This paper aims to study the possibility of deployment of free-space optical communication (FSOC) links in India. We have focused on different locations of India for investigating the feasibility of the FSOC link, and it includes the coastal and inland locations, representing the major commercial areas of India. The atmospheric data related to daily visibilities and wind speeds, over 5 years, along with altitude of locations have been studied to calculate the scattering and turbulent losses. The losses due to scattering and turbulence are further added to find the total atmospheric losses for all locations. The atmospheric losses are maximum for the coastal location of Mumbai, and the inland location of Chandigarh has recorded minimum atmospheric losses. We have calculated maximum achievable link ranges for different locations mathematically by using the power link margin equation and atmospheric losses. Further, the results have revealed that the longest FSOC link of an optimal range of 3.24 km can be deployed in Chandigarh, while Mumbai has the shortest FSOC link of range 1.76 km under the average atmospheric conditions. Additionally, we have designed an FSOC system using Optisystem 13.0 software and analyzed the system performance for different locations of India by incorporating the atmospheric losses of different locations. Furthermore, we have verified the results of the mathematical and simulation model. The maximum achievable link ranges calculated by using the mathematical and simulation model have demonstrated close similarity with an average percentage error of 2.42% only.

本文旨在研究在印度部署自由空间光通信 (FSOC) 链路的可能性。我们重点研究了印度不同地区的 FSOC 链接的可行性，其中包括沿海和内陆地区，代表了印度的主要商业区域。已经研究了与日常能见度和风速相关的大气数据，超过 5 年，以及位置的高度，以计算散射和湍流损失。进一步添加由于散射和湍流造成的损失，以找到所有位置的总大气损失。孟买沿海地区的大气损失最大，昌迪加尔内陆地区的大气损失最小。我们通过使用电力链路裕度方程和大气损耗，以数学方式计算了不同位置的最大可实现链路范围。此外，结果表明，在平均大气条件下，可以在昌迪加尔部署最佳射程为 3.24 公里的最长 FSOC 链路，而孟买的最短 FSOC 链路为 1.76 公里。此外，我们使用 Optisystem 13.0 软件设计了 FSOC 系统，并通过结合不同地点的大气损失来分析印度不同地点的系统性能。此外，我们已经验证了数学和仿真模型的结果。使用数学和仿真模型计算的最大可实现链接范围显示出非常相似，平均百分比误差仅为 2.42%。