Concurrent transmission scheduling algorithm based on Stackelberg game to enhance time reuse for D2D communications in mmWave networks

2020 ◽  
Vol 14 (21) ◽  
pp. 3882-3892
Author(s):  
Yu Li ◽  
Honggang Wang ◽  
Zhiwei Guo ◽  
Ting Yang ◽  
Shiju Yang
Keyword(s):  
Stackelberg Game ◽  
Scheduling Algorithm ◽  
Transmission Scheduling ◽  
D2d Communications ◽  
Concurrent Transmission

Transmission scheduling algorithm for MIMO link ad hoc networks

2011 ◽  
Vol 55 (6) ◽  
pp. 1351-1359 ◽  
Author(s):  
Dan Chen ◽  
JianDong Li ◽  
ChangLe Li
Keyword(s):  
Ad Hoc Networks ◽  
Ad Hoc ◽  
Scheduling Algorithm ◽  
Transmission Scheduling ◽  
Hoc Networks

scholarly journals A Satellite Observation Data Transmission Scheduling Algorithm Oriented to Data Topics

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Hao Chen ◽  
Baorong Zhai ◽  
Jiangjiang Wu ◽  
Chun Du ◽  
Jun Li
Keyword(s):  
Data Transmission ◽  
Domain Knowledge ◽  
Scheduling Algorithm ◽  
Satellite Observation ◽  
Observation Data ◽  
Transmission Scheduling ◽  
Expected Time ◽  
Knowledge Based ◽  
Sensing Applications ◽  
Speed Up

The scheduling of Earth Observation Satellite (EOS) data transmission is a complex combinatorial optimization problem. With the development of remote sensing applications, a new special requirement named data transmission oriented to topics has appeared. It supposes that the data obtained from each observation activity by satellites belong to certain observation data topics, and every observation data topic has completeness and timeliness requirements. Unless all of the observation data belonging to one topic has been transmitted to the ground before the expected time, the value of the observation data will be decayed sharply and only a part of the rewards (or even no reward) for the data transmission will be obtained. Current researches do not meet the new data topic transmission requirements well. Based on the characteristics of the problem, a mathematic scheduling model is established, and a novel hybrid scheduling algorithm based on evolutionary computation is proposed. In order to further enhance the performance and speed up the convergence process of our algorithm, a domain-knowledge-based mutation operator is designed. Quantitative experimental results show that the proposed algorithm is more effective to solve the satellite observation data topic transmission scheduling problem than that of the state-of-the-art approaches.

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.

A large-scale multiobjective satellite data transmission scheduling algorithm based on SVM+NSGA-II

2019 ◽  
Vol 50 ◽  
pp. 100560 ◽  
Author(s):  
Jiawei Zhang ◽  
Lining Xing ◽  
Guansheng Peng ◽  
Feng Yao ◽  
Cheng Chen
Keyword(s):  
Satellite Data ◽  
Data Transmission ◽  
Large Scale ◽  
Scheduling Algorithm ◽  
Transmission Scheduling ◽  
Nsga Ii

scholarly journals Resource Management for Device-to-Device Communications in Heterogeneous Networks Using Stackelberg Game

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Yinuo He ◽  
Feiran Wang ◽  
Jianjun Wu
Keyword(s):  
Resource Allocation ◽  
Heterogeneous Networks ◽  
Stackelberg Game ◽  
Interference Management ◽  
D2d Communication ◽  
Allocation Scheme ◽  
D2d Communications ◽  
Device To Device ◽  
Group A ◽  
Resource Allocation Scheme

Device-to-device (D2D) communications and femtocell systems can bring significant benefits to users’ throughput. However, the complicated three-tier interference among macrocell, femtocell, and D2D systems is a challenging issue in heterogeneous networks. As D2D user equipment (UE) can cause interference to cellular UE, scheduling and allocation of channel resources and power of D2D communication need elaborate coordination. In this paper, we propose a joint scheduling and resource allocation scheme to improve the performance of D2D communication. We take UE rate and UE fairness into account by performing interference management. First, we construct a Stackelberg game framework in which we group a macrocellular UE, a femtocellular UE, and a D2D UE to form a two-leader one-follower pair. The cellular UE are leaders, and D2D UE is the follower who buys channel resources from the leaders. We analyze the equilibrium of the game and obtain solutions to the equilibrium. Second, we propose an algorithm for joint scheduling of D2D pairs based on their utility. Finally, we perform computer simulations to study the performance of the proposed scheme.

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