Impact of Selfishness in Device-to-Device Communication Underlying Cellular Networks

Abstract

Abstract-In a device-to-device (D2D) communication underlaying cellular network, user equipment are required to operate cooperatively and unselfishly to transmit data as relays. However, most users more or less behave in a selfish way, which makes user selfishness a key factor that affects the performance of the whole communication system. We focus on the impact of user selfishness on D2D communications. By separating the user selfishness into two types in accordance with two D2D transmission modes, which are connected D2D transmission and opportunistic D2D transmission, we propose a time-varying graph model that characterizes the impacts of both individual and social selfishness on the D2D communications. Simulation results obtained under the realistic networking settings indicate that the interaction between connected and opportunistic selfishness worsens the impairment caused by individual selfishness. Additionally, when concerning social selfishness, inside-community selfishness can be ignored in some occasions, while otherwise its role is heavily influenced by community numbers.

A Survey on Human-Centric Communications in Non-Cooperative Wireless Relay Networks

“…Besides, it is revealed that the highest performance gap occurs when the number of relay and non-relay nodes are equal. Similarly, Gao et al [89] employ a time-varying graph model to study the impact of IS and SS nodes on the performance of data offloading in community-based D2D communications. It is assumed that a BS transmits data to a helper seed node and requests it to disseminate the data to the subscribers or other seed nodes.…”

“…The impact of mobile nodes' selfish behavior on the overall D2D network performance is another interesting research challenge that received less attention by the research community. Although a limited number of simulation-based experiments (e.g., [87] [89]) have studied human selfish behaviors in D2D communications underlying cellular networks, there is no analytical approach to explore the effects' of node selfishness on network throughput accurately. For example, a CTMC model can be designed to model data dissemination in communitybased D2D communications and analyze how the network performance metrics are degraded in the presence of D2D selfish mobile nodes.…”

Privacy-Preserving and Trustworthy Device-to-Device (D2D) Offloading Scheme

“…Therefore, this assumption is considered reasonable. In addition, the probability that at least two offloadees among 10 offloadees process the tasks properly is larger than 99% since the probability that offloadees do not process the tasks properly is under 0.5 in practical D2D offloading systems [30], [31]. networks (step 2) because it is assumed that the number of redundant tasks (i.e., T • R O ) is 1 in this example.…”

Mobile-Traffic-Aware Offloading for Energy- and Spectral-Efficient Large-Scale D2D-Enabled Cellular Networks

“…This is because many factors, including instantaneous link conditions, spectrum sharing mode, resource allocation and interference mitigation technique adopted, must be taken into consideration. Moreover, mobility patterns and social network features can be utilized to select better D2D relays [5], [22], [32]- [34]. 3 It is well known that in this circumstance, the noise power only has a very marginal effect on the system coverage probability [35] and almost has no influence on the network EE [36].…”

“…where ρ 1 and ρ 2 are obtained respectively by replacing γ with γ = 2 RC λU(1−POL)/W λB − 1 in ( 33) and (34). The average cellular outage probability is a function of ϖ D which is explicitly indicated in (35).…”