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| Content Provider | ACM Digital Library |
|---|---|
| Author | Perry, Jonathan Balakrishnan, Hari Iannucci, Peter A. Fleming, Kermin Elliott Shah, Devavrat |
| Abstract | Spinal codes are a recently proposed capacity-achieving rateless code. While hardware encoding of spinal codes is straightforward, the design of an efficient, high-speed hardware decoder poses significant challenges. We present the first such decoder. By relaxing data dependencies inherent in the classic M-algorithm decoder, we obtain area and throughput competitive with 3GPP turbo codes as well as greatly reduced latency and complexity. The enabling architectural feature is a novel alpha-beta incremental approximate selection algorithm. We also present a method for obtaining hints which anticipate successful or failed decoding, permitting early termination and/or feedback-driven adaptation of the decoding parameters. We have validated our implementation in FPGA with on-air testing. Provisional hardware synthesis suggests that a near-capacity implementation of spinal codes can achieve a throughput of 12.5 Mbps in a 65 nm technology while using substantially less area than competitive 3GPP turbo code implementations. |
| Starting Page | 151 |
| Ending Page | 162 |
| Page Count | 12 |
| File Format | |
| ISBN | 9781450316859 |
| DOI | 10.1145/2396556.2396593 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2012-10-29 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Spinal Wireless Architecture Rateless Decoder |
| Content Type | Text |
| Resource Type | Article |
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