Title :
Power Allocation for Maximizing the Minimum Rate With QoS Constraints
Author :
Dai, Jisheng ; Ye, Zhongfu ; Xu, Xu
Author_Institution :
Dept. of Electron. Eng. & Inf. Sci., Univ. of Sci. & Technol. of China, Hefei, China
Abstract :
Max-min fair power allocation brings higher average throughput and better utilization of the resources than a work-conserving equal-sharing policy. In this paper, instead of achieving a common maximum sum-rate objective, an optimal power-allocation design for maximizing the minimum rate of the reverse link of code-division multiple-access (CDMA) systems with quality-of-service (QoS) constraints is investigated. To avoid the difficulty of directly solving a nonconvex optimization problem, we split the original problem into two successive steps. First, we try to derive the structure of the optimum solution via majorization theory. Then, based on this result, we propose a very efficient search method to find the max-min fair solution, which reduces the search space from a 1-D space into a finite set of points. Compared with existing methods, a much lighter computational complexity is required by our method.
Keywords :
code division multiple access; communication complexity; concave programming; minimax techniques; quality of service; radio networks; CDMA reverse link; QoS constraint; code-division multiple-access; computational complexity; majorization theory; max-min fair power allocation; nonconvex optimization problem; quality-of-service; search space; wireless communication; Code-division multiple-access (CDMA); majorization theory; max–min fairness; maximize the minimum rate; power allocation; quality-of-service (QoS);
Journal_Title :
Vehicular Technology, IEEE Transactions on
DOI :
10.1109/TVT.2009.2027123