Energy Efficiency for Data Offloading in D2D Cooperative Caching Networks

Abstract

D2D communication improves the cellular network performance by using proximity-based services between adjacent devices, which considered is an effective way to solve the problem of spectrum scarcity caused by tremendous mobile data traffic. If the cache-enabled users are willing to send the cached file to the requesters, the content delivery traffic can be offloaded through the D2D link. In this paper, we strive to find the maximum energy efficiency of the D2D caching network through the joint optimization of cache policy and content transmit power. Specifically, based on stochastic geometry-aided modeling of the network, we derive the data offloading rate in closed form, which jointly considers the effects of success sensing probability and success transmission probability. According to the data offloading rate, we formulate a joint optimization problem integrating cache policy and transmit power to maximize the system energy efficiency. To solve this problem, we propose two optimization algorithms that the cache policy optimization algorithm based on gradient update and the joint optimization algorithm. The simulation results demonstrate that the joint optimization has twice the superiority in improving the energy efficiency of the D2D caching network compared with other schemes.

Stackelberg game for heterogeneous traffics management in next‐generation cellular network

“…The result obtained from the experiment shows the 98% accuracy of the proposed scheme. MDO through device-to-device (D2D) communication technology is an efficient way to reduce the traffic rate on cellular infrastructure, but energy efficiency is the main issue in such an MDO and is discussed in [55]. To address this issue, the author designed an algorithm called narrative energy competence optimization scheme that has been planned through a joint optimization transmit power and cache policy that will use the theory of stochastic geometry.…”