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

Linear precoding and post-processing schemes are ubiquitous in wirelessmulti-input-multi-output (MIMO) settings, due to their reduced complexity withrespect to optimal strategies. Despite their popularity, the performanceanalysis of linear MIMO receivers is mostly not available in closed form, apartfor the canonical (uncorrelated Rayleigh fading) case, while for more generalfading conditions only bounds are provided. This lack of results is motivatedby the complex dependence of the output signal-to-interference and noise ratio(SINR) at each branch of the receiving filter on both the squared singularvalues as well as the (typically right) singular vectors of the channel matrix.While the explicit knowledge of the statistics of the SINR can be circumventedfor some fading types in the analysis of the linear Minimum Mean-Squared Error(MMSE) receiver, this does not apply to the less complex and widely adoptedZero-Forcing (ZF) scheme. This work provides the first-to-date closed-formexpression of the probability density function (pdf) of the output ZF and MMSESINR, for a wide range of fading laws, encompassing, in particular,correlations and multiple scattering effects typical of practically relevantchannel models.

Closed-form performance analysis of linear MIMO receivers in general fading scenarios