Optimum Fairness for Non-Orthogonal Multiple Access

01/25/2018
by   Ting Qi, et al.
0

This paper focuses on the fairness issue in non-orthogonal multiple access (NOMA) and investigates the optimization problem that maximizes the worst user's achievable rate. Unlike previous studies, we derive a closed-form expression for the optimal value and solution, which are related to Perron-Frobenius eigenvalue and eigenvector of a defined positive matrix. On this basis, we propose an iterative algorithm to compute the optimal solution, which has linear convergence and requires only about half iterations of the classical bisection method.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/07/2018

User Fairness Non-orthogonal Multiple Access (NOMA) for 5G Millimeter-Wave Communications with Analog Beamforming

The integration of non-orthogonal multiple access in millimeter-Wave com...
research
01/15/2018

Power Control for Harmonic Utility in Non-Orthogonal Multiple Access based Visible Light Communications

Visible light communication is a promising technique in future networks ...
research
10/30/2019

Block Error Performance of NOMA with HARQ-CC in Finite Blocklength

This paper investigates the performance of a two-user downlink non-ortho...
research
04/26/2020

Improved User Fairness in Decode-Forward Relaying Non-orthogonal Multiple Access Schemes with Imperfect SIC

Non-orthogonal multiple access (NOMA) is one of the key technologies to ...
research
12/30/2018

Optimal User Pairing for Achieving Rate Fairness in Downlink NOMA Networks

In this paper, a downlink non-orthogonal multiple access (NOMA) network ...
research
01/13/2018

Sparse NOMA: A Closed-Form Characterization

Understanding fundamental limits of the various technologies suggested f...
research
11/22/2020

A Novel NOMA Solution with RIS Partitioning

Reconfigurable intelligent surface (RIS) empowered communications with n...

Please sign up or login with your details

Forgot password? Click here to reset