the power control and subchannel allocation problem as a supermodular game to maximize energy efficiency of femtocell users. To reduce the cochannel interference from femtousers to neighboring femtocells and macrocells, we introduce a convex pricing scheme to curb their selfish behavior. We decompose the resource allocation problem into two subproblems, that is, a distributed subchannel allocation scheme and a distributed power control scheme to reduce costs and complexity. Simulation results show that the proposed algorithm can improve user utilities significantly, compared with existing power control and subchannel allocation algorithms. |
| format | Article |
| id | doaj-art-939adeb4d24c4f59a457d623710534b2 |
| institution | DOAJ |
| issn | 1550-1477 |
| language | English |
| publishDate | 2014-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-939adeb4d24c4f59a457d623710534b22025-08-20T03:18:52ZengWileyInternational Journal of Distributed Sensor Networks1550-14772014-03-011010.1155/2014/658158658158Game Theory Based Energy-Aware Uplink Resource Allocation in OFDMA Femtocell NetworksJun Zhao0Wei Zheng1Xiangming Wen2Xiaoli Chu3Haijun Zhang4Zhaoming Lu5 School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing 100876, China School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing 100876, China School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing 100876, China Department of Electronic Engineering, The University of Sheffield, Sheffield S1 3JD, UK College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaFemtocell is a promising technique not only in operator networks but also in having potential applications for industrial wireless sensor networks. In this paper, we investigate energy efficient uplink power control and subchannel allocation in two-tier femtocell networks. Taking transmit power and circuit power into account, we model the power control and subchannel allocation problem as a supermodular game to maximize energy efficiency of femtocell users. To reduce the cochannel interference from femtousers to neighboring femtocells and macrocells, we introduce a convex pricing scheme to curb their selfish behavior. We decompose the resource allocation problem into two subproblems, that is, a distributed subchannel allocation scheme and a distributed power control scheme to reduce costs and complexity. Simulation results show that the proposed algorithm can improve user utilities significantly, compared with existing power control and subchannel allocation algorithms.https://doi.org/10.1155/2014/658158 |
| spellingShingle | Jun Zhao Wei Zheng Xiangming Wen Xiaoli Chu Haijun Zhang Zhaoming Lu Game Theory Based Energy-Aware Uplink Resource Allocation in OFDMA Femtocell Networks International Journal of Distributed Sensor Networks |
| title | Game Theory Based Energy-Aware Uplink Resource Allocation in OFDMA Femtocell Networks |
| title_full | Game Theory Based Energy-Aware Uplink Resource Allocation in OFDMA Femtocell Networks |
| title_fullStr | Game Theory Based Energy-Aware Uplink Resource Allocation in OFDMA Femtocell Networks |
| title_full_unstemmed | Game Theory Based Energy-Aware Uplink Resource Allocation in OFDMA Femtocell Networks |
| title_short | Game Theory Based Energy-Aware Uplink Resource Allocation in OFDMA Femtocell Networks |
| title_sort | game theory based energy aware uplink resource allocation in ofdma femtocell networks |
| url | https://doi.org/10.1155/2014/658158 |
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