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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yiwen Li Jun Li Zihuai Lin Yonghui Li Vucetic, B. |
| Copyright Year | 2014 |
| Description | Author affiliation: Sch. of Electr. & Inf. Eng., Univ. of Sydney, Sydney, NSW, Australia (Yiwen Li; Jun Li; Zihuai Lin; Yonghui Li; Vucetic, B.) |
| Abstract | In this paper, we propose a novel estimate-and-forward (EF) transmission protocol, and combine it with the essence of compressive sensing (CS) for a network consisting of two correlated sources, one relay and one destination. Compared with the conventional estimate-and-forward (EF) protocol, in our protocol, correlation is exploited in calculating the soft symbols at the relay. Then we transform the network coded soft symbol vector into a sparse vector, which is suitable for compression by using CS. We analyze that the soft symbols in the proposed protocol are more suitable than those in the EF protocol for CS. Simulations show that our protocol can achieve as good bit error rate performance as the uncompressed EF protocol with reduced transmission time at the relay, thus improving the system throughput performance. |
| Starting Page | 5814 |
| Ending Page | 5818 |
| File Size | 164347 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479920037 |
| DOI | 10.1109/ICC.2014.6884249 |
| 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 | Protocols Relays Vectors Correlation Bit error rate Throughput Compressed sensing |
| Content Type | Text |
| Resource Type | Article |
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