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Approximate MIMO Iterative Processing with Adjustable Complexity Requirements

Nikitopoulos, K and Ascheid, G (2011) Approximate MIMO Iterative Processing with Adjustable Complexity Requirements IEEE Transactions on Vehicular Technology, vol. 61, no. 2, pp. 639-650, Feb. 2012.

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Targeting always the best achievable bit error rate (BER) performance in iterative receivers operating over multiple-input multiple-output (MIMO) channels may result in significant waste of resources, especially when the achievable BER is orders of magnitude 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 which allows reduced complexity sphere and channel decoding, adjustable to the transmission conditions and the required bit error rate. With the proposed approximate soft information exchange the performance of the exact soft information can still be reached with significant complexity gains.

Item Type: Article
Divisions : Surrey research (other units)
Authors :
Ascheid, G
Date : 13 April 2011
DOI : 10.1109/TVT.2011.2179324
Uncontrolled Keywords : cs.IT, cs.IT, math.IT
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:06
Last Modified : 24 Jan 2020 23:26

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