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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhu Han Xin Zhang Poor, H.V. |
| Copyright Year | 2007 |
| Description | Author affiliation: Boise State Univ., Boise (Zhu Han) |
| Abstract | Cooperative transmission is an emerging communication technique that takes advantages of the broadcast nature of wireless channels. However, due to low spectral efficiency and the requirement of orthogonal channels, its potential for use in future wireless networks is limited. In this paper, by making use of multiuser detection (MUD) and network coding, cooperative transmission protocols with high spectral efficiency, diversity order, and coding gain are developed. Compared with the traditional cooperative transmission protocols with single-user detection, in which the diversity gain is only for one source user, the proposed MUD cooperative transmission protocols have the merits that the improvement of one user's link can also benefit the other users. In addition, using MUD at the relay provides an environment in which network coding can be employed. The coding gain and high diversity order can be obtained by fully utilizing the link between the relay and the destination. From the analysis and simulation results, it is seen that the proposed protocols achieve higher diversity gain, better asymptotic efficiency, and lower bit error rate, compared to traditional MUD and to existing cooperative transmission protocols. |
| Starting Page | 4232 |
| Ending Page | 4236 |
| File Size | 200635 |
| Page Count | 5 |
| File Format | |
| ISBN | 1424403537 |
| DOI | 10.1109/ICC.2007.698 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-06-24 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Protocols Multiuser detection Network coding Relays Peer to peer computing Decoding Base stations MIMO Data engineering USA Councils |
| Content Type | Text |
| Resource Type | Article |
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