Globally optimal joint uplink base station association and power control for max-min fairness

Abstract

In a heterogeneous network (HetNet) with a large number of low power base stations (BSs), proper user-BS association and power control is crucial to achieving desirable system performance. In this paper, we consider the joint BS association and power allocation problem for an uplink cellular network under the max-min fairness criterion. We first present a binary search method whereby a QoS (Quality of Service) constrained subproblem is solved at each step. Then, we propose a normalized fixed point iterative algorithm to directly solve the original problem and prove its geometric convergence to the global optimal solution, which implies the pseudo-polynomial time solvability of the considered problem. Simulation results show that the proposed normalized fixed point iterative algorithm converges much faster than the binary search method.

DOI: 10.1109/ICASSP.2014.6853637

Extracted Key Phrases

2 Figures and Tables

01020201520162017
Citations per Year

Citation Velocity: 7

Averaging 7 citations per year over the last 3 years.

Learn more about how we calculate this metric in our FAQ.

Cite this paper

@article{Sun2014GloballyOJ, title={Globally optimal joint uplink base station association and power control for max-min fairness}, author={Ruoyu Sun and Zhi-Quan Luo}, journal={2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, year={2014}, pages={454-458} }