bility management for LDM pairs is crucial for the successful broader implementation of LDM in the future wireless network. The following section describes the usage scenario where such user IoT pairing would be needed. Both urban and rural scenarios showing the usage model are presented. The focus is mainly on the IoT usages as these are the expected new inclusion in future wireless communication. 9.3 Use Case Scenario of LDM in Future Wireless Network Our system model focuses on heavy downlink communication for IoT and users [14]. It is widely assumed within the predecessor communication technologies that IoT communication does not require much downlink data. However, the future usage models are expected to demand more uplink and downlink data transmission M. S. Islam et al. for both users and IoT devices. This section aims to describe a few such future transmission scenarios where our proposed system model can be of use to support such transmission. We have considered both urban and rural scenarios for such possible heavy downlink transmission dependency for mMTC communication. These possible usages scenarios justify our downlink heavy transmission model for IoT communication. 9.3.1 Urban Use Case Scenario for IoT Downlink Communication The urban areas are expected to be high device density areas. Figure 9.1 depicts a transmission scenario for the downlink communication requirements for autonomous vehicle systems and cloud-controlled drones in the future city context. Small cell or picocells are expected to adopt in urban cellular infrastructure. Hence, a transmitter is expected to take advantage of existing urban structures such as radioheads installed on the lamppost, as shown in Fig. 9.1 [15]. Alongside the massive number of IoT devices attached to users, such as smartwatches and other devices, cloud control drones and autonomous vehicle systems will add to the total number of IoT users in future cities. The drones in Fig. 9.1 are controlled from a central cloud location, requiring constant control informat