Complexity Adjusted Soft-Output Sphere Decoding by Adaptive LLR Clipping

Details Complexity Adjusted Soft-Output Sphere Decoding by Adaptive LLR Clipping Complexity Adjusted Soft-Output Sphere Decoding by Adaptive LLR Clipping

2010-11-09

arxiv.org/abs/1011.2113v1

Computer Science

Information Theory

This work has been submitted to IEEE Communications Letters for possible publication

Scientific paper

A-posteriori probability (APP) receivers operating over multiple-input, multiple-output channels provide enhanced performance at the cost of increased complexity. However, employing full APP processing over favorable transmission environments, where less efficient approaches may already provide the required performance at a reduced complexity, results in waste of resources (e.g, processing energy/power). Therefore, for slowly varying channel statistics, substantial complexity savings can be achieved by simple adaptive schemes which perform performance tracking and adjust the complexity of the soft output sphere decoder by adaptively setting the related log-likelihood ratio (LLR) clipping value.

Affiliated with

Also associated with

No associations

Rating

Complexity Adjusted Soft-Output Sphere Decoding by Adaptive LLR Clipping does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Complexity Adjusted Soft-Output Sphere Decoding by Adaptive LLR Clipping, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Complexity Adjusted Soft-Output Sphere Decoding by Adaptive LLR Clipping will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-493869