2024, Vol. 5, Issue 1, Part B

The 5G cellular technology has increased demand for high data rates, necessitating the use of greater base station (BS) power and bandwidth. However, these resources' accessibility

are often restricted. Lack of accessible channel restricts user space within the cell, and higher power usage overloads the battery supply (BS) and releases CO2 gas, which is harmful to both human health and the environment. Thus, the creation of a nonorthogonal multiple access (NOMA) system that is energy-efficient is a pressing necessity. Thus, we present in this paper a user fairness-based power allocation strategy along with a channel assignment technique for NOMA cellular networks, where the goal is to maximize overall energy efficiency (EE) while meeting the minimum required data rate within the base station's limited power budget.

Additionally, we explicitly consider the order limits on the user capabilities on each channel, which are frequently disregarded in the literature and demonstrate their substantial influence on SIC in NOMA systems. Additionally, we suggest combining the matching algorithm with the ideal power allocation to provide a low-complexity, effective way to simultaneously optimize channel assignment and power allocation in NOMA systems. Furthermore, we have identified the conditions that need to be satisfied in order for the distributed power optimization approach to be approved as a feasible resolution for the joint power optimization problem. As a result, the outcomes were split into two stages. Step 1 involved taking three network sizes (2*4, 3*6, and 4*8) and determining the best point (Weighted Rate) for each algorithm based on each element (Total Power, Fairing Index, Total Rate, and Energy Efficiency). It was then determined that the algorithms to which the technique was applied are optimization algorithms (GA, GWO, and WOA). Therefore, after applying the technology to multiple algorithms, the algorithm (GWO) was superior to other algorithms based on the reduction in capacity consumption, equal distribution to all users, high productivity, and finally the good efficiency of the technology.