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QuaRo: A Queue-Aware Robust Coordinated Transmission Strategy for Downlink C-RANs

机译:QuaRo:下行C-RAN的队列感知鲁棒协调传输策略

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A queue-aware robust (QuaRo) coordinated transmission strategy is proposed for Cloud Radio Access Networks (C-RANs) with a central BaseBand processing Unit (BBU) connected to multiple Remote Radio Heads (RRHs). Such QuaRo strategy is adaptive to both user-traffic urgency via Queue State Information (QSI) and wireless channel opportunity via the observed (yet imperfect) Channel State Information (CSI). This involves clustering the RRHs into virtual user-centric clusters and performing Coordinated Beamforming (CB) from each virtual cluster to the target user in the downlink. The underlying control policy is formulated via Lyapunov optimization to minimize the average total transmit power at the RRHs while ensuring the stability of the system. In particular, the designed control policy does not require a-priori knowledge of the probability distribution of data-traffic arrival and channel states, and is robust against the instantaneous channel estimation error in each time slot. Extensive simulation results are presented to illustrate performance gains and robustness of the proposed solutions.
机译:针对具有连接到多个远程无线电头端(RRH)的中央基带处理单元(BBU)的云无线电接入网(C-RAN),提出了一种队列感知的鲁棒(QuaRo)协调传输策略。这样的QuaRo策略既可以通过队列状态信息(QSI)适应用户流量的紧急性,又可以通过观察到的(但还不完美的)信道状态信息(CSI)适应无线信道的机会。这涉及将RRH群集到以虚拟用户为中心的群集中,并在下行链路中执行从每个虚拟群集到目标用户的协调波束成形(CB)。通过Lyapunov优化制定了基本的控制策略,以最大程度地减小RRH处的平均总发射功率,同时确保系统的稳定性。特别地,所设计的控制策略不需要先验的数据流量到达和信道状态的概率分布,并且对于每个时隙中的瞬时信道估计误差具有鲁棒性。给出了广泛的仿真结果,以说明所提出解决方案的性能提高和鲁棒性。

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