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Cognitive MIMO radio: an emerging paradigm for enhancing wireless access capability

机译:认知MIMO无线电:增强无线接入能力的新兴范例

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In this contribution, we explore the access performance of cognitive multiple-input multiple-output (MIMO) radio, a novel paradigm that should combine the flexibility features of cognitive radio with the multiplexing capabilities of the multi-antenna one. As application scenario, we consider the (Rayleigh flat-faded) uplink of a WLAN working in infrastructure-mode, where non-cooperative multi-antenna cognitive radios attempt to join to a (possibly multi-antenna) access point (AP). The target of each radio is the competitive maximisation of own access throughput in the presence of (spatially-colored) multiple-access interference (MAI). Being the radios cognitive, they are capable to 'sense' the ambient-context and 'self-reconfigure' their access strategy via suitable power-allocation and spatial signal-shaping. Hence, by exploiting these cognitive capabilities, the access to the MIMO uplink is modelled as a non-cooperative strategic game. An iterative and scalable algorithm is developed that allows to play the resulting access game in a distributed and asynchronous way (under both best-effort and 'contracted-QoS' access policies) by resorting on the implementation of MAI-mitigation strategies.
机译:在这项贡献中,我们探索了认知多输入多输出(MIMO)无线电的访问性能,这是一种新颖的范例,应该将认知无线电的灵活性特征与多天线多路复用能力相结合。作为应用场景,我们考虑了以基础架构模式工作的WLAN的(瑞利平坦)上行链路,其中非合作式多天线认知无线电试图加入(可能是多天线)接入点(AP)。每个无线电的目标是在存在(空间彩色)多址干扰(MAI)的情况下竞争性地最大化自身的接入吞吐量。作为无线电的认知者,他们能够通过适当的功率分配和空间信号整形来“感知”周围环境并“自我重新配置”其接入策略。因此,通过利用这些认知能力,对MIMO上行链路的访问被建模为非合作战略游戏。开发了一种可迭代的可扩展算法,该算法允许通过采用MAI缓解策略的实现以分布式异步方式(在“尽力而为”和“合同QoS”访问策略下)玩最终的访问游戏。

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