ing LDM into ATSC 3.0 physical layer design, much work has been done on finding the LDM's performance for the downlink broadcast transmission. Reference [8], for example, investigated this performance trade-off between UL and LL where capacity and coverage performance of LL at the cost of that of UL is shown for ATSC 3.0. Their work shows a better performance of LDM compared with time-division multiplexing (TDM) and frequency-division multiplexing (FDM). Reference [9] proposed a multiple physical layer pipe (M-PLP) configuration based on multilayer LDM and performed a capacity analysis of this configuration to determine the lower capacity bound (approximately 1 Mbps) of UL. In [10] the authors showed that LDM UL provides higher channel capacity than TDM/FDM at a low signal-to-noise ratio (SNR), and LL can do the same at high SNR conditions. Due to increased capacity gain over TDM and FDM, LDM is gaining interest in 5G deployment. Many have investigated the possibility of using LDM in point to multipoint (P2MP) and broadcasting transmission in 5G wireless communication. Both [11, 12] investigated the capacity improvement of LDM over OMA techniques for providing multimedia services in 5G and found that LDM offers higher channel capacity. On the other hand, in [13] higher network throughput is achieved by using LDM for a unicast- broadcast convergence. These works show that LDM can serve heterogeneous devices and increase network capacity. Most of the works on LDM are focused on exploiting its advantages for broadcast multimedia transmission; these works motivated us to look for other use cases where LDM can be successful. In our previous work [14], we proposed a system model that uses LDM to take advantage of the heterogeneity requirements of user and IoT devices. Our analysis showed that LDM increased capacity is achieved only at higher SNR for both UL and LL. Due to this higher SNR requirement, the impact of the rapid changes in the channel condition arising from the mobility needs to be determined. Therefore, mo