Wireless networks of the future are expected to enable ubiquitous connection to a wide range of devices with a diverse range of traffic patterns, wherever and whenever they are required. UAV-assisted wireless communication systems can give a unique chance to cater to such needs in a timely manner without relying on the over engineered cellular network, which is important for increasing resilience against faults, natural catastrophes, and unanticipated traffic, among other things. When it comes to UAV-assisted communication, the capacity, coverage, and energy efficiency of the system are regarded as being of the utmost significance.
The scenario of Non-Orthogonal Multiple Access (NOMA) for airborne Base Stations (BS) is studied in this report. To determine the viability of NOMA, it is necessary to formulate the sum-rate issue, which is a function of power allocation and altitude. The optimization problem is constrained to meet individual user-rates arisen by Orthogonal Multiple Access (OMA) bringing it at par with NOMA. The relationship between transmission power and capacity of a UAV serves as an inspiration for the solution to the aforementioned problem, which takes into account two cases, namely, optimization for minimum consumption transmission power and capacity maximization of the NOMAUAV communication system.
The report formulated joint optimization of altitude, power allocation and user-paring for NOMA. User paring is a non-convex problem which is not trivial to solve. Particularly, the problem of user pairing is solved using heuristic techniques such as Genetic Algorithm (GA) and Partial Swarm Optimization (PSO), where altitude optimization is done using fmincon of Matlab to solve the aforementioned problems. The result for various environmental scenarios such as sub-urban, urban and dense urban to conclude that NOMA exhibits better performance in terms of user pairing, coverage, and power efficiency.