Analytical modeling of UASNs for fractional power control algorithm

2019 ◽  
Vol 19 (3) ◽  
pp. 581-592
Author(s):  
Yili Xin ◽  
Yun Li ◽  
Shanlin Sun ◽  
Zhicheng Tan ◽  
Xing Yao ◽  
...  
Keyword(s):  
Power Control ◽  
Control Algorithm ◽  
Analytical Modeling ◽  
Fractional Power ◽  
Fractional Power Control ◽  
Power Control Algorithm

Power control algorithm for cellular radio systems

1994 ◽  
Vol 30 (3) ◽  
pp. 195-197 ◽  
Author(s):  
J.-C. Lin ◽  
Y.-T. Su ◽  
T.-H. Lee
Keyword(s):  
Power Control ◽  
Control Algorithm ◽  
Cellular Radio ◽  
Power Control Algorithm ◽  
Radio Systems ◽  
Cellular Radio Systems

scholarly journals A Stackelberg-Game-Based Power Control Algorithm for Wireless Mesh Networks

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Yanbing Liu ◽  
Tao Wu ◽  
Jun Huang ◽  
Shousheng Jia
Keyword(s):  
Power Control ◽  
Wireless Mesh Networks ◽  
Control Algorithm ◽  
Large Scale ◽  
Mesh Networks ◽  
Stackelberg Game ◽  
Noncooperative Game ◽  
Destination Node ◽  
Wireless Mesh ◽  
Power Control Algorithm

Wireless mesh networks (WMNs) are a promising networking paradigm for next generation wireless networking system. Power control plays a vital role in WMNs and is realized to be a crucial step toward large-scale WMNs deployment. In this paper, we address the problem of how to allocate the power for both optimizing quality of service (QoS) and saving the power consumption in WMNs based on the game theory. We first formulate the problem as a noncooperative game, in which the QoS attributes and the power of each node are defined as a utility function, and all the nodes attempt to maximize their own utility. In such game, we correlate all the interfering nodes to be an interfering object and the receiving node to be the interfering object's virtual destination node. We then present an equilibrium solution for the noncooperative game using Stackelberg model, and we propose an iterative, distributed power control algorithm for WMNs. Also, we conduct numeric experiments to evaluate the system performance, our results show that the proposed algorithm can balance nodes to share the limited network resources and maximize total utility, and thus it is efficient and effective for solving the power control problem in WMNs.

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