Next Article in Journal
A Deep Learning Based Transmission Algorithm for Mobile Device-to-Device Networks
Next Article in Special Issue
Analysis of an SDN-Based Cooperative Caching Network with Heterogeneous Contents
Previous Article in Journal
An Enhanced Trust Mechanism with Consensus-Based False Information Filtering Algorithm against Bad-Mouthing Attacks and False-Praise Attacks in WSNs
Previous Article in Special Issue
On Performance Analysis of Underlay Cognitive Radio-Aware Hybrid OMA/NOMA Networks with Imperfect CSI
Open AccessArticle

Stackelberg Game Based Social-Aware Resource Allocation for NOMA Enhanced D2D Communications

by Wenying Gu 1,2 and Qi Zhu 1,2,*
1
Jiangsu Key Laboratory of Wireless Communications, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
2
Engineering Research Center of Health Service System Based on Ubiquitous Wireless Networks, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
*
Author to whom correspondence should be addressed.
Electronics 2019, 8(11), 1360; https://doi.org/10.3390/electronics8111360
Received: 28 September 2019 / Revised: 9 November 2019 / Accepted: 14 November 2019 / Published: 16 November 2019
(This article belongs to the Special Issue Cooperative Communications for Future Wireless Systems)
Device-to-device (D2D) communication and non-orthogonal multiple access (NOMA) have been considered promising techniques to improve system throughput. In the NOMA-enhanced D2D scenario, a joint channel and power allocation algorithm based on the Stackelberg game is proposed in this paper. The social relationship between the cellular and D2D users is utilized to define their utility functions. In the two-stage Stackelberg game, the cellular user is the leader and the D2D group is the follower. Cellular users and D2D groups are matched via the Kuhn–Munkres (KM) algorithm to allocate channels for D2D groups in the first stage. The power allocation of D2D users is optimized through a penalty-function-based particle swarm optimization algorithm (PSO) in the second stage. The simulation results show that the proposed algorithm can effectively strengthen the cooperation between cellular and D2D users and improve their utility. View Full-Text
Keywords: D2D; NOMA; Stackelberg game; social relationship D2D; NOMA; Stackelberg game; social relationship
Show Figures

Figure 1

MDPI and ACS Style

Gu, W.; Zhu, Q. Stackelberg Game Based Social-Aware Resource Allocation for NOMA Enhanced D2D Communications. Electronics 2019, 8, 1360.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop