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/

Zendy Plus

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

Zendy Tools

Zendy Open

In this research paper approximate mean of signal-to-interference-plus-noiseratio (SINR) under imperfect channel state information (CSI) is computed andmaximized for throughput enhancement of MIMO interference networks. Eachtransmitter and receiver has respectively M and N antennas and network operatesin a time division duplex mode. Each transceiver adjusts its filter to maximizethe expected value of SINR. The proposed New Approach for ThroughputEnhancement under imperfect CSI utilizes the reciprocity of wireless networksto maximize the estimated mean. The sum rate performance of the proposedalgorithm is verified using Monte Carlo simulations.

Maximizing First Order Approximate Mean of SINR under Imperfect Channel State Information for Throughput Enhancement of MIMO Interference Networks