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A dilemma in cloud radio access networks (C-RANs) is how to keep a balance between the performance and the efficiency of centralized processing. To solve this problem, the joint design of training-based channel estimation and cluster formation are studied in this paper. To provide efficient cooperation strategies in C-RANs, individual C-RAN clusters are formed by the remote radio heads (RRHs), and...
The dynamic stochastic resource optimization problem in heterogeneous cloud radio access networks (H-CRANs) is researched in this paper, characterizing the cooperative beamforming with fronthaul capacity and queue stability constraints. To make the average energy efficiency (EE) of remote radio heads (RRHs) arbitrarily close to the optimum and maintain system queue stability, the EE optimization problem...
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