用分区形式的联合博弈方法求解具有自私用户的CRN的绿色机会访问

Imane Daha, Mouna Elmachkour, Ismail Berrada, A. Kobbane
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引用次数: 2

摘要

研究了具有认知用户的分散认知无线网络的节能和系统性能。每个认知无线电(CR)用户都需要感知信道才能发送数据,如果信道未被许可用户占用,则只有一个赢家传输其数据。因此,所有其他用户都把精力浪费在感知许可频带和协商资源访问上,而没有设法传输数据包。我们将分布式认知无线网络的感知能量权衡问题表述为一个联盟形成博弈。我们的贡献是将联盟博弈设计应用于认知无线电网络(CRN)的最重要阶段:传感和数据传输。联合博弈的概念可以强制CR用户的合作行为,以提高系统性能(能量和延迟)。该网络采用具有不可转移效用(NTU)的分区形式的联盟博弈模型。在形成联盟后,这些联盟中的CR用户都不打算改变自己的地位。事实上,该联盟的成员将在传感和接入阶段进行合作,以提高系统性能。当认知用户被限制以较短的延迟和最小的能量消耗发送数据时,这种自私行为就变得明显。我们提出的算法解释了认知用户的自私态度如何导致其加入联盟以增加其个人收益,并默认地提高整个系统的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Green opportunistic access for CRN with selfish users using coalitional game approach in partition form
We study energy conservation and system performance of decentralized cognitive radio network with cognitive users. Every cognitive radio (CR) user needs to sense the channel to send data, if the channel is unoccupied by a licensed user only one winner transmits its data. Hence, all other users waste their energy in sensing the licensed bands and in negotiating the resource access without managing to transmit data packets. We formulate the sensing-energy tradeoff problem for distributed cognitive radio network as a coalition formation game. Our contribution is to apply the coalitional game design to the most important phases of cognitive radio network (CRN): sensing and data transmission. The concept of coalitional game may enforce the cooperative behavior of CR users in order to improve the system performance (energy and delay.). The network is modeled using a coalitional game in partition form with non transferable utility (NTU). After forming coalitions, no CR user in those coalitions aim to change its position. Indeed, the members of this coalition will cooperate both in sensing and access phases to improve system performance. The selfish behavior becomes evident when the cognitive users are constrained to send their data in a short delay and with a minimum of energy consumption. Our proposed algorithm explains how the selfish atittude of the cognitive user leds to join the coalition that increases its individual gain, and tacitly to improve the performance of the entire system.
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