Energy-aware optimization and mechanism design for cellular device-to-device local area networks

Abstract

Abstract-In a device-to-device (D2D) local area network (LAN), mobile users (MUs) must cooperate to download common real-time content from a wireless cellular network. However, sustaining such D2D LANs over cellular networks requires the introduction of mechanisms that will incentivize the MUs to cooperate. In this paper, the problem of energy-aware D2D LAN formation over cellular networks is studied. The problem is formulated using a game-theoretic framework in which each MU seeks to minimize its energy consumption while actively participating in the D2D LAN. To account for the selfish behavior of the MUs, a punishment and incentive protocol is proposed in order to ensure cooperation among MUs. Within this protocol, an estimation algorithm is proposed to simulate the process of D2D LAN formation and, then, adjust the mechanism parameters to maintain cooperation. Simulation results show that the proposed framework can improve energy efficiency up to 36% relative to the traditional multicast scenario.

User-Information-Aware D2D Multicast File Distribution Mechanism

“…The relay nodes can consume a large amount of energy when forwarding data for other users, but the battery capacity of relay nodes is limited. Therefore, in the relevant research areas, besides the efforts to improve the data distribution rate, delay performance, and system capacity, there are a large number of domestic and international researches which devoted to optimizing the energy efficiency of the system [ 24 , 25 , 26 ]. To cope with the increasing demand for local services in 5G cellular networks, literature [ 27 ] proposed a new cellular communication architecture that integrates energy harvesting technology and social networking features into D2D communication for local data dissemination.…”

Energy-Efficient Multicast Transmission for Underlay Device-to-Device Communications: A Social-Aware Perspective

“…Generally speaking, the energy consumption of each UE depends on transmission/reception time and bit rate [39]. In this work, we use the generic energy consumption model proposed in [40], where the energy consumption is formulated as ( ) .…”