摘要
提出了一种集随机接入和功率控制于一体的多读写器抗干扰联合优化算法,可根据读写器密度自适应调节2种作用的权重.首先全面考虑接入概率、功率大小和信道选择对读写器信噪比的影响,将多读写器抗干扰问题建模成混合-整数规划问题;其次采用广义Benders分解方法将算法分解成易求解的子问题和二进制规划主问题,并证明了算法收敛于全局最优解;最后通过仿真验证了算法在标签识别率和公平性方面优于现有方案.
A joint anti-interference optimization algorithm for multiple readers is proposed,which integrates random access and power control strategies.Firstly,considering the effects of access probability,transmitting power and channel selection on the signal-to-noise ratio(SNR)of the reader,the anti-interference problem of multiple readers is modeled as a mixed integer programming problem.Secondly,the generalized Benders decomposition method is used to decompose the algorithm into an easy-to-solve primal problem and a master problem of binary programming.It is proved that the algorithm converges to the global optimal solution.Finally,the simulation results show that the algorithm outperforms the existing schemes in tag recognition rate and fairness.
作者
王帅
WANG Shuai(School of Electrical Engineering and Automation,Henan Polytechnic University,Henan Jiaozuo 454000,China)
出处
《北京邮电大学学报》
EI
CAS
CSCD
北大核心
2019年第4期8-14,共7页
Journal of Beijing University of Posts and Telecommunications
基金
河南省高等学校重点科研项目(17A510002)
河南理工大学博士基金项目(B2016-18)
关键词
射频识别系统
读写器间干扰
随机接入
功率控制
radio frequency identification system
reader-to-reader interference
random access
power control
