Computer Science – Information Theory
Scientific paper
2010-10-20
Computer Science
Information Theory
An extended version of this work has been submitted for publication consideration
Scientific paper
Typical receiver processing, targeting always the best achievable bit error rate performance, can result in a waste of resources, especially, when the transmission conditions are such that the best performance is orders of magnitude better than the required. In this work, a processing framework is proposed which allows adjusting the processing requirements to the transmission conditions and the required bit error rate. It applies a-posteriori probability receivers operating over multiple-input multiple-output channels. It is demonstrated that significant complexity savings can be achieved both at the soft, sphere-decoder based detector and the channel decoder with only minor modifications.
Ascheid Gerd
Nikitopoulos Konstantinos
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