Priority Based Scheduling for Energy Efficient Power Allocation in MIMO-NOMA System with Multiple Users

Abstract

Enhancing the efficiency of power allocation and the achievable sum rate of Multiple Input Multiple Output (MIMO) based multiuser systems are essential as conventional methods are very complex. The traditional methods are not only less efficient but also do not address user fairness. The existing conventional methods use simple user ordering schemes that remain unsuitable for MIMO Non-Orthogonal Multiple Access (NOMA) system. Accordingly, a new elegant propose method using Particle Swarm Optimization (PSO) algorithm based priority scheduling in power allocation (PPPA) prioritizes the users based on the maximum power and QoS constraints. The proposed method offers a capable platform that will also provide energy efficiency in power allocation. The prioritybased scheduling based on PSO algorithm that prioritizes the users optimally based on objective function, and it is effective due to faster convergence and adaptive nature of the algorithm. The proposed method for power allocation compared with the existing methods using the number of admitted users in the system. We observed that the energy efficiency and achievable rate is found to be superior by 6.76% and 58.37 Mbits/sec. Thus our proposed method not only provides better energy efficiency but also has a profound improvement in data rate.

Energy‐aware power allocation using Ladybug Beetle Honey Badger Optimization in multiple‐input multiple‐output‐non‐orthogonal multiple access with multiple users

“…Moreover, analysis is carried out by changing SNR and number of users. The LBHBO_PA is compared with many other methods like NGDPA, 18 GRPA, 21 Max-EE, 20 PPPA, 22 Salp Particle Swarm Optimization for Power allocation (SPPA), 30 and Fractional Salp Particle Swarm Optimization (FSPSO) algorithm. 12 T A B L E 1 Simulation parameters.…”

“…In the proposed method, the clustering is done by FLICM, which enhances the robustness. Khaleelahmed and Venkateswararao 22 evaluated particle swarm optimization (PSO) algorithm‐based priority scheduling in PA (PPPA) that prioritized users depending on QoS constraints and maximal power. Here, the capable platform was evaluated to provide EE in PA.…”

MIMO Radar Array Antenna with Transmit-Receive Subarrays

“…Unlike the PA radar, the multi-input multi-output (MIMO) radar has omnidirectional transmission by all transmit (Tx) elements, which are orthogonal to each other so as to produce high waveform diversity gain [3,4]. If these waveforms are perfectly orthogonal [5], they increase the channel capacity of the communication system [6] and provide efficient power allocation [7].…”