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Joint Resource Allocation and Power Control for Maximizing the Throughput of Multicast C-RAN

机译:联合资源分配和功率控制以最大化组播C-RAN的吞吐量

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The downlink of multicast Cloud Radio Access Network (C-RAN) is investigated in this work. In such scenarios, on one hand, the achievable rate of a multicasting content is determined and limited by the worst user of the corresponding multicast group. On the other hand, backhaul with limited capacity and individual power constraints of Radio Units (RUs) put more constraints on the design and optimization of such networks. We propose an algorithm to maximize the network multicast throughput, defined as the achievable sum rate of all multicast groups, via a joint power control and backhaul resource allocation among all RUs, as well as power allocation among different multicast groups. Moreover, the optimal multicast beamforming vectors can also be obtained. The algorithm works in an alternating manner, such that we fix the beamformer directions, when the power allocation is optimized and controlled. Then we fix the current achievable SINRs to optimize the beamformer directions. The convergence is proved and the numerical results show the correctness and effectiveness of this algorithm.
机译:在这项工作中,研究了组播云无线电接入网络(C-RAN)的下行链路。在这种情况下,一方面,多播内容的可实现速率由相应多播组的最差用户确定并受其限制。另一方面,具有有限容量和无线电单元(RU)的单个功率限制的回程对此类网络的设计和优化施加了更多限制。我们提出一种算法,以通过所有RU之间的联合功率控制和回程资源分配以及不同组播组之间的功率分配来最大化网络组播吞吐量,该算法定义为所有组播组可实现的总速率。此外,还可以获得最佳多播波束成形向量。该算法以交替方式工作,因此当功率分配得到优化和控制时,我们可以固定波束形成器的方向。然后,我们修复当前可实现的SINR,以优化波束形成器方向。证明了算法的收敛性,数值结果表明了该算法的正确性和有效性。

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