Leakage-based beamforming via game theory for reverse spectrum auction in cellular offloading systems
Leakage-based beamforming via game theory for reverse spectrum auction in cellular offloading systems
复制标题
通过博弈论进行基于泄漏的波束成形，用于蜂窝卸载系统中的反向频谱拍卖
DOI：
10.1016/j.phycom.2017.04.006
复制
发表时间：
2017-04
影响因子：
2.2
通讯作者：
Hongbin Chen
中科院分区：
文献类型：
--
作者：
Feng Zhao;Xiaofei Xu;Hongbin Chen
移动的业务的爆炸式增长和高度动态的特性通常使得蜂窝服务提供商越来越有压力来提供足够的蜂窝频谱资源以支持一天中业务需求的动态变化。本文针对蜂窝网络业务需求的动态特性，提出了一种最优的、真实的反向拍卖激励框架，并提出了一种基于第三方接入点容量的评估函数。我们考虑在第三方网络中的频谱共享，其中多个次要用户（SU）与主要用户（PU）共享频谱。基于博弈论提出了一种基于泄漏的波束形成算法，该算法在SU的信号泄漏噪声比（SLNR）约束和PU干扰约束下，最大化第三方接入点的总效用。总吞吐量最大化问题被制定为一个非合作的游戏，其中SU相互竞争的资源。纳什均衡被认为是这个博弈的解。仿真结果表明，该算法可以获得较高的吞吐量和收敛到局部最优波束形成向量。
The explosion of mobile traffic and highly dynamic property often make it increasingly stressful for a cellular service provider to provide sufficient cellular spectrum resources to support the dynamic change of traffic demand in a day. In this paper, considering the dynamic characteristic of the cellular network traffic demand, we not only proposed an optimal, truthful reverse auction incentive framework, but also proposed a valuation function which is based on third-party access points’ capacity. We consider spectrum sharing in a third-party network where several secondary users (SUs) share spectrum with a primary user (PU). A leakage-based beamforming algorithm is proposed via game theory to maximize the sum utility of third-party access points subject to the signal-to-leakage-and-noise (SLNR) constraint of SUs and PU interference constraint. The sum throughput maximization problem is formulated as a non-cooperative game, where the SUs compete with each other over the resources. Nash equilibrium is considered as the solution of this game. Simulation results show that the proposed algorithm can achieve a high sum throughput and converge to a locally optimal beamforming vector.
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DOI：
10.1109/icc.2012.6363632
发表时间：
2012-06
期刊：
2012 IEEE International Conference on Communications (ICC)
影响因子：
--
作者：
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通讯作者：
Dejun Yang;Xi Fang;G. Xue
影响因子：
7.9
作者：
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通讯作者：
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影响因子：
6.8
作者：
Chun-Che Chien;Hsuan-Jung Su;Hsueh-Jyh Li
通讯作者：
Chun-Che Chien;Hsuan-Jung Su;Hsueh-Jyh Li
影响因子：
10.4
作者：
L. Al-Kanj;H. Poor;Z. Dawy
通讯作者：
L. Al-Kanj;H. Poor;Z. Dawy
DOI：
10.1109/aic-mitcsa.2016.7759916
发表时间：
2016-05
期刊：
2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)
影响因子：
--
作者：
T. Jamel
通讯作者：
T. Jamel