scholarly journals Stackelberg Game Based Social-Aware Power Allocation for Cooperative D2D Communications

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 49877-49885 ◽  
Author(s):  
Xiulan Yu ◽  
Shuaiying Ma ◽  
Porui Zhang
Keyword(s):  
Power Allocation ◽  
Stackelberg Game ◽  
D2d Communications

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

Electronics ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 1360
Author(s):  
Gu ◽  
Zhu
Keyword(s):  
Power Allocation ◽  
Multiple Access ◽  
Social Relationship ◽  
Particle Swarm Optimization Algorithm ◽  
Stackelberg Game ◽  
System Throughput ◽  
D2d Communications ◽  
Second Stage ◽  
The Social ◽  
Joint Channel

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.

Energy efficient power allocation for relay-aided D2D communications in 5G networks

2017 ◽  
Vol 14 (6) ◽  
pp. 54-64 ◽  
Author(s):  
Ru Wang ◽  
Jia Liu ◽  
Guopeng Zhang ◽  
Shuanghong Huang ◽  
Ming Yuan
Keyword(s):  
Power Allocation ◽  
Energy Efficient ◽  
5G Networks ◽  
D2d Communications ◽  
Efficient Power

scholarly journals Energy-Efficient Power Allocation and Relay Selection Schemes for Relay-Assisted D2D Communications in 5G Wireless Networks

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2865 ◽  
Author(s):  
Md Rahman ◽  
YoungDoo Lee ◽  
Insoo Koo
Keyword(s):  
Wireless Networks ◽  
Power Allocation ◽  
Relay Selection ◽  
Base Station ◽  
Data Rate ◽  
Transmission Power ◽  
D2d Communications ◽  
Long Distance ◽  
Inference System ◽  
Efficient Power

Device-to-device (D2D) communications allows user equipment (UE) that are in close proximity to communicate with each other directly without using a base station. Relay-assisted D2D (RA-D2D) communications in 5G networks can be applied to support long-distance users and to improve energy efficiency (EE) of the networks. In this paper, we first establish a multi-relay system model where the D2D UEs can communicate with each other by reusing only one cellular uplink resource. Then, we apply an adaptive neuro-fuzzy inference system (ANFIS) architecture to select the best D2D relay to forward D2D source information to the expected D2D destination. Efficient power allocation (PA) in the D2D source and the D2D relay are critical problems for operating such networks, since the data rate of the cellular uplink and the maximum transmission power of the system need to be satisfied. As is known, 5G wireless networks also aim for low energy consumption to better implement the Internet of Things (IoT). Consequently, in this paper, we also formulate a problem to find the optimal solutions for PA of the D2D source and the D2D relay in terms of maximizing the EE of RA-D2D communications to support applications in the emerging IoT. To solve the PA problems of RA-D2D communications, a particle swarm optimization algorithm is employed to maximize the EE of the RA-D2D communications while satisfying the transmission power constraints of the D2D users, minimum data rate of cellular uplink, and minimum signal-to-interference-plus-noise-ratio requirements of the D2D users. Simulation results reveal that the proposed relay selection and PA methods significantly improve EE more than existing schemes.

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