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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| Published in: | IEEE transactions on communications Vol. 56; no. 7; pp. 1080 - 1091 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
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IEEE
01.07.2008
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 0090-6778, 1558-0857 |
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| Abstract | 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. |
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| AbstractList | 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. 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. |
| Author | Zachariadis, K. Honig, M. Katsaggelos, A. |
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| Keywords | 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 |
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| Snippet | We consider the transmission of a Gaussian source through a block fading channel. Assuming each block is decoded independently, the received distortion depends... 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... |
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| SubjectTerms | 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) |
| Title | Source fidelity over fading channels: performance of erasure and scalable codes |
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