Source fidelity over fading channels: performance of erasure and scalable codes

We consider the transmission of a Gaussian source through a block fading channel. Assuming each block is decoded independently, the received distortion depends on the tradeoff between quantization accuracy and probability of outage. Namely, higher quantization accuracy requires a higher channel code...

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Vydáno v:	IEEE transactions on communications Ročník 56; číslo 7; s. 1080 - 1091
Hlavní autoři:	Zachariadis, K., Honig, M., Katsaggelos, A.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York, NY IEEE 01.07.2008 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Applied sciences Blocking Broadcasting Channel coding Channels Coding Coding, codes Decoding Delay Distortion Exact sciences and technology Fading Gaussian H infinity control Information, signal and communications theory Outages Performance analysis Quantization Sampling, quantization Signal analysis Signal and communications theory Studies Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) Fading channels Performance evaluation fading channel Source coding Scalability Outage broadcast channel Rate distortion theory Decoding Channel coding Multiresolution analysis rate distortion Accuracy Source-channel coding Signal quantization Coherence Broadcast channels Standard deviation Delay time scalable coding Deterministic approach Signal to noise ratio
ISSN:	0090-6778, 1558-0857
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Popis
Shrnutí:	We consider the transmission of a Gaussian source through a block fading channel. Assuming each block is decoded independently, the received distortion depends on the tradeoff between quantization accuracy and probability of outage. Namely, higher quantization accuracy requires a higher channel code rate, which increases the probability of outage. We first treat an outage as an erasure, and evaluate the received mean distortion with erasure coding across blocks as a function of the code length. We then evaluate the performance of scalable, or multi-resolution coding in which coded layers are superimposed within a coherence block, and the layers are sequentially decoded. Both the rate and power allocated to each layer are optimized. In addition to analyzing the performance with a finite number of layers, we evaluate the mean distortion at high signal-to-noise ratios as the number of layers becomes infinite. As the block length of the erasure code increases to infinity, the received distortion converges to a deterministic limit, which is less than the mean distortion with an infinite-layer scalable coding scheme. However, for the same standard deviation in received distortion, infinite layer scalable coding performs slightly better than erasure coding, and with much less decoding delay.
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Feature-1 content type line 23
ISSN:	0090-6778 1558-0857
DOI:	10.1109/TCOMM.2008.060387