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 propose a low complexity antenna selection algorithm for low target rateusers in cloud radio access networks. The algorithm consists of two phases: Inthe first phase, each remote radio head (RRH) determines whether to be includedin a candidate set by using a predefined selection threshold. In the secondphase, RRHs are randomly selected within the candidate set made in the firstphase. To analyze the performance of the proposed algorithm, we model RRHs andusers locations by a homogeneous Poisson point process, whereby thesignal-to-interference ratio (SIR) complementary cumulative distributionfunction is derived. By approximating the derived expression, an approximateoptimum selection threshold that maximizes the SIR coverage probability isobtained. Using the obtained threshold, we characterize the performance of thealgorithm in an asymptotic regime where the RRH density goes to infinity. Theobtained threshold is then modified depending on various algorithm options. Adistinguishable feature of the proposed algorithm is that the algorithmcomplexity keeps constant independent to the RRH density, so that a user isable to connect to a network without heavy computation at baseband units.

Low Complexity Antenna Selection for Low Target Rate Users in Dense Cloud Radio Access Networks