Earticle

초록

영어

Due to the question about the distribution of the randomness, mobility and mutual interference between nodes in the wireless networks may be difficult to achieve power control accurately. Therefore, propose a power control algorithm based on minimizing interrupt probability. The algorithm which be based on random geometric network model, under ensuring receiving in the receiver by getting the SIR value, adjusts transmit power. Simulation results show that the algorithm not only can solve the problem of the distribution of the nodes in a wireless net- work, can also according to the channel decline, transmitter was adjusted dynamically in real time. Deduce approximate expression of Interrupt probability transmission capacity. Under meet minimum interrupt probability and maximum transmission capacity, deduce power control expression. By this algorithm, the outage probability decreased by 14.8%, the transmission capacity is increased by 15.6%.

목차

Abstract
 1. Introduction
 2. Network Model and Hypothesis
  2.1. Network System Model
  2.2. Outage Probability
 3. Simulation Results and Analysis
  3.1. Transmission Capacity
  3.2. Simulation experiment
 4. Conclusion 
 Acknowledgements 
 Reference

키워드

저자

• YunLi [ Deparment of Electronic Engineering, Guilin University of Aerospace Technology, Guangxi Guilin 541004; Guangxi Colleges and Universities Key Laboratory of Unmanned Aerial Vehicle (UAV) Telemetry, Guilin University of Aerospace Technology, Guilin 541004, China, School of Electronic and Information Engineering, Tianjin University, Tianjin 300072, China, Guangxi Experiment Center of Information Science, Guangxi, China ]
• Shanlin Sun [ Deparment of Electronic Engineering, Guilin University of Aerospace Technology, Guangxi Guilin 541004; School of Electronic and Information Engineering, Tianjin University, Tianjin 300072, China, Guangxi Experiment Center of Information Science, Guangxi, China ]
• Xunjun Wang [ Deparment of Electronic Engineering, Guilin University of Aerospace Technology, Guangxi Guilin 541004; School of Electronic and Information Engineering, Tianjin University, Tianjin 300072, China, Guangxi Experiment Center of Information Science, Guangxi, China ]
• Zhiyan Sun [ Deparment of Electronic Engineering, Guilin University of Aerospace Technology, Guangxi Guilin 541004; School of Electronic and Information Engineering, Tianjin University, Tianjin 300072, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Future Generation Communication and Networking

• 간기

  격월간

• pISSN

  2233-7857

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605