Results 61 to 70 of about 525 (132)

Multi-Intelligent Reflecting Surfaces and Artificial Noise-Assisted Cell-Free Massive MIMO Against Simultaneous Jamming and Eavesdropping. [PDF]

Sensors (Basel)
Hu H, Xie W, Xu K, Xia X, Li N, Wu H.
europepmc   +1 more source

Downlink Transmissions of UAV-RIS-Assisted Cell-Free Massive MIMO Systems: Location and Trajectory Optimization. [PDF]

Sensors (Basel)
Zhang Q, Zhao J, Zhang R, Yang L.
europepmc   +1 more source

Distributed Signal Processing for Cell-Free Massive MIMO.

Cellulära nätverk är en banbrytande teknik inom mobilkommunikation som ursprungligen designades för röstsamtal, men som nu står inför en växande efterfrågan på sömlösa och dataintensiva applikationer på trädlösa enheter. En av de stora nackdelarna med cellulära nätverk är de betydande variationerna i datahastighet mellan användare i cellens centrum och
openaire   +2 more sources

Integrated approach for edge coverage enhancement based on IRS phase shift control and AP selection in dense user communication system. [PDF]

Sci Rep
Shrivastava S, Taneja A, Alqahtani N, Alqahtani A.   +3 more
europepmc   +1 more source

Residual-aided CSI-free end-to-end learning for multiuser MIMO. [PDF]

PLoS One
Affum EA, Futa O, Oppong MA, Biney DO.
europepmc   +1 more source

Genus hologram antenna for MIMO applications. [PDF]

Sci Rep
Eltresy NA, Malhat HA, Deen SZ.
europepmc   +1 more source

Wireless Communications: Signal Processing Perspectives. [PDF]

Entropy (Basel)
Roy S.
europepmc   +1 more source

The Deep Learning Evolution in Wireless Physical Layer Communications: Applications, Challenges, and Evolutionary Directions. [PDF]

Sensors (Basel)
Xu H, Liang Y, Xie R, Kong Y.
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

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