Energy Efficient Resource Allocation in Millimeter-Wave-Based Fog Radio Access Networks

Both caching and Millimeter wave (mmWave) are promising techniques for next generation wireless communications. Moreover, the combination of fog radio access network and mmWave communication helps to improve the energy efficiency of both. We consider subchannel assignment and power control in mmWave-based fog radio access networks with attention to network caching scheme, user experience constraints, cross-layer interference suppression, system energy efficiency. Specifically, the power optimization problem is explored based the alternative direction method of multipliers (ADMM). A low compute complexity subchannel assignment algorithm is proposed. The simulation results demonstrate that the method has fewer iterations and the energy efficiency is optimized obviously.