基于高斯噪声模型的光纤通信系统离散速率优化

针对调制解调器的复杂度增加和信道比特率分配问题,提出用于求解光纤通信系统的离散速率的容量优化问题的启发式方法,能够最大限度降低求解该问题所需的调用次数。在实时系统中,使用该方法进行优化能够最小化离散速率分配,同时抽取出额外的离散系统容量。实验结果表明,在50 Gbaud的典型点对点链路中,当速率步长为50 Gbit/s时,使用离散速率优化方法能够将每个调制解调器的平均丢失容量从使用截断法时的24.5 Gbits降低到7.95 Gbit/s;当速率步长为25 Gbit/s时,平均丢失容量则从12.3 Gbit/s降低到2.07 Gbit/s。

DISCRETE RATE OPTIMIZATION OF OPTICAL FIBER COMMUNICATION SYSTEM BASED ON GAUSS NOISE MODEL

To solve the problem of increasing complexity of modem and bit rate allocation in channel,we propose a heuristic method for capacity optimization of discrete rate in optical fiber communication system,which can minimize the number of calls required to solve the problem.In the real-time system,the method can minimize the discrete rate allocation and extract the extra capacity of the discrete system.The experimental results show that in a typical point-to-point link of 50 Gbaud,when the rate step is 50 Gbit/s,the average loss capacity of each modem can be reduced from 24.5 Gbit/s using truncation to 7.95 Gbit/s.When the rate step is 25 Gbit/s,the average loss capacity decreases from 12.3 Gbit/s to 2.07 Gbit/s.