
Parameter adaptation in green cognitive radio
Author(s) -
Zheng Shi-Lian,
Yang Xiao-niu
Publication year - 2012
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.61.148402
Subject(s) - cognitive radio , computer science , quality of service , adaptation (eye) , particle swarm optimization , energy consumption , power consumption , transmitter power output , mathematical optimization , power (physics) , telecommunications , wireless , transmitter , electrical engineering , physics , algorithm , mathematics , channel (broadcasting) , quantum mechanics , optics , engineering
The model for parameter adaptation problem in green cognitive radio and a particle swarm optimization based solution are proposed. Simulations are conducted to show the performance of the proposed method. Results show that given different quality of service (QoS) requirements, the proposed method can reduce the total transmit power of the system while maintaining the QoS requirements. Thus the goal of reducing energy consumption is reached.