Cost Efficiency in Coordinated Multiple-Point System Based on Multi-Source Power Supply

The rapid increase in the number of mobile communication users and business transformation are continuously increasing the market demand. High data traffic, low power consumption, high network efficiency, and good user experience are the core of 5G mobile networks in the future. Wireless systems have experienced a sharp increase in power consumption with the growth of high-speed data service. Mobile network operators currently face much heavier economic burden than before due to unprecedented increases in the number of mobile users and base stations. To address these challenges, a peak-valley time-of-use tariff strategy and renewable energy are adopted in wireless systems. In this situation, the relation between power consumption and energy cost becomes non-linear. To describe the cost energy for data transmission, we propose a new concept, namely, cost efficiency (CE), which considers more factors than traditional energy efficiency (EE). We prove that the CE function is strictly quasi-concave and features a unique global optimum in a coordinated multiple-point system based on multi-source power consumption. A water-filling algorithm is also adopted to allocate power on the basis of base sleep mechanism. Then, we compare the system performances under EE and CE.