Layer division multiplexing for 5G DL transmission within ultra-dense heterogeneous networks.

To date, the main focus of the wireless network has been considered human-centric end-use. Fifth-generation (5G) wireless technology is now evolving towards the era, where the focus is on large scale machine-type communication. 5G \u0026 beyond wireless networks are focused on enabling their new forms of usage of wireless connectivity, which are expected to deliver a large number of new applications \u0026 services into reality. This will result in a massive increment in terms of the number of users and heterogeneous service requirements. While providing such new applications and services, it is expected to ensure optimal utilization of resources. The challenges to be addressed to attain optimal resource utilization includes meeting heterogeneous capacity requirement to serve a massive number of devices with limited spectrum. The work presented in this paper is focused on exploring the possibility of layer division multiplexing (LDM) as a potential tool to resolve these challenges. While analysing the feasibility of LDM for 5G downlink transmission framework, we have considered unicast \u0026 multicast transmission scenarios. This paper presents an analytical framework to define the performance bounds of LDM in the context of 5G downlink transmission. The robustness of our analytical model has been validated with simulation results of LDM. We also have considered specific urban \u0026 rural use-case scenarios for 5G with LDM downlink transmission. Our analytical results suggest LDM core layer transmission is one of the strongest candidates for massive machine-type communication (mMTC) within 5G networks to attain enhanced coverage range compared to its existing counterpart.