e use of cells with large coverage areas. This large cellular coverage area will make the user IoT pair more sustainable even when both receiving devices are mobile. However, the design of LL will be more critical to the extensive coverage area and hence will be more susceptible to channel conditions. However, the slow nature of changes in rural areas makes for better channel prediction. Hence, the UL and LL can serve these IoT and user combinations in such scenarios. A physical layer transceiver framework that adopts LDM within a standard OFDM model is described next. The model is for a two-layer LDM transmission where UL serves the IoT devices, and the LL is used to serve the user. Transceiver Framework Adopting LDM We have proposed the integration of LDM within an OFDM system as shown in Fig. 9.3. We are focusing on benchmarking the performance of LDM layers within an OFDM framework and, for that purpose, have not included any error- correcting code in our proposed model. Like any communication model, the system is described as per transmitter, channel, and receiver. Transmitter Upper Layer Modulation Superposition Processing Lower Layer Data Modulation Channel Receiver Upper Layer Upper Layer demodulation Detection De-Processing modulation Substraction Lower Layer demodulation Fig. 9.3 OFDM transmission framework with LDM adaptation 9 Feasibility of LDM to Serve User-IoT Pairs in the Future Wireless Network 9.4.1 Transmitter Framework with LDM Superposition The processing of both UL and LL data is done in parallel at the transmitter end, as shown in Fig. 9.3. Both layers can have different transmission bit rate with different quadrature amplitude modulation (QAM) modulation scale M. The UL will have a lower bit rate hence a lower M, and the opposite is assumed for the LL. However, M is chosen in a way that will result in an equal number of UL and LL QAM symbols. LDM superposition is done in the next step, resulting in the same number of LDM symbols. The power of the LL symbol is reduced during the superpositi