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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Li, Shengyu Xu, Wenjun Chen, Feng He, Zhiqiang Niu, Kai Lin, Jiaru |
| Copyright Year | 2014 |
| Description | Author affiliation: Key Lab of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, China (Li, Shengyu; Xu, Wenjun; Chen, Feng; He, Zhiqiang; Niu, Kai; Lin, Jiaru) |
| Abstract | In this paper, multi-antenna multicast in OFDM-based cognitive radio networks is studied with imperfect channel information at the cognitive base station. The resource allocation problem is formulated to maximize the total weighted transmission rate of all multicast sessions subject to the maximal outage probability constraint of secondary users (SUs) and the maximal interference overweighing probability constraint of primary users (PUs). To tackle the problem efficiently, the closed-form expressions for these two probability constraints are derived, based on which a two-step resource allocation method is proposed: firstly perform the normalized beamforming vector optimization and the subcarrier assignment, and secondly carry out the power allocation. Meanwhile, to optimize the normalized beamforming vectors, two kinds of methods are presented, with one method suitable for the high interference threshold region and the other for the low interference threshold region. Simulation results show that compared with the traditional method which does not consider the channel estimation error, our proposed method can improve the total successfully received rate of multicast users hugely while guaranteeing SUs' outage probability constraint and PUs' interference overweighing probability constraint very well. |
| Starting Page | 365 |
| Ending Page | 370 |
| File Size | 2485638 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479946402 |
| DOI | 10.1109/ICCW.2014.6881224 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-06-10 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | IEEE Xplore Portable document format |
| Content Type | Text |
| Resource Type | Article |
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