ed by QoE/QoS of different applications-in terms of latency, privacy, data rate, accuracy, and robustness requirements. LDM upper and lower layers can address these heterogeneous requirements as UL offers higher accuracy and robustness with lower latency; in contrast, LL can ensure better privacy and a higher data rate. In this chapter, we are looking into a downlink transmission scenario for IoT and users. Moreover, the impact of mobility on the formation and termination of IoT pairs will be explained. A way to calculate LDM link sustainability for combining different mobility models of both receivers is developed and explained. This chapter aims to give readers an insight into the LDM's applicability in future wireless communication. The remainder of the chapter is structured as follows: key works in LDM for broadcasting and 5G wireless communication are discussed in Sect. 9.2. The use case scenario of this transmission system is described in Sect. 9.3. The system model is described for the downlink communication scenario in Sect. 9.4. An analytical framework for LDM performance evaluation is presented in Sect. 9.5. The device mobility model and its impact on the LDM pair is discussed in Sect. 9.6. Section 9.7 describes our findings and relevant analysis. Moreover, the outcome is summarized in the final Sect. 9.8. 9.2 Literature Review LDM is a power-based NOMA technology that was introduced in cloud transmis- sion (a flexible multilayer system that uses spectrum overlay technology to deliver multiple program streams simultaneously) [6] in 2012. Later, LDM was accepted for use in the physical layer design of advanced television systems committee 9 Feasibility of LDM to Serve User-IoT Pairs in the Future Wireless Network (ATSC) 3.0 due to its higher degree of flexibility and performance advantages over existing orthogonal multiple access (OMA) techniques [7]. LDM can combine various services in a single radio frequency (RF) channel to support multiple user applications using the same traffic channel. Since adapt