User Satisfaction-Aware Resource Allocation for D2D Enhanced Communication

Abstract

Fog radio access networks has emerged as a promising evolution path for 5G network architecture to satisfy the explosively increasing demands of high-speed data services and massive access requirements of various devices. As a key complement to this path, proximity-based device-to-device (D2D) communications with high transmission rate can better support the above services. For resource allocation in D2D communications, there are two fundamental challenges that should be addressed: 1) how to utilize the mobile characteristics and social relationships among users to enhance the user throughput and 2) how to efficiently allocate the limited resources to guarantee each user's service satisfaction. In this paper, a D2D dual-link enhanced communication model is developed to improve the throughput of D2D and cellular users (CUs) simultaneously. Then, based on the mobility characteristics and social relationships among users, an optimization problem about resource allocation is formulated and solved with the objective to maximize the user satisfaction. The simulation results verify that our proposed scheme can improve user satisfaction and throughput under limited spectrum resources simultaneously.

Social-Aware Peer Selection for Device-to-Device Communications in Dense Small-Cell Networks

“…The parameters used for simulation are given in Table 3. SCBS P (Tx) 40 dBm [25] MCBS P (Tx) 46 dBm [26] Fading Rayleigh flat fading [13] Number of experiments 50…”

Resource Allocation for D2D Video Multicast Using Multi-Leader Multi-Follower Stackelberg Game With Personalized Incentives

“…Xu et al modeled the formation process of clustering as an irreversible utility coalition formation game based on preference relations and switching operations to realize the target content delivery via D2D multicast in [16]. Clusters were divided based on grid clustering method, and video files were distributed to D2D multicast users through cooperation between core users and BS in [17]. Considering that core users can not selflessly help BS forward video files, a resource pricing mechanism based on Stackelberg game was proposed to encourage core users in content distribution in [17].…”

“…Clusters were divided based on grid clustering method, and video files were distributed to D2D multicast users through cooperation between core users and BS in [17]. Considering that core users can not selflessly help BS forward video files, a resource pricing mechanism based on Stackelberg game was proposed to encourage core users in content distribution in [17]. A discount interference pricing scheme for D2D offloading was proposed in [18].…”

“…From analysis above, it is worthwhile to develop both the best community attribution scheme based on physical and social features and resource allocation to further improve the effectiveness of content sharing. However, reference [16], [17] only divided the communities according to one feature, ignoring the attribution of mobile users to multiple communities. By exploring different features of users in one community, more potential D2D communication links can be discovered for content delivery.…”

“…By exploring different features of users in one community, more potential D2D communication links can be discovered for content delivery. Moreover, although the introduction of incentive mechanism in reference [17]- [19] can promote the establishment of D2D communication, the differentiation of social features has been neglected. The incentive of the core user delivery multimedia content to different users may not be the same considering the social features between them.…”