Using Physical Layer Network Coding to Improve NOMA System Throughput with Energy Harvesting Users

The aim of this paper is to improve the performance of an energy harvesting (EH) system under millimeter wave (mm-wave) massive MIMO (Multiple Input Multiple Output) structure, as beneficial incorporation in beyond 5G. We consider a power splitting structure for this EH system, which has the best trade-off between transferred energy and data rate. However, it is shown that in such systems the use of Successive Interference Cancellation (SIC) method alone, the minimum probability of error requirements for the systems with more users than Radio Frequency (RF) chains may not be attained. Therefore, new schemes with control strategies over intra-beam interference to achieve an acceptable symbol error rate (SER) for multiple users in the same beam is still a vacancy to be studied in particular for the dense 5G networks. The proposed EH system is using a new Superposition Code (SC) based on Physical Layer Network Coding (PLNC) concept to dramatically improve the throughput and harvested energy for a specific signal to noise ratio (SNR). As the second goal, two beamforming optimization approaches are also suggested. The simulations result indicates that the uniform beamforming performance is acceptable if avoiding the high complexity is desired.