Interference-Limited Resource Optimization in Cognitive Femtocells With Fairness and Imperfect Spectrum Sensing
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...
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Published in | IEEE transactions on vehicular technology Vol. 65; no. 3; pp. 1761 - 1771 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
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New York
IEEE
01.03.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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Abstract | 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. |
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AbstractList | 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. |
Author | Xiaotao Mao Haijun Zhang Hsiao-Hwa Chen Chunxiao Jiang |
Author_xml | – sequence: 1 givenname: Haijun surname: Zhang fullname: Zhang, Haijun – sequence: 2 givenname: Chunxiao surname: Jiang fullname: Jiang, Chunxiao – sequence: 3 givenname: Xiaotao surname: Mao fullname: Mao, Xiaotao – sequence: 4 givenname: Hsiao-Hwa surname: Chen fullname: Chen, Hsiao-Hwa |
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SubjectTerms | Cognitive femtocell fairness Femtocells Integer programming Interference Macrocell networks Optimization power control Quality of service Resource management Sensors |
Title | Interference-Limited Resource Optimization in Cognitive Femtocells With Fairness and Imperfect Spectrum Sensing |
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