Title :
Power Control for Sum-Rate Maximization on Interference Channels Under Sum Power Constraint
Author :
Ul Hassan, Naveed ; Chau Yuen ; Saeed, Shayan ; Zhaoyang Zhang
Author_Institution :
Dept. of Electr. Eng., Lahore Univ. of Manage. Sci., Lahore, Pakistan
Abstract :
In this paper, we consider the problem of power control for sum-rate maximization on multiple interfering links [transmitter-receiver pairs (Tx-RX)] under a sum power constraint. We consider a single-frequency network, where all pairs are operating in the same frequency band, thereby creating interference with each other. We study the power-allocation problem for sum-rate maximization with and without quality-of-service (QoS) requirements on individual links. When the objective is only sum-rate maximization without QoS guarantees, we develop an analytic solution to decide optimal power allocation for a two-TX-RX-pair problem. We also develop a low-complexity iterative algorithm for a three-TX-RX-pair problem. For a generic N > 3 TX-RX pair problem, we develop two low-complexity suboptimal power-allocation algorithms. The first algorithm is based on the idea of making clusters of two or three TX-RX pairs and then leveraging the power-allocation results obtained for the twoand three-TX-RX-pair problems. The second algorithm is developed by using a high signal-to-interference-plus-noise ratio (SINR) approximation, and this algorithm can be also implemented in a distributed manner by individual TXs. We then consider the same problem but with additional QoS guarantees for individual links. We again develop an analytic solution for the two-TX-RX-pair problem and a distributed algorithm for N > 2 TX-RX pairs.
Keywords :
iterative methods; optimisation; power control; quality of service; radio links; radio receivers; radio transmitters; radiofrequency interference; QoS; generic TX-RX pair problem; interference channels; low-complexity iterative algorithm; multiple interfering links; optimal power allocation; power allocation problem; power control; quality of service; signal-to-interference-plus-noise ratio; single frequency network; sum power constraint; sum-rate maximization; transmitter-receiver pairs; Clustering algorithms; Interference; Optimization; Power control; Quality of service; Radio transmitters; Resource management; Interference channels; power control; wireless networks;
Journal_Title :
Vehicular Technology, IEEE Transactions on
DOI :
10.1109/TVT.2014.2324289