Performance Analysis of K-Best Detection with Adaptive Modulation

Wenjun Fu, John Thompson

Research output: Contribution to conferencePaperpeer-review

Abstract / Description of output

In this paper, a performance analysis of the K-best detection algorithm with an adaptive modulation scheme in multiple input multiple output (MIMO) systems is proposed. A simplified error probability approximation method based on the union bound (UB) of the Maximum-Likelihood detector (MLD) is presented to estimate the bit error rate (BER) of the K-best algorithm. In specific, the simplified approach uses only the minimum Euclidean distance (MED) events which is suitable for the adaptive modulation scheme with much reduced computational complexity. In addition, both the signal-to-noise ratio (SNR) gaps between the the UB with MED events versus the full UB and the UB with MED events versus the K-best algorithm with different K values are estimated. A Look-up table (LUT) is built for the accurate approximation of the BER performance of the K-best algorithm in the adaptive modulation scheme. Finally, simulation result has shown the K-best algorithm with an adaptive modulation scheme has achieved constant BER performance and higher data rate than conventional K-best algorithm with much reduced computational complexities.
Original languageEnglish
Number of pages5
Publication statusPublished - 26 Aug 2015
EventInternational Symposium on Wireless Communication Systems - Brussels, Belgium
Duration: 25 Aug 201528 Aug 2015

Conference

ConferenceInternational Symposium on Wireless Communication Systems
Country/TerritoryBelgium
CityBrussels
Period25/08/1528/08/15

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