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With the emergence of IoT era and the increased pressure on networks placement of small cells in cellular architecture plays a significant role in boosting the system throughput while truncating the power and energy consumption of the network. To meet the growing demand of data traffic, wireless content caching can be cost effective solution in terms of backhaul energy and capacity while providing effective solution to meet the user demand and reduce the traffic in small cell network. Energy efficiency is a major concern for sustainable development of wireless networking-based IoT. Factors affecting the energy efficiency (EE) of the network are backhaul capacity, power and energy limitation, at the macro base stations. In this paper, we have investigated a file placement strategy in a cooperate small cell network with an objective of maximizing EE. We propose an energy efficient cooperative caching scheme (EECCS) in which files are placed in cooperative small cell base station (SBS) in such a manner that small cell base station can access files from the caches of other small cell base station to maximize the energy efficiency. Numerical results show that energy efficient cooperative caching scheme provides results that validate and characterize the implementation of the proposed algorithm (EECCA).
Khan et al. (Tue,) studied this question.