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Content Provider | IEEE Xplore Digital Library |
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Author | Vogt, T. Wehn, N. |
Copyright Year | 2008 |
Description | Author affiliation: Microelectron. Syst. Design Res. Group, Kaiserslautern Univ., Kaiserslautern (Vogt, T.; Wehn, N.) |
Abstract | Future mobile and wireless communication networks require flexible modem architectures to support seamless services between different network standards. Hence, a common hardware platform that can support multiple protocols implemented or controlled by software, generally referred to as software defined radio (SDR), is essential. This paper presents a family of dynamically reconfigurable application-specific instruction-set processors (ASIP) for the application domain of channel coding in wireless communication systems. As a weakly programmable IP core, it can implement trellis based channel decoding in a SDR environment. It features binary convolutional decoding, and turbo decoding for binary as well as duobinary turbo codes for all current and upcoming standards. The ASIPs consist of a specialized pipeline with 15 stages and a dedicated communication and memory infrastructure. Logic synthesis revealed a maximum clock frequency of 400 MHz and a total area of 0.42 $mm^{2}$ for a 65 nm technology. Simulation results for Viterbi and turbo decoding demonstrate maximum throughput of 196 and 34 Mbps, respectively, and outperforms existing SDR based approaches for channel decoding. |
Starting Page | 38 |
Ending Page | 43 |
File Size | 792378 |
Page Count | 6 |
File Format | |
ISBN | 9783981080131 |
DOI | 10.1109/DATE.2008.4484657 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-03-10 |
Publisher Place | Germany |
Access Restriction | Subscribed |
Rights Holder | European Design Automation Association (EDAA) |
Subject Keyword | Decoding Application specific processors Application software Convolutional codes Wireless communication Modems Computer architecture Communication standards Hardware Protocols |
Content Type | Text |
Resource Type | Article |
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