Paper has been proposed the design of non-mapping code in spectral and spatial domain with variable weight coding system and new hybrid concept of OFDM–SAC OCDMA was also explored in spectral and spatial domain. The one dimensional non mapping coding system has been extended in spectral as well as in spatial domain. Extension of code in two dimensional domains enlarges the performance, in comparison to the existing systems. The performance of system is justified by measuring the bit error rate of system against the optical system parameters. The BER is affected by varying the numbers of subscriber, data rate and power requirement for the system. The BER performance was evaluated with above mention parameters and system shows the better performance as compared to reported methods 2D-DPD, 2D-MD and 1D-Non mapping code. The users accommodation in system is higher than the 2D-DPD, 2D-MD and 1D-Non mapping code. The suggested system supports the 201% and 146% users as compared to the published methods 2D-DPD and 2D-MD Code at10⁻¹² BER and similarly the power requirement at optimum BER is very low and system sustainability at high date rate also increases as compare to the existing schemes. The required received power for system is-12.8 dBm at 10^–12 BER, which is lower as compared to the 2D-DPD and 2D-MD Codes. The system performance was determined with the variation in weights in spectral and spatial dimension. The outputs observation for hybrid of OFDM with spectral/spatial OCDMA also executed where proposed system outputs effectively improve.

论文提出了具有可变权重编码系统的频谱和空间域中的非映射码设计，并且还在频谱和空间域中探索了 OFDM-SAC OCDMA 的新混合概念。一维非映射编码系统已经在频谱以及空间域中进行了扩展。与现有系统相比，二维域中的代码扩展提高了性能。通过测量系统的误码率与光学系统参数来衡量系统的性能。BER 受用户数量、数据速率和系统功率要求的影响。BER 性能使用上述参数进行评估，与报告的方法 2D-DPD、2D-MD 和 1D-Non 映射代码相比，系统显示出更好的性能。用户在系统中的适应度高于2D-DPD、2D-MD和1D-Non映射码。与已发布的方法 2D-DPD 和 2D-​​MD Code at10 相比，建议的系统支持 201% 和 146% 的用户^-12 BER 和类似地，最佳 BER 下的功率要求非常低，与现有方案相比，高数据速率下的系统可持续性也增加。系统所需的接收功率在 10 ^–12 BER 时为 -12.8 dBm，与 2D-DPD 和 2D-​​MD 码相比较低。系统性能由光谱和空间维度权重的变化决定。OFDM 与频谱/空间 OCDMA 混合的输出观察也在建议的系统输出有效改善的情况下执行。