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 study cell-free massive multiple-input multiple-output precoders thatminimize the power consumed by the power amplifiers subject to per-userper-subcarrier rate constraints. The power at each antenna is generallyretrieved by solving a fixed-point equation that depends on the instantaneouschannel coefficients. Using random matrix theory, we retrieve each antennapower as the solution to a fixed-point equation that depends only on thesecond-order statistics of the channel. Numerical simulations prove theaccuracy of our asymptotic approximation and show how a subset of access pointsshould be turned off to save power consumption, while all the antennas of theactive access points are utilized with uniform power across them. Thismechanism allows to save consumed power up to a factor of 9$\times$ in low-loadscenarios.

Energy-Saving Cell-Free Massive MIMO Precoders with a Per-AP Wideband Kronecker Channel Model