Efficient Interference-Aware D2D Pairing for Collaborative Data Dissemination
Wei Song, Yiming Zhao · 2018
To offer a large capacity in the fifth-generation (5G) mobile networks, a promising technique is to integrate and utilize the intelligence and resources of smart devices at the mobile edge. In this paper, we investigate how to exploit device collaboration to facilitate data dissemination via device-to-device (D2D) communications. In particular, we focus on a key research problem that aims to effectively pair request devices with cache devices in close proximity. Due to the interference among D2D links, it is computationally hard to obtain an optimal pairing for a large-scale network. Hence, we propose an interference-aware approach that can obtain a near- optimal approximation result efficiently. Specifically, the proposed approach first uses Lagrangian relaxation to find an upper-bound solution, and then derives a feasible solution from the initial pairing and further augments it. Extensive simulation results show that our approach performs closely to the optimal solution and achieves significant performance gain over the existing schemes in terms of the ratio of matched device pairs and total sum rate.