Analog Beamforming Enabled Multicasting: Finite-Alphabet Inputs and Statistical CSI
The average multicast rate (AMR) is analyzed in a multicast channel utilizing analog beamforming with finite-alphabet inputs, considering statistical channel state information (CSI).
Ouyang, Chongjun +4 more
core
Maximizing mmWave Coverage: Deployment Strategies for Multiple NCRs
This paper introduces a realistic coverage simulation model for network-controlled repeaters (NCRs) intended as a relay system designed to improve coverage in millimeter wave (mmWave) networks.
Yuki Sasaki +4 more
doaj +1 more source
Scaling Phased Array Receivers to Massive MIMO and Wide Bandwidth with Analog Baseband Beamforming
Massive multi-user MIMO is a promising technique to increase capacity with spatial filtering for spectrum reuse, and increasing SNR through array gain. There are many advantages to increasing antenna and user count in these arrays, but there is also much
Naviasky, Emily
core
Simultaneous Multi-Beam Pattern Synthesis of Subarray via Alternating Projection
For a large-scale array, the subarray technology can save the radio frequency (RF) channels. However, the use of subarray technology often tends to reduce the beamforming performance of the array.
Zhongtian Jing +3 more
doaj +1 more source
Multiuser downlink hybrid analog-digital beamforming with individual SINR constraints
This paper deals with the problem of multiuser transmit hybrid analog-digital beamforming. Precisely, we tackle the problem of transmit power minimization under minimum signal-to-noise-plus-interference ratio (SINR) constraints.
Blanco, Luis +2 more
core
State-Driven Adaptive Deep-Unfolded PGA Algorithm for Hybrid Beamforming in MIMO-JCAS Systems. [PDF]
Liu F, Wang Z, Gao Y, Yao Z.
europepmc +1 more source
A Low-Cost Two-Dimensional Scalable Active Receive Phased Array with 8 Simultaneously Reconfigurable Beams. [PDF]
Zhang H +6 more
europepmc +1 more source
Improving spectral efficiency in distributed massive MIMO in multi-user downlink millimeter wave. [PDF]
Rajaganapathi R +3 more
europepmc +1 more source
MMU-STCNN-BDQ: a deep reinforcement learning framework for secure and energy-efficient beamforming in 6G mMIMO networks. [PDF]
Ramudu K +5 more
europepmc +1 more source
SINR-Based User Clustering for Downlink NOMA Systems with Limited Channel Information. [PDF]
Kim W, Nguyen NT, Jeon T.
europepmc +1 more source

