Results 141 to 150 of about 4,393 (215)

Hybrid Beamforming for Reduction of Inter-Beam Interference in Millimeter-Wave Cellular Systems. [PDF]

Sensors (Basel), 2018
Maeng SJ, Park SH, Cho YS.
europepmc   +1 more source

Cell Selection Technique for Millimeter-Wave Cellular Systems with Hybrid Beamforming. [PDF]

Sensors (Basel), 2017
Khan MS, Maeng SJ, Cho YS.
europepmc   +1 more source

Hybrid Robust Beamforming Optimization for LEO Satellite Communications Under DOA Estimation Errors in Spectrum Sharing Scenarios. [PDF]

Sensors (Basel)
Wang Y, Xie X, Jia J.
europepmc   +1 more source

MMU-STCNN-BDQ: a deep reinforcement learning framework for secure and energy-efficient beamforming in 6G mMIMO networks. [PDF]

Sci Rep
Ramudu K, Medasani S, Addepalli T, Sharma M, Pandey A, Srinubabu M.   +5 more
europepmc   +1 more source

DRL-Based Beam Split Alleviation for Movable Antenna-Enabled Near-Field Wideband Communications. [PDF]

Sensors (Basel)
Zhang T, Jiang R, Dai H, Zhou C, Xu Y.
europepmc   +1 more source

SINR-Based User Clustering for Downlink NOMA Systems with Limited Channel Information. [PDF]

Sensors (Basel)
Kim W, Nguyen NT, Jeon T.
europepmc   +1 more source

A novel filtering T-shaped transmission line structure and its application in the design of reduced-size Butler matrix. [PDF]

Sci Rep
Amangeldi Y, Rano D, Arzykulov S, Hashmi M.   +3 more
europepmc   +1 more source

Improving spectral efficiency in distributed massive MIMO in multi-user downlink millimeter wave. [PDF]

Sci Rep
Rajaganapathi R, Senthilkumar S, Alabdulkreem E, Alruwais N.   +3 more
europepmc   +1 more source

Spectral-Efficient End-to-End Beamforming for 6G XL-MIMO: Synergizing Channel Sensing and Spatial-Frequency Sparsity with Deep Learning. [PDF]

Sensors (Basel)
Wen Y, Zeng X, Xie X.
europepmc   +1 more source

Smart beamforming and deep-learning reader for RFID systems in edge IoT. [PDF]

Sci Rep
Mekki K, Slimene MB, Neffati S, Ghezaiel N, Kefi K, Rmili H, Gharsallah A.   +6 more
europepmc   +1 more source