Results 141 to 150 of about 31,082 (236)

Deep reinforcement learning for network resource optimization in MIMO-NOMA networks to maximize utilization with minimal overhead. [PDF]

Sci Rep
Lahza HFM, Sreenivasa BR, Lahza H, Nandini G, Laxmi V, Shawly T, Alsheikhy AA.   +6 more
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

SHIFT-MAB: Fair and Mobility-Aware Handover Control for 6G Fully Decoupled RANs. [PDF]

Sensors (Basel)
Gong T, Dai C, Yang T.
europepmc   +1 more source

Initial Synchronisation in the Multiple-Input Multiple-Output Aided Single- and Multi-Carrier DS-CDMA as well as DS-UWB Downlink

In this thesis, we propose and investigate code acquisition schemes employing both colocated and cooperative Multiple Input/Multiple Output (MIMO) aided Single-Carrier (SC) and Multi-Carrier (MC) Code Division Multiple Access (CDMA) DownLink (DL) schemes.
Won, Seung Hwan
core  

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

Neural Network-Based Adaptive Resource Allocation for 5G Heterogeneous Ultra-Dense Networks. [PDF]

Sensors (Basel)
Alhazmi AS, Arafah MA.
europepmc   +1 more source

DownLink amplified loss function module for 5G air to terrestrial communication networks. [PDF]

PLoS One
Armghan A, Aldkeelalah SS, Hamdi M, Asklany S, Lhioui C, Hamdaoui R, Mercorelli P, Elrashidi A.   +7 more
europepmc   +1 more source

A Hybrid Low-Complexity WMMSE Precoder with Adaptive Damping for Massive Multi-User Multiple-Input Multiple- Output Systems. [PDF]

Sensors (Basel)
Sen V, Deng H, Xu X, Shen M.
europepmc   +1 more source

A Rate-Adaptive MAC Protocol for Flexible OFDM-PONs. [PDF]

Sensors (Basel)
Zheng Z, Chi Y, Wang X, Zhang J.
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