Magnetic border collie optimization-based power allocation in MIMO-NOMA-aided visible light communication system

Visible light communication (VLC), in recent times, has drawn the attention of researchers owing to the availability of unlicensed spectrum, high bandwidth and low power consumption. Various approaches for allocation of power are already developed for the MIMO-NOMA-based radio frequency systems namely signal alignment, post detection, and hybrid precoding. However, these traditional techniques result into high computational complexity and cannot be directly applied to a VLC system, and hence, an effective power allocation approach with less computational complexity is an essential requirement of VLC system. In this paper, an effective power allocation scheme is presented which employs channel weighted optimal coefficients utilized in GRPA and NGDPA schemes. The optimal values of the weighted coefficients are estimated using the proposed MBCO algorithm. This MBCO algorithm is outlined by integrating the MOA (magnetic optimization algorithm) with border collie optimization (BCO) method, respectively. The performance obtained by the proposed W-GRPA-based MBCO and W-NGDPA-based MBCO in terms of achievable rate is 34.916Mbit/s and 83.811Mbit/s and in terms of sum rate is 197.63Mbit/s and 200.98Mbit/s, respectively. Simulation results clearly depict that when compared with the existing state-of-the-art schemes, the proposed power allocation method outperforms the existing popular GRPA and NGDPA schemes.