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Cognitive femtocell networks: an opportunistic spectrum access for future indoor wireless coverage

机译:认知毫微微小区网络:未来室内无线覆盖的机会频谱接入

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Femtocells have emerged as a promising solution to provide wireless broadband access coverage in cellular dead zones and indoor environments. Compared with other techniques for indoor coverage, femtocells achieve better user experience with less capital expenditure and maintenance cost. However, co-channel deployments of closed subscriber group femtocells cause coverage holes in macrocells due to co-channel interference. To address this problem, cognitive radio technology has been integrated with femtocells. CR-enabled femtocells can actively sense their environment and exploit the network side information obtained from sensing to adaptively mitigate interference. We investigate three CRenabled interference mitigation techniques, including opportunistic interference avoidance, interference cancellation, and interference alignment. Macrocell activities can be obtained without significant overhead in femtocells. In this article, we present a joint opportunistic interference avoidance scheme with Gale-Shapley spectrum sharing (GSOIA) based on the interweave paradigm to mitigate both tier interferences in macro/femto heterogeneous networks. In this scheme, cognitive femtocells opportunistically communicate over available spectrum with minimal interference to macrocells; different femtocells are assigned orthogonal spectrum resources with a one-to-one matching policy to avoid intratier interference. Our simulations show considerable performance improvement of the GSOIA scheme and validate the potential benefits of CRenabled femtocells for in-home coverage.
机译:毫微微蜂窝已经成为一种有前途的解决方案,可以在蜂窝盲区和室内环境中提供无线宽带接入覆盖。与其他室内覆盖技术相比,毫微微小区以更少的资本支出和维护成本获得了更好的用户体验。但是,封闭的用户组毫微微小区的同信道部署会由于同信道干扰而在宏小区中造成覆盖漏洞。为了解决这个问题,认知无线电技术已经与毫微微小区集成在一起。启用CR的毫微微小区可以主动感知其环境,并利用从感知中获得的网络侧信息来自适应地减轻干扰。我们研究了三种启用CR的干扰缓解技术,包括机会性避免干扰,消除干扰和对齐干扰。毫微微小区无需大型开销即可获得宏小区活动。在本文中,我们提出了基于交织范式的Gale-Shapley频谱共享(GSOIA)联合机会避免干扰方案,以减轻宏/毫微微异构网络中的两层干扰。在这种方案中,认知型毫微微小区在机会频谱上进行机会通信,而对宏小区的干扰最小;使用一对一匹配策略为不同的毫微微小区分配正交频谱资源,以避免层内干扰。我们的仿真显示GSOIA方案的性能得到了显着改善,并验证了启用CR的毫微微小区在家庭覆盖中的潜在优势。

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