Abstract
Targeting only the best achievable bit error rate (BER) performance in iterative receivers operating over multiple-input-multiple-output (MIMO) channels may result in a significant waste of resources, particularly when the achievable BER is considerably better than the target performance [e.g., under good channel conditions and at high signal-to-noise ratio (SNR)]. In contrast to the typical iterative schemes, a practical iterative decoding framework that approximates the soft information exchange is proposed, allowing reduced complexity sphere and channel decoding that is adjustable to the transmission conditions and the required BER. With the proposed approximate soft information exchange, the performance of the exact soft information can still be reached with significant complexity reduction.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
