English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We introduce a revised derivation of the bitwise Markov Chain Monte Carlo(MCMC) multiple-input multiple-output (MIMO) detector. The new approachresolves the previously reported high SNR stalling problem of MCMC without theneed for hybridization with another detector method or adding heuristictemperature scaling factors. Another common problem with MCMC algorithms is theunknown convergence time making predictable fixed-length implementationsproblematic. When an insufficient number of iterations is used on a slowlyconverging example, the output LLRs can be unstable and overconfident.Therefore, we develop a method to identify rare slowly converging runs andmitigate their degrading effects on the soft-output information. This improvesforward-error-correcting code performance and removes a symptomatic error floorin BER plots. Next, pseudo-convergence is identified with a novel way tovisualize the internal behavior of the Gibbs sampler. An effective andefficient pseudo-convergence detection and escape strategy is suggested.Finally, the new excited MCMC (X-MCMC) detector is shown to have nearmaximum-a-posteriori (MAP) performance even with challenging, realistic,highly-correlated channels at the maximum MIMO sizes and modulation ratessupported by the 802.11ac WiFi specification, 8x8 MIMO 256 QAM.

Achieving Near MAP Performance with an Excited Markov Chain Monte Carlo MIMO Detector