MULTI-OBJECTIVE COGNITIVE RADIO DECISION ENGINE BASED ON AUTONOMOUS SEARCH ALGORITHM

作者：Li, Yongcheng; Shen, Hai^*; Wang, Manxi

来源：Journal of the Balkan Tribological Association, 2016, 22(3): 2346-2362.

• bio-inspired computing
• cognitive radio
• automously search algorithm
• multi-objective optimization

The capability of adaptive the surrounding environment is an important feature of cognitive radio. In the adaptation process, cognitive radio need sense the external wireless communication environment and obtain the optimal transmission parameters scheme based on the sensed channel conditions, user requirements and other information, so as to achieve the purpose of effective use of limited spectrum. This parameter adjustment process generally described as multi-objective optimization problem. Typically include minimizing bit error rate, minimizing transmission power, maximizing throughput and other objectives. This paper employed ASA algorithm for five-objective optimization of cognitive radio, the simulation results showed this algorithm can select a group of the most satisfactory solution as the transmission parameters according to the different communication system needs, ensure the effectiveness of cognitive radio parameter adjustment, and meet the cognitive radio decision engine multi-objective optimization requirements.

• 出版日期2016
• 单位沈阳师范大学; 中国科学院沈阳自动化研究所