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EIM: An Enforceable Incentive Mechanism for Dynamic Non-cooperative Multi-radio Channel Allocation in Wireless Mobile Networks

机译:EIM:无线移动网络中动态非合作多无线电信道分配的强制激励机制

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摘要

Multi-radio channel allocation (MRCA) is a key issue to improve the system performance supporting all kinds of mobile applications in wireless networks. However, existed work on non-cooperative MRCA just considers the cases under the extreme saturation load condition and static game, which means that it is assumed that all the nodes always have packets to send and mobile terminals just change the channel once. Such assumption is obviously impractical for actual wireless network and isn't suitable for the mobility of applications without intelligent spectrum management. Meanwhile, the existed schemes are unable to support mobile applications with time-varying channel. In this paper, an enforceable incentive mechanism called EIM is proposed for dynamic non-cooperative multi-radio channel allocation to support mobile applications. In order to optimize the overall performance of mobility management, in the proposed EIM, the strong assumption of saturation network traffic is relaxed, which makes the mobile terminals are able to have time-varying bandwidth requirements. Then, the MRCA problem is modeled as an infinite repeated game. Detailed theoretical analysis proves that there exist multiple pure Nash Equilibriums (NEs) for the game, and, under certain condition, there also exist NEs which are not Pareto-Optimal. Hence, based on the punishment strategy, the proposed EIM can achieve social welfare. Detailed numerical and simulation results show that the proposed EIM can improve the system throughput about 15% compared with the existed works, which can provide an efficient method to manage channel resource and get better ubiquitous online access to preferred mobile services.
机译:多无线电信道分配(MRCA)是提高支持无线网络中各种移动应用程序的系统性能的关键问题。然而,关于非合作MRCA的现有工作只是考虑了极端饱和负载条件和静态博弈下的情况,这意味着假定所有节点始终有要发送的数据包,而移动终端只需更改一次信道。这种假设对于实际的无线网络显然是不切实际的,并且不适用于没有智能频谱管理的应用程序的移动性。同时,现有方案无法支持时变信道的移动应用。在本文中,为动态非合作多无线电信道分配提出了一种称为EIM的可执行激励机制,以支持移动应用程序。为了优化移动性管理的整体性能,在提出的EIM中,放宽了饱和网络流量的强大假设,这使得移动终端能够具有随时间变化的带宽要求。然后,将MRCA问题建模为无限重复博弈。详细的理论分析证明,该游戏存在多个纯纳什均衡(NE),并且在一定条件下,还存在非帕累托最优的NE。因此,基于惩罚策略,提出的EIM可以实现社会福利。详细的数值和仿真结果表明,所提出的EIM与现有工作相比可以将系统吞吐量提高约15%,从而可以提供一种有效的方法来管理信道资源并更好地普遍存在对首选移动服务的在线访问。

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