Key points are not available for this paper at this time.
The Radio Access Network based on Fog computing (F- RAN) has been recently proposed to alleviate the heavy burden on backhauls of Cloud Radio Access Network (C-RAN). Equipping the edge device of C-RAN with local storage module (cache) is a specific realization of F-RAN. Some frequently requested files are cached at the Radio Units (RUs), both the traffic load and the overall delay can be reduced. In this paper, we consider the downlink of the Cache-Enabled F-RAN, where minimization of power consumption is investigated for the Green Communication. We focus on the design of green network at the system level, such that not only the transmission power, but also all additional operational power of active RUs (incl. power used for circuits, associated backhaul, etc.) is considered. Based on the channel states, requested and cached files, an efficient algorithm for the joint optimization of RU selection, clustering formulation and beamforming is proposed. Meanwhile, the desired Quality of Service (QoS) is guaranteed and the load on each active backhaul is balanced according to its capacity. Numerical results show that with the proposed algorithm, more RUs can be switched off to achieve greener network, as the cache memory is increased.
Chen et al. (Thu,) studied this question.