在高密度蜂窝车联网(cellular vehicle-to-everything,C-V2X)中,群集通信终端的有效阵列接入方法是多业务性能保障和有限频谱效率提升的前提。利用蜂窝车联网中终端计算能力,提出了信道自适应的业务接入机制。该机制由基站估计当前区域...在高密度蜂窝车联网(cellular vehicle-to-everything,C-V2X)中,群集通信终端的有效阵列接入方法是多业务性能保障和有限频谱效率提升的前提。利用蜂窝车联网中终端计算能力,提出了信道自适应的业务接入机制。该机制由基站估计当前区域通信密度,生成通信密度关联的接入类别限制(access class barring,ACB)因子,并在通信区域内广播;随后,车载通信终端根据接收基站广播信号的信干噪比(signal to interference plus noise ratio,SINR)和ACB因子计算自适应信道状态的接入概率,并比较接入概率和ACB因子。当接入概率大于ACB因子时,通信终端以最小接入概率从前导码池中随机选择一个前导码上传到基站,以获得与信道状态匹配的接入机会。仿真结果表明,在高密度通信状态下,与S-ALOHA协议和M2M-OSA方案相比,所提方案平均接入碰撞概率降低了约5%~20%,有效地减小了平均接入时延。展开更多
Swarm intelligence inspired by the social behavior of ants boasts a number of attractive features, including adaptation, robustness and distributed, decentralized nature, which are well suited for routing in modern co...Swarm intelligence inspired by the social behavior of ants boasts a number of attractive features, including adaptation, robustness and distributed, decentralized nature, which are well suited for routing in modern communication networks. This paper describes an adaptive swarm-based routing algorithm that increases convergence speed, reduces routing instabilities and oscillations by using a novel variation of reinforcement learning and a technique called momentum.Experiment on the dynamic network showed that adaptive swarm-based routing learns the optimum routing in terms of convergence speed and average packet latency.展开更多
Polarization mode dispersion(PMD) is considered to be the ultimate limitation in high-speed optical fiber communication systems. Establishing an effective control algorithm for adaptive PMD compensation is a challengi...Polarization mode dispersion(PMD) is considered to be the ultimate limitation in high-speed optical fiber communication systems. Establishing an effective control algorithm for adaptive PMD compensation is a challenging task, because PMD possesses the time-varying and statistical properties. The particle swarm optimization(PSO) algorithm is introduced into self-adaptive PMD compensation as feedback control algorithm. The experiment results show that PSO-based control algorithm has some unique features of rapid convergence to the global optimum without being trapped in local sub-optima and good robustness to noise in the optical fiber transmission line that has never been achieved in PMD compensation before.展开更多
文摘在高密度蜂窝车联网(cellular vehicle-to-everything,C-V2X)中,群集通信终端的有效阵列接入方法是多业务性能保障和有限频谱效率提升的前提。利用蜂窝车联网中终端计算能力,提出了信道自适应的业务接入机制。该机制由基站估计当前区域通信密度,生成通信密度关联的接入类别限制(access class barring,ACB)因子,并在通信区域内广播;随后,车载通信终端根据接收基站广播信号的信干噪比(signal to interference plus noise ratio,SINR)和ACB因子计算自适应信道状态的接入概率,并比较接入概率和ACB因子。当接入概率大于ACB因子时,通信终端以最小接入概率从前导码池中随机选择一个前导码上传到基站,以获得与信道状态匹配的接入机会。仿真结果表明,在高密度通信状态下,与S-ALOHA协议和M2M-OSA方案相比,所提方案平均接入碰撞概率降低了约5%~20%,有效地减小了平均接入时延。
文摘Swarm intelligence inspired by the social behavior of ants boasts a number of attractive features, including adaptation, robustness and distributed, decentralized nature, which are well suited for routing in modern communication networks. This paper describes an adaptive swarm-based routing algorithm that increases convergence speed, reduces routing instabilities and oscillations by using a novel variation of reinforcement learning and a technique called momentum.Experiment on the dynamic network showed that adaptive swarm-based routing learns the optimum routing in terms of convergence speed and average packet latency.
基金National Natural Science Foundation of China(60577046) Cooperation Building Project of Beijing EducationCommittee(XK100130437)
文摘Polarization mode dispersion(PMD) is considered to be the ultimate limitation in high-speed optical fiber communication systems. Establishing an effective control algorithm for adaptive PMD compensation is a challenging task, because PMD possesses the time-varying and statistical properties. The particle swarm optimization(PSO) algorithm is introduced into self-adaptive PMD compensation as feedback control algorithm. The experiment results show that PSO-based control algorithm has some unique features of rapid convergence to the global optimum without being trapped in local sub-optima and good robustness to noise in the optical fiber transmission line that has never been achieved in PMD compensation before.
