ion from the cloud depicting high downlink communication dependency. Autonomous vehicles also have a heavy downlink dependency as they also require continuous traffic and control information from the cloud to navigate the urban streets[16]. Most of Cloud Controlled Drone 5G Transmitter Fig. 9.1 Downlink transmission model for IoT devices in urban area 9 Feasibility of LDM to Serve User-IoT Pairs in the Future Wireless Network these communications are expected to be real-time communication; hence, they require ultrareliable low-latency communication[17]. As the number of users and IoT devices are expected to multiply significantly, future wireless networks need to achieve the capability to manage such a high number of connections. Due to the similarities of payload information in most of the associated machine-type devices, any IoT device can be paired with a suitable user device. In this configuration, the UL layer is suitable for all IoT devices due to its robustness and lower latency. 9.3.2 Rural Use Case Scenario for IoT Downlink Communication The application of IoT in the rural scenario is different from that of the urban scenario depicted in the earlier section. Many future farming and agriculture systems will be controlled and monitored by IoT sensors, and cloud-controlled drones can be useful for surveillance, as shown in Fig. 9.2. The drones need real-time control information as described in urban scenarios; sensors also have significant use for future rural applications, for example, to monitor water flow and assess stored food conditions and different agriculture-related monitoring. These devices can serve multiple services based on the requirement and are expected to be self- reconfigurable upon receiving control information from the clouds. Subsequently, Cloud Controlled Drone Transmitter loT Module Fig. 9.2 Downlink transmission model for IoT devices in rural area M. S. Islam et al. these devices require a heavy downlink transmission. One major change in the network configuration of rural areas is th