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.

scholarly journals A Joint Optimization Scheme of Resource Allocation in Downlink NOMA with Statistical Channel State Information

2020 ◽  
Author(s):  
Lei Xu ◽  
Jing Yi Yao ◽  
Jing Cai ◽  
Yu Hong Fang ◽  
Hui Xiao Li
Keyword(s):  
Power Allocation ◽  
Channel State Information ◽  
Communication Systems ◽  
Multiple Access ◽  
Joint Optimization ◽  
System Throughput ◽  
Optimization Scheme ◽  
Channel State ◽  
State Information ◽  
User Grouping

Abstract In a real communication scenario, it is very difficult to obtain the real-time Channel State Information(CSI) accurately, so the communication systems with statistical CSI have been researched. In order to maximize the throughput of the downlink Non-Orthogonal Multiple Access (NOMA) system with statistical CSI, the formula of system throughput is derived at first. Then, according to the combinatorial characteristics of the original optimization problem, it is divided into two subproblems, that is user grouping and power allocation. At last, a joint optimization scheme is proposed. In which, Genetic algorithm is introduced to solve the subproblem of power allocation, and Hungarian algorithm is introduced to solve the subproblem of user grouping. By comparing the ergodic date rate of NOMA users with statistical CSI and perfect CSI, the effectiveness of the statistical CSI sorting is verified. Compared with the Orthogonal Multiple Access (OMA) scheme, the NOMA scheme with the fixed user grouping scheme and the random user grouping scheme, the proposed scheme can effectively improve the system throughput.

scholarly journals D2D-Enabled Small Cell Network Control Scheme Based on the Dynamic Stackelberg Game

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Sungwook Kim
Keyword(s):  
Stackelberg Game ◽  
Learning Algorithm ◽  
Cell Structure ◽  
Small Cell ◽  
Network Control ◽  
System Throughput ◽  
D2d Communications ◽  
Cell Network ◽  
Control Scheme ◽  
Small Cell Network

For current and future cellular networks, small cell structure with licensed and unlicensed bandwidth, caching content provisioning, and device-to-device (D2D) communications is seen as a necessary architecture. Recently, a series of control methods have been developed to address a myriad of challenges in next-generation small cell networks. In this study, we focus on the design of novel D2D-enabled small cell network control scheme by allowing caching and unlicensed D2D communications. Motivated by game theory and learning algorithm, the proposed scheme adaptively selects caching contents and splits the available bandwidth for licensed and unlicensed communications. Under dynamically changing network environments, we capture the dynamics of the network system and design a new dynamic Stackelberg game model. Based on a hierarchical and feedback based control manner, small base stations and users can be leaders or followers dynamically while improving 5G network performance. Simulations and performance analysis verify the efficiency of the proposed scheme, showing that our approach can outperform existing schemes by about 5%~15% in terms of bandwidth utilization, cache hit ratio, and system throughput.

scholarly journals Throughput Analysis for Non-Orthogonal Multiple Access (NOMA)-Based 5G Networks

2019 ◽  
Vol 8 (3S) ◽  
pp. 101-108
Keyword(s):  
Power Allocation ◽  
Interference Cancellation ◽  
Multiple Access ◽  
System Throughput ◽  
Superposition Coding ◽  
5G Networks ◽  
Throughput Analysis ◽  
Radio Access ◽  
5G Network ◽  
High System

Non-Orthogonal Multiple Access (NOMA) scheme is one of the emerging radio access techniques to enhance the system performance for 5G networks. The powerdomain NOMA is one of the basic NOMA schemes that perform superposition coding (SC) at the transmitter and successive interference cancellation (SIC) at the receiver. Power Allocation (PA) plays a significant role in attaining successful SIC and high system throughput. This work is focusing on power allocation to maximize the throughput for NOMA-based 5G network. The objective functions, algorithms, constraints and limitations of the system design in power allocation techniques for NOMA-based 5G networks in terms of throughput analysis are extensively investigated and reported.

scholarly journals A Novel Resource Allocation Scheme in NOMA-Based Cellular Network with D2D Communications

2020 ◽  
Vol 12 (1) ◽  
pp. 8 ◽  
Author(s):  
Jingpu Wang ◽  
Xin Song ◽  
Yatao Ma
Keyword(s):  
Resource Allocation ◽  
Power Allocation ◽  
Interference Cancellation ◽  
Cellular Network ◽  
System Throughput ◽  
Search Rate ◽  
D2d Communications ◽  
Selection Scheme ◽  
Allocation Algorithm ◽  
Complexity Cost

Non-orthogonal multiple access (NOMA) has become a promising technology for 5G. With the support of effective resource allocation algorithms, it can improve the spectrum resource utilization and system throughput. In this article, a new resource allocation algorithm in the NOMA-enhanced cellular network with device-to-device (D2D) communications is proposed, in which we use two new searching methods and an optimal link selection scheme to maximize the system throughput and limit the interferences of the NOMA-based cellular network. In the proposed joint user scheduling, tree-based search power allocation and link selection algorithm, we simplify the solving process of previous methods and set up the optimization function, which does not need to be derivable. With successive interference cancellation (SIC) technology, we give conditions for the D2D devices accessing into the network. We also propose a suboptimal scheme to schedule cellular users and D2D devices into multiple subchannels, which reduces the complexity of the exhaustive search method. Through consistent tree-based searching for the power allocation coefficients, we can get the maximum arithmetic average of the system sum rate. Meanwhile, for the existence of the part of interferences from larger power users which can be canceled by the SIC in NOMA systems, the search options are decreased for increasing the search rate of the power allocation algorithm. Moreover, we propose a distance-aware link selection scheme to guarantee the quality of communications. In summary, the proposed algorithm can improve the system throughput, has a low complexity cost and potentially increases spectral utilization. Numerical results demonstrate that the proposed algorithm achieves a higher data transmission rate than some of the traditional methods and we also investigate the convergence and the computational complexity cost of the joint algorithm.

scholarly journals Power Allocation of Non-Orthogonal Multiple Access Based on Dynamic User Priority for Indoor QoS-Guaranteed Visible Light Communication Networks

2018 ◽  
Vol 8 (8) ◽  
pp. 1219 ◽  
Author(s):  
Siyu Tao ◽  
Hongyi Yu ◽  
Qing Li ◽  
Xiangwei Bai ◽  
Yanqun Tang
Keyword(s):  
Visible Light ◽  
Power Allocation ◽  
Communication Networks ◽  
User Satisfaction ◽  
Multiple Access ◽  
Visible Light Communication ◽  
Small Cells ◽  
System Throughput ◽  
User Data ◽  
User Priority

Non-orthogonal multiple access (NOMA) simultaneously provides multi-user access over the same frequency band or time period, which can significantly improve system throughput in visible light communication (VLC) networks. However, the different interference components of NOMA and the diversified user requirements in VLC are difficult to coordinate. To guarantee both throughput enhancement and quality of service (QoS) satisfaction, this paper presents a power allocation scheme based on dynamic user priority in indoor NOMA-VLC networks. We introduce fuzzy logic (FL) to flexibly analyse user priority and assign signal power using multi-dimensional user features. The experimental results show that our method achieves the best performance in terms of user fairness and satisfaction. In indoor VLC, which has small cells with a high user density, our method outperforms contrastive schemes in terms of the average user data rate (AUDR). Therefore, in comparisons between static and dynamic user priority, our study indicates the fairness advantages of FL for the dynamic evaluation of user priority. In comparisons between NOMA and orthogonal multiple access, our study reflects the AUDR advantages of non-orthogonal methods. Furthermore, in comparisons of user satisfaction, our method outperforms existing methods, indicating the achievement of the QoS guarantee.

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
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