Energy-aware Power Allocation approach using hybrid optimization in MIMO-NOMA with Multiple Users

Abstract

Normally, power allocation is a technique, which is used to supply the power to user with various antennas. Power-domain Non-Orthogonal Multiple Access (NOMA) has been broadly deliberated as a research topic in next generation of wireless communication schemes. NOMA multiplexes the numerous users by applying the Successive Interference Cancellation (SIC) at the transmitter as well as receiver. NOMA has several advantages in terms of ergodic sum rates, achievable rate and sum rate. However, the power allocation in NOMA failed to consider the Multiple-Input Multiple-Output (MIMO) channel. Hence, this research considers the MIMO-NOMA with multiple users for establishing the energy aware power allocation using hybridized optimization algorithm, namely African Vulture Lion Optimization Algorithm (AVLO). Here, the devised AVLO is modeled by incorporating the advantage of African Vulture Optimization algorithm (AVOA) and Lion Optimization algorithm (LOA). Moreover, the analysis is carried out by validating its efficiency based on sum rate, energy efficiency and achievable rate. Here, the invented AVLO scheme attained the better sum rate, energy efficiency and achievable rate of 131723.7Mbps, 0.166 MbpJ and 5.987 Mbps. corresponding.