Sciweavers

DAM
2006

On the complexity of suboptimal decoding for list and decision feedback schemes

13 years 12 months ago
On the complexity of suboptimal decoding for list and decision feedback schemes
We consider bounded distance list decoding, such that the decoder calculates the list of all codewords within a sphere around the received vector. We analyze the performance and the complexity of this suboptimum list decoding scheme for the binary symmetric channel. The reliability function of the list decoding scheme is equivalent to the sphere-packing bound, where the decoding complexity is asymptotically bounded by 2nR(1-R). Furthermore, we investigate a decision feedback strategy that is based on bounded distance list decoding. Here, any output with zero or many codewords will call for a repeated transmission. In this case the decoding complexity will be of the order 2nR(1-C), where C denotes the channel capacity. The reliability function is close to Forney's feedback exponent.
Jürgen Freudenberger, Victor V. Zyablov
Added 11 Dec 2010
Updated 11 Dec 2010
Type Journal
Year 2006
Where DAM
Authors Jürgen Freudenberger, Victor V. Zyablov
Comments (0)