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Content Provider | IEEE Xplore Digital Library |
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Author | Steiner, A. Shamai, S. |
Copyright Year | 2006 |
Description | Author affiliation: Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa (Steiner, A.; Shamai, S.) |
Abstract | We consider a two-hop relay channel, with stringent delay constraints, which require transmission without channel state information (CSI), where only decoders possess perfect CSI estimation. Various relaying protocols and single-user broadcasting strategies are studied. For a decode-and-forward (DF) relay several broadcasting strategies are considered. Then, for an amplify-and-forward (AF) relay, a maximal broadcasting achievable rate is analytically derived. A quantize-and-forward (QF) relay is also considered. When coupled with a single-level code at the source it uses codebooks matched to the received signal power and performs optimal minimal mean square error (MMSE) quantization. This scheme is simplified by a hybrid amplify-quantize-forward (AQF) relay, which scales the input, and performs optimal MMSE quantization with a single codebook. It is shown that the latter is optimal in means of throughput on the relay-destination link, while maintaining a lower coding complexity than the QF setting. A further extension of the AQF allows the relay to perform successive refinement quantization coupled with a matched multi-level code. Numerical results show that for high SNRs the broadcast approach over AF relay may achieve higher throughput gains than the other relaying protocols that were numerically tractable |
Starting Page | 26 |
Ending Page | 29 |
File Size | 506012 |
Page Count | 4 |
File Format | |
ISBN | 1424400929 |
DOI | 10.1109/IZS.2006.1649070 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2004-02-22 |
Publisher Place | Switzerland |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Broadcasting Relays Fading Quantization Delay estimation Decoding Protocols Throughput Channel state information State estimation |
Content Type | Text |
Resource Type | Article |
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