Price-based stackelberg game for power allocation in heterogeneous dense network

doi:10.19682/j.cnki.1005-8885.2018.1011

中国邮电高校学报(英文) ›› 2018, Vol. 25 ›› Issue (4): 1-11.doi: 10.19682/j.cnki.1005-8885.2018.1011

• Wireless • 下一篇

Price-based stackelberg game for power allocation in heterogeneous dense network

Qi Zhiqiang, Peng Tao, Cao Jiaqi, Wang Wenbo

Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China

收稿日期:2018-06-12 修回日期:2018-09-03 出版日期:2018-08-30 发布日期:2018-11-02
通讯作者: Qi Zhiqiang,E-mail:zhiqiangqi.bupt@gmail.com E-mail:zhiqiangqi.bupt@gmail.com
作者简介:Qi Zhiqiang,E-mail:zhiqiangqi.bupt@gmail.com
基金资助:
This work was supported by the National Science and Technology Major Project of China (2016ZX03001017) and the National Natural Science Foundation of China ( 61571054, 61631004).

Price-based stackelberg game for power allocation in heterogeneous dense network

Qi Zhiqiang, Peng Tao, Cao Jiaqi, Wang Wenbo

Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2018-06-12 Revised:2018-09-03 Online:2018-08-30 Published:2018-11-02
Contact: Qi Zhiqiang,E-mail:zhiqiangqi.bupt@gmail.com E-mail:zhiqiangqi.bupt@gmail.com
About author:Qi Zhiqiang,E-mail:zhiqiangqi.bupt@gmail.com
Supported by:
This work was supported by the National Science and Technology Major Project of China (2016ZX03001017) and the National Natural Science Foundation of China ( 61571054, 61631004).

摘要/Abstract

摘要： A system model consisting of macro and micro base stations (BS) is introduced to solve the problem of power allocation in heterogeneous dense network. In this hierarchical framework, the problem of power allocation is modeled as a stackelberg game. Based on this model, a two-stage pricing algorithm is proposed to allocate power resource to each BS. In this algorithm, a power price is allocated to each micro-BS by macro-BS and all micro-BSs are calculating respective optimal transmit power based on this price to maximize individual utility. Then a grid-based scenario is introduced to verify the proposed theory. Theoretical analysis and simulation results both validate that the proposed scheme makes performance improvement on spectral and power efficiency. Most importantly, the computaitonal complexity of the proposed scheme is greatly improved, especially in dense deployment.

关键词: power allocation, stackelberg game, power pricing, dense deployment, distributed, heterogeneous

Abstract: A system model consisting of macro and micro base stations (BS) is introduced to solve the problem of power allocation in heterogeneous dense network. In this hierarchical framework, the problem of power allocation is modeled as a stackelberg game. Based on this model, a two-stage pricing algorithm is proposed to allocate power resource to each BS. In this algorithm, a power price is allocated to each micro-BS by macro-BS and all micro-BSs are calculating respective optimal transmit power based on this price to maximize individual utility. Then a grid-based scenario is introduced to verify the proposed theory. Theoretical analysis and simulation results both validate that the proposed scheme makes performance improvement on spectral and power efficiency. Most importantly, the computaitonal complexity of the proposed scheme is greatly improved, especially in dense deployment.

Key words: power allocation, stackelberg game, power pricing, dense deployment, distributed, heterogeneous

Qi Zhiqiang, Peng Tao, Cao Jiaqi, Wang Wenbo. Price-based stackelberg game for power allocation in heterogeneous dense network[J]. JOURNAL OF CHINA UNIVERSITIES OF POSTS AND TELECOM, 2018, 25(4): 1-11.

参考文献

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Price-based stackelberg game for power allocation in heterogeneous dense network

Price-based stackelberg game for power allocation in heterogeneous dense network

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