TY - GEN

T1 - Source fidelity over fading channels

T2 - GLOBECOM'05: IEEE Global Telecommunications Conference, 2005

AU - Zachariadis, Konstantinos E.

AU - Honig, Michael L

AU - Katsaggelos, Aggelos K

PY - 2005/12/1

Y1 - 2005/12/1

N2 - 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. Here we evaluate the received mean distortion with erasure coding across blocks as a function of the code length. We also evaluate the performance of scalable, or multi-resolution coding in which coded layers are superimposed, and the layers are sequentially decoded. In addition to analyzing 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.

AB - 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. Here we evaluate the received mean distortion with erasure coding across blocks as a function of the code length. We also evaluate the performance of scalable, or multi-resolution coding in which coded layers are superimposed, and the layers are sequentially decoded. In addition to analyzing 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.

UR - http://www.scopus.com/inward/record.url?scp=33846591404&partnerID=8YFLogxK

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U2 - 10.1109/GLOCOM.2005.1578223

DO - 10.1109/GLOCOM.2005.1578223

M3 - Conference contribution

AN - SCOPUS:33846591404

SN - 0780394143

SN - 9780780394148

T3 - GLOBECOM - IEEE Global Telecommunications Conference

SP - 2558

EP - 2562

BT - GLOBECOM'05

Y2 - 28 November 2005 through 2 December 2005

ER -