Interference-Limited Resource Optimization in Cognitive Femtocells With Fairness and Imperfect Spectrum Sensing

• Published in: IEEE transactions on vehicular technology Vol. 65; no. 3; pp. 1761 - 1771
• Main Authors: Zhang, Haijun, Jiang, Chunxiao, Mao, Xiaotao, Chen, Hsiao-Hwa
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.03.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Cognitive femtocell; fairness; Femtocells; Integer programming; Interference; Macrocell networks; Optimization; power control; Quality of service; Resource management; Sensors; fairness; orthogonal frequency-division multiple access (OFDMA); imperfect spectrum sensing; power control; interference; Cognitive femtocell
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2015.2405538

The use of cognitive-radio(CR)-enabled femtocell is regarded as a promising technique in wireless communications, and many studies have been reported on its resource allocation and interference management. However, fairness and spectrum sensing errors were ignored in most of the existing studies. In this paper, we propose a resource allocation scheme for orthogonal frequency division multiple access (OFDMA)-based cognitive femtocells. The target is to maximize the total capacity of all femtocell users (FUs) under given quality-of-service (QoS) and cotier/cross-tier interference constraints with imperfect channel sensing. To achieve the fairness among FUs, the minimum and maximum numbers of subchannels occupied by each user are considered. First, the subchannel and power allocation problem is modeled as a mixed-integer programming problem, and then, it is transformed into a convex optimization problem by relaxing subchannel sharing and applying cotier interference constraints, which is finally solved using a dual decomposition method. Based on the obtained solution, an iterative subchannel and power allocation algorithm is proposed. The effectiveness of the proposed algorithm in terms of capacity and fairness compared with the existing schemes is verified by simulations.