DocumentCode
177562
Title
Globally optimal joint uplink base station association and power control for max-min fairness
Author
Ruoyu Sun ; Zhi-Quan Luo
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Minnesota, Minneapolis, MN, USA
fYear
2014
fDate
4-9 May 2014
Firstpage
454
Lastpage
458
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.
Keywords
cellular radio; iterative methods; minimax techniques; quality of service; search problems; HetNet; QoS constrained subproblem; binary search method; geometric convergence; global optimal solution; globally optimal joint uplink base station association; heterogeneous network; iterative algorithm; max-min fairness criterion; power allocation problem; power base stations; power control; pseudo-polynomial time solvability; quality of service; uplink cellular network; user-BS association; Base stations; Interference; Joints; Power control; Quality of service; Resource management; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location
Florence
Type
conf
DOI
10.1109/ICASSP.2014.6853637
Filename
6853637
Link To Document