In this paper, the performance of smart city network infrastructure is studied using space shift keying (SSK) modulation and radio-frequency (RF) based energy harvesting with cooperative amplify-and-forward (AF) and decode-and-forward (DF) relaying. Here, the Wireless-enabled sites can communicate data to the control unit via the access point (AP). The sites function by utilizing an energy-saving mechanism, which leads to a notable improvement in spectral efficiency. The Markov chain considers the number of active sites in the network dynamically. Moreover, energy harvesting-assisted AP helps overcome the rising demands of the city by providing an enhanced data rate, low latency, shorter coverage, widespread connectivity of the massive number of sites, and energy efficiency. The channel between sites to the AP is Nakagami-m distributed, whereas the AP is connected with the control unit through the free space optical (FSO) link. The FSO link is modelled with Gamma–Gamma distribution with pointing error impairments. The mathematical equations for average bit error probability (ABEP) are obtained for smart cities by considering mixed channels and utilizing the multi-user selection combination. The Monte Carlo simulation technique verifies the accuracy of the numerical results. According to the findings, using SSK modulation in combination with energy harvesting strategies can enhance the effectiveness of smart cities.

本文使用空移键控 (SSK) 调制和基于射频 (RF) 的能量收集以及协作放大转发 (AF) 和解码转发 (DF) 来研究智能城市网络基础设施的性能中继。在这里，支持无线的站点可以通过接入点 (AP) 将数据传送到控制单元。这些站点利用节能机制运行，从而显着提高了频谱效率。马尔可夫链动态地考虑网络中活动站点的数量。此外，能量收集辅助接入点通过提供更高的数据速率、低延迟、更短的覆盖范围、大量站点的广泛连接和能源效率，有助于满足城市不断增长的需求。站点之间到 AP 的通道是 Nakagami-m 分布式的，而 AP 通过自由空间光 (FSO) 链路与控制单元连接。FSO 链路采用具有指向误差损伤的 Gamma-Gamma 分布进行建模。通过考虑混合信道并利用多用户选择组合，获得了智慧城市的平均误码概率（ABEP）的数学方程。蒙特卡罗模拟技术验证了数值结果的准确性。研究结果表明，将 SSK 调制与能量收集策略相结合可以提高智慧城市的效率。