Abstract
The advanced capabilities of smart mobile devices for mobile network users have led to an explosive increase in the loads of networks, mainly driven by the increasing demand for multimedia services. Content caching in users’ devices can potentially enhance both the quality of service for mobile users and network performance. Upon users’ requests and their mobility models, a network can perform proactive caching to reduce network congestion. Furthermore, implementing an optimal caching method can increase the offloading probability, leading to an overall enhanced performance of the network. In this paper, we present an enhanced energy-based content caching and delivery approach for D2D assisted wireless networks. A cost problem is formulated for optimal caching by considering two important constraints establishing D2D links: Signal-to-Noise Ratio (SNR) and Energy Consumption (EC). An effective optimization algorithm, the Frequency Searching Adaptive Bat Algorithm (FSABA), is used to enhance the cached and delivered content, minimizing the total network cost. The system performance is analyzed and evaluated in terms of total network gain, offloading probability and average transmission delay. To validate the proposed enhancement caching approach, extended simulations are provided.
Keywords: Mobile networks, content caching, user demand, caching policy, frequency searching adaptive bat algorithm, Signal- to-Noise ratio, energy consumption.
Graphical Abstract
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