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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiaoli Xu Yong Zeng Yong Liang Guan |
| Copyright Year | 1997 |
| Abstract | To achieve the capacity of erasure networks, the spatial-temporal network coding, i.e., coding across symbols received both from different edges as well as at different time slots, with infinite temporal length is generally required. However, in practice, only finite temporal coding length is feasible due to constraints such as tolerable delay, available buffer size, and acceptable coding/decoding complexity. A practical question to answer is, thus, what the minimum temporal coding length is needed to achieve a target percentage of the network capacity. To this end, we derive the expected throughput of erasure networks applied with spatial-temporal network coding as a function of coding length M. Numerical examples demonstrate a very good match between the theoretical and simulation results. |
| Starting Page | 1163 |
| Ending Page | 1166 |
| Page Count | 4 |
| File Size | 424643 |
| File Format | |
| ISSN | 10897798 |
| Volume Number | 18 |
| Issue Number | 7 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Encoding Network coding Throughput Random variables Approximation methods Educational institutions Analytical models throughput finite length |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Modeling and Simulation Computer Science Applications |
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