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

This paper proposes an iterative detection and decoding (IDD) scheme and anapproach to improve the selection of access points (APs) in uplink cell-freemassive multiple-antenna systems. A cost-effective scheme for selection of APsbased on local log-likelihood ratios (LLRs) is developed that providessufficient statistics to the central processing unit and selects which APsshould be considered for each user. {Numerical results show that the proposedIDD scheme works very well and the proposed LLRs-based approach to select APsoutperforms the existing techniques in terms of bit error rate and spectralefficiency while requiring a comparable fronthaul load.

Study of Iterative Detection and Decoding with Log-Likelihood Ratio Based Access Point Selection for Cell-Free Networks