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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jia Zhou Xiaoxiang Wang Mingming Li Yulong Wang |
| Copyright Year | 2013 |
| Description | Author affiliation: Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China (Jia Zhou; Xiaoxiang Wang; Mingming Li; Yulong Wang) |
| Abstract | Two Opportunistic Multi-antenna Relay Selection (OMRS) strategies are proposed and analyzed in Decode-and-Forward (DF) relay networks for cooperative multicast using space time codes, assuming multiple antennas are available at the relay nodes. These two strategies select the best relay based on (i) maximizing the average SNR and (ii) maximizing the minimum SNR respectively. The closed-form expressions of multicast outage probability for the two strategies are studied over Rayleigh fading channel. Simulations are provided to verify the correctness of the theoretical analysis. Our multicast outage probability results reveal that OMRS based on maximizing the minimum SNR is outage-optimal among multi-antenna relay selection schemes and approaches the space time codes scheme. Moreover, it can be found that compared with previous single-antenna Opportunistic Relaying (OR) scheme, OMRS brings remarkable performance improvement obtained from maximum ratio combining (MRC) and space-time coding, which proves that multiple antennas at the relays could provide more array gain and diversity gain. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 298026 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467361873 |
| ISSN | 10903038 |
| DOI | 10.1109/VTCFall.2013.6692338 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-09-02 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Relays Signal to noise ratio Antennas Fading Wireless networks Multicast communication |
| Content Type | Text |
| Resource Type | Article |
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