In this paper, we study the problem of optimal beamforming for non-orthogonal multiple-access (NOMA) wireless relay networks. For a two-hop wireless relay network that consists of a NOMA broadcasting channel and a Gaussian interference channel, we propose a novel algorithm that efficiently obtains beamforming vectors for maximizing the end-to-end sum rate. We first classifies NOMA wireless relay networks into two classes based on the channel coefficients. For a wireless relay network that belongs to the first class, we use the maximal-ratio transmission (MRT) technique to obtain an optimal set of beamforming vectors. On the other hand, for a wireless relay network that belongs to the second class, we transform the non-convex optimal beamforming problem into a semidefinite programming (SDP) problem and then solve it. Simulation results show that the proposed approach significantly outperforms a number of alternative schemes such as the random-phase beamforming scheme, the maximal-ratio transmission scheme, and the zero-forcing beamforming scheme.


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    Title :

    Classification-based Optimal Beamforming for NOMA Wireless Relay Networks


    Contributors:


    Publication date :

    2021-04-01


    Size :

    2117360 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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