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Resource Allocation for QF VMIMO Receive Cooperation in Urban Traffic Hotspots

机译:QF VMIMO资源分配在城市交通热点中得到合作

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User cooperation enabled traffic offloading has been shown to be a promising concept to serve a large number of mobile stations in the uplink of an urban traffic hotspot scenario. Multiple mobile stations form a virtual antenna array and jointly access the nearby WLAN access points, achieving large gains compared to non-cooperating schemes. In this paper we consider the corresponding downlink, where the non-cooperating WLAN access points individually transmit their signals to the mobile stations in the hotspot. In order to decode these signals, each mobile station then quantizes its received signal and broadcasts it to the other cooperating mobile stations. The channel access times allocated to the cooperating mobile stations in the broadcasting phase thereby strongly impact the quantization rates and eventually the system performance. Hence, these resources have to be assigned carefully, leading to a non-convex optimization problem. In this context, we propose an efficient resource allocation scheme which yields promising results at low computational complexity. Applying this scheme we then evaluate the downlink of user cooperation enable traffic offloading in an urban traffic hotspot scenario.
机译:用户协作支持的流量卸载已被证明是一个有前途的概念,可以在城市交通热点场景的上行链路中为大量的移动台提供服务。多个移动站形成一个虚拟天线阵列,并共同访问附近的WLAN接入点,与非合作方案相比,可获得较大的收益。在本文中,我们考虑了相应的下行链路,其中不合作的WLAN接入点分别将其信号发送到热点中的移动台。为了解码这些信号,每个移动台然后量化其接收的信号,并将其广播给其他合作的移动台。因此,在广播阶段分配给合作移动台的信道访问时间会极大地影响量化速率,并最终影响系统性能。因此,必须仔细分配这些资源,从而导致非凸优化问题。在这种情况下,我们提出了一种有效的资源分配方案,该方案可以在较低的计算复杂度下产生令人鼓舞的结果。然后,应用此方案,我们将评估用户合作的下行链路,从而在城市交通热点场景中实现交通分流。

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