Optimization Techniques in Engineering

10Bioinspired MOPSO-Based Power Allocation for Energy Efficiency and Spectral Efficiency Trade-Off in Downlink NOMA

Jyotirmayee Subudhi^* and P. Indumathi

Department of Electronics Engineering, MIT campus, Anna University, Chennai, India

Abstract

For its excellent spectrum efficiency, nonorthogonal multiple access (NOMA) has lately been examined as a viable radio access technique for 5G mobile communication. Green radio (GR), which concentrates on energy efficiency (EE), is quickly gaining a popular trend. We have regarded the advantage of NOMA for multiuser downlink 5G networks, where spectral efficiency (SE) is the metric which demonstrates how many information bits can be delivered within a unit of time and system bandwidth and energy efficiency (EE) is represented as the ratio of achievable sum rate and overall power consumption of the system which contains circuit power and transmission power. As there being a nontrivial trade-off between the EE and SE, it should be considered while developing resource allocation algorithms in communication systems. Motivated by this issue, we have focused on the downlink NOMA network in this paper, where the base station operates multiuser deployed randomly. The primary goal of this research is to increase energy efficiency while keeping a minimal SE need that is sustainable. The joint user clustering and multiobjective particle swarm optimization (MOPSO) method have been suggested for downlink NOMA by reaching the Pareto optimal solution ...