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

Visible light communications (VLC) is a promising technology to address thespectrum crunch problem in radio frequency (RF) networks. A major advantage ofVLC networks is that they can use the existing lighting infrastructure inindoor environments, which may have large number of LEDs for illumination.While LEDs used for lighting typically have limited bandwidth, presence of manyLEDs can be exploited for indoor VLC networks, to serve each user by multipleLEDs for improving link quality and throughput. In this paper, LEDs are groupedand assigned to the users based on received signal strength from each LED, forwhich different solutions are proposed to achieve maximum throughput,proportional fairness and quality of service (QoS). Additionally, poweroptimization of LEDs for a given assignment is investigated, and Jacobian andHessian matrices of the corresponding optimization problem are derived.Moreover, for multi-element receivers with LED grouping at the transmitter, animproved optimal combining method is proposed. This method suppressesinterference caused by simultaneous data transfer of LEDs and improves theoverall signal-to-interference-plus-noise-ratio (SINR) by 2 dB to 5 dB. Lastly,an efficient calculation of channel response is presented to simulate multipathVLC channel with low computational complexity.

Multi-Element VLC Networks: LED Assignment, Power Control, and Optimum Combining