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Semi-cooperative game theoretic framework for resource allocation in cognitive cellular networks

机译:认知蜂窝网络中资源分配的半合作博弈理论框架

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Deployment of small cells beside macro cells has become the promising solution to meet the increasing service demand with limited bandwidth. However, the inter- and intra-tier interference limit the network capacity. Here, we present a semi-cooperative based resource allocation (SCRA) framework for cognitive small cells. The proposed framework allocates the underutilized spectrum of primary network for the downlink transmission of cognitive small cells such that the interference to primary users is below the threshold and the QoS (Quality of Service) of the associated user is satisfied. The game theoretic approach is adapted for distributed resource allocation where players (i.e. cognitive small cells) access primary channels in a non-cooperative manner. The utility of players is modeled as a negative weighted sum of the transmission power in the primary channels. We assume that the macro cell, after a specific interval of time, uses the primary users’ cooperation to obtain the channel weights for the players. We show that there exists the Nash Equilibrium (NE) in the proposed game of resource allocation. Finally, the performance of proposed SCRA enabled two-tier networks is demonstrated through extensive simulations.
机译:在宏小区旁边部署小型小区已成为有前途的解决方案,可以满足有限带宽下不断增长的服务需求。但是,层间和层内干扰会限制网络容量。在这里,我们提出了一种基于半合作的认知小细胞资源分配(SCRA)框架。所提出的框架将主要网络的未充分利用的频谱分配给认知小小区的下行链路传输,使得对主要用户的干扰低于阈值,并且满足了相关用户的QoS(服务质量)。博弈论方法适用于分布式资源分配,其中玩家(即认知小蜂窝)以非合作方式访问主要渠道。播放器的效用被建模为主通道中传输功率的负加权总和。我们假设宏小区在特定时间间隔后使用主要用户的合作来获取玩家的频道权重。我们表明在提议的资源分配博弈中存在纳什均衡(NE)。最后,通过广泛的仿真演示了建议的SCRA支持的两层网络的性能。

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