Learn to Breathe: An Energy Efficient Inter-Operator Proximal Spectrum Sharing

摘要: As billions of devices are connecting to the Internet, spectrum crunch has become a major concern for all mobile network operators. One ways address issue lack bandwidth is by sharing licensed among In this paper, we analyze handover probability, coverage and data rate achieved in sharing. Furthermore, increase density Base Stations (BSs) resulted increased energy consumption interference cell-edge users. The results an operational costs while inefficient handling users decreased Quality Experience (QoE) Therefore, propose efficient Q-Learning based framework called as Learning Discrete Breathing which minimizes system without trading off throughput also addresses We proposed extensive simulation show effectiveness our terms consumption, throughput, rating.