In this paper, we present the delay-constrained performance analysis of a multi-antenna-assisted multiuser nonorthogonal multiple access (NOMA) based spectrum sharing system over Rayleigh fading channels. We derive analytical expressions for the sum effective rate (ER) for the downlink NOMA system under a peak interference constraint. In particular, we show the effect of the availability of different levels of channel state information (instantaneous and statistical) on the system performance. We also show the effect of different parameters of interest, including the peak tolerable interference power, the delay exponent, the number of antennas and the number of users, on the sum ER of the system under consideration. An excellent agreement between simulation and theoretical results confirms the accuracy of the analysis.
I. INTRODUCTIONW ITH an explosive growth in the number of wireless communication devices and users, along with an unprecedented growth in internet traffic, one of the major challenges for the development of beyond-fifth-generation (B5G) systems is to accommodate a massive number of devices into a congested spectrum. Moreover, with the development of new wireless services, there is a new wave of applications which are extremely delay sensitive. Such applications include live video streaming, online gaming, vehicle-to-everything (V2X) communications and tactile Internet. NOMA and spectrum sharing are two major technologies that can mitigate the problem of spectrum scarcity while also providing massive connectivity with low latency. It is well-known that NOMA facilitates spectrum sharing and can also enhance the secrecy performance of unmanned aerial vehicle (UAV) aided simultaneous wireless information and power transfer (SWIPT) [1] as well as that of the primary/licensed network [2].The average achievable rate is one of the commonly used metrics to evaluate the performance of a wireless communication system. However, it is important to note that this metric is based on Shannon's channel capacity formula, which does not take into account the queuing delay at the transmitter. In order to quantify the delay-constrained performance of a wireless communications system, the concept of effective rate (also known as effective capacity 1 or link-layer capacity)