Abstract

Device-to-device communications refer to the emerging paradigm that permits direct communication between cellular users that are in close physical and social proximity. It is expected to become an essential aspect of the future 5G cellular communications system. As a prerequisite for device-to-device communications, a user has to select another user in its proximity that has the desired information/service and is willing to share it. In this paper, we propose a method for peer selection in dense small-cell device-to-device networks that uses multi-attribute decision modeling. The method exploits both the physical and social characteristics of the user equipment to find the most suitable peer for device-to-device communications. We assume hexagonal small-cell and macro-cell architectures with a small-cell/macro-cell base station with multiple user equipments in its coverage area to evaluate the proposed scheme’s performance. The small-/macro-cell base station exploits various social and physical attributes to rank peers and selects the best one for device-to-device communication with the requesting user. The numerical results demonstrate the proposed algorithm’s efficiency in terms of computational time, selection of the best peer, throughput, and energy efficiency of device-to-device communications.

Highlights

  • Introduction and ContributionOver the last decade, there has been tremendous growth in the demand for data and other network applications and services, largely arising from mobile devices

  • As D2D refers to the communication between the user equipments (UEs) located in proximity, for simplicity, we assume that the Tx and Rx D2D user equipment (DUE) are connected to the same small-cell base stations (SCBSs)

  • We exploited both the social and physical parameters of the UEs to improve the willingness of the users and enhance the performance of the overall D2D communications in terms of throughput and energy efficiency

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Summary

Introduction and Contribution

There has been tremendous growth in the demand for data and other network applications and services, largely arising from mobile devices. The main concept of SCN is to overlay several small-cell base stations (SCBSs) within an existing legacy cellular system This can efficiently reuse the spectrum and improve both coverage and capacity, in densely populated urban areas. Device-to-device (D2D) communications is another exciting approach that has received substantial research attention This communication system can offload traffic from legacy macro-cell base stations (MCBS) by allowing proximate user equipments (UEs) to communicate directly [5]. It can improve the coverage, capacity, and spectrum utilization of a cellular system by efficiently reusing resources and mitigating spectrum congestion. The rest of the paper is divided as follows: Section 2 reviews the relevant literature and highlights some issues; Section 3 discusses the system model and parameter definitions; Section 4 is related to the formulation of the social-aware D2D peer selection algorithm; Section 5 discusses the simulation setup and performance evaluation; and the final section summarizes the discussion with a conclusion and presents directions for future work

Related Works
System Model
Social
Physical Proximity Layer
Human users haveedge different black double
SPLNParameters
PPL Parameters
Signal to Noise Ratio
Data Rate
Throughput
Energy Efficiency
Simulations and Numerical Results
Computation Time
Best Peer Selection
Best Peer1Selection ẟs
Selection
Findings
Conclusions and Future Work
Full Text
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