Performance analysis of energy harvested Noma-enabled heterogeneous networks

Abstract

The 5G wireless network, which has been introduced in the market in recent times, offers the potential to enhance network performance and establish seamless connectivity across various locations. Nevertheless, the advent of numerous emerging applications such as extended reality, telepresence, telesurgery, and autonomous driving demands high connectivity while also upholding the associated reliability standards. Paired with a significant increase in the quantity of smart devices and the Internet of Things (IoT), these demands are projected to saturate the 5G network in the future. As a result, the research community has been spurred to explore advancements beyond the scope of 5G wireless technology. In order to facilitate high data speeds and accommodate extensive connectivity within restricted spectrum resources, it is imperative to explore sophisticated multiple access technologies designed for the forthcoming generation of wireless systems. The concept of non-orthogonal multiple access (NOMA) has captured substantial attention and exhibited immense potential in bolstering connectivity and augmenting capacity. By exploiting the signal superposition at transmitters and the successive interference cancellation (SIC) at receivers, NOMA enables users served by the same time/frequency/space/code resource block to be further multiplexed and distinguished in the power domain. Hence, it can dramatically enhance the network capacity and user connections, as well as reducing the outage probability. Furthermore, rapidly increased users and huge data demands has lead to the conventional network comprising of only macro base station (MBS) tier to shift toward more practical heterogeneous cellular networks (HetNets). The HetNets comprises of the MBS tier deployed with small BSs, e.g., femto base station (FBS) tier, to aid the MBS tier, especially in the overcrowded areas such as shopping malls, sports venues, airports, and others. In parallel, to achieve the vision of a green communication system, simultaneous wireless information and power transfer (SWIPT) is a new paradigm in wireless networks that provides simultaneous energy harvesting and information transmission. This thesis provides a systematic treatment of this newly emerging technology, from the basic principles of NOMA, to its combination with SWIPT and HetNets, to achieve improved spectral efficiency, energy efficiency and reliability.