Non-orthogonal multiple access and beamforming for relay network with RF energy harvesting

Abstract Downlink multi-user non-orthogonal multiple access (NOMA) relay systems, that are wirelessly powered by harvesting energy from radio frequency, are taken into consideration. To enhance the performance of the NOMA multiuser systems, the base station (BS) is equipped with multiple antennas to make a beamforming for transmitting information signal and energy. The close-form outage probability expressions of proposed system over Rayleigh fading channels are derived and the analytical analysis is verified by computer simulations.

[1]  H. Vincent Poor,et al.  MIMO Energy Harvesting in Full-Duplex Multi-User Networks , 2017, IEEE Transactions on Wireless Communications.

[2]  Caijun Zhong,et al.  Throughput Analysis and Optimization of Wireless-Powered Multiple Antenna Full-Duplex Relay Systems , 2016, IEEE Transactions on Communications.

[3]  Ali A. Nasir,et al.  Relaying Protocols for Wireless Energy Harvesting and Information Processing , 2012, IEEE Transactions on Wireless Communications.

[4]  Ying Wang,et al.  Transceiver design for cooperative non-orthogonal multiple access systems with wireless energy transfer , 2016, IET Commun..

[5]  Xiaoming Chen,et al.  Energy-efficient optimisation for secrecy wireless information and power transfer in massive MIMO relaying systems , 2017, IET Commun..

[6]  I. S. Gradshteyn,et al.  Table of Integrals, Series, and Products , 1976 .

[7]  H. Vincent Poor,et al.  Cooperative Non-orthogonal Multiple Access With Simultaneous Wireless Information and Power Transfer , 2015, IEEE Journal on Selected Areas in Communications.

[8]  Tran Trung Duy,et al.  On the performance of non-linear wirelessly powered partial relay selection networks over Rayleigh fading channels , 2016, 2016 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS).

[9]  Yun Shi,et al.  Design of incentive scheme using contract theory in energy-harvesting enabled sensor networks , 2018, Phys. Commun..

[10]  Athanasios Papoulis,et al.  Probability, Random Variables and Stochastic Processes , 1965 .