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In future 5G mobile networks, radio access network functions will be virtualized and implemented on centralized cloud platforms. In principle, this allows for more advanced algorithms of joint processing and offers the ability to balance the computational load. However, the shift of functionality on a cloud-platform also imposes challenges on the design of the applied algorithms. In this paper, we...
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...
Mobile operators are moving towards sharing network capacity in order to reduce capital and operational expenditures, while meeting the increasing demand for mobile broadband data services. Radio access network sharing is a promising technique that leads to reduced number of physical base station deployments (required for coverage enhancement), increased base station utilization, and reduced overall...
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