Results 31 to 40 of about 438 (174)
In this paper, we investigate the application of signal‐to‐leakage‐plus‐noise ratio (SLNR) beamforming to low Earth orbit non‐terrestrial networks. The SLNR criterion aims at maximizing the received desired signal power for each user while minimizing the overall interference power caused by each user to all other co‐channel receivers. We show that such
M. Rabih Dakkak +3 more
wiley +1 more source
5G new radio multiuser precoding in geostationary satellite networks
This work evaluates the standardized 5G new radio codebooks for closed‐loop multiuser precoding in GEO multibeam scenarios and derives a list of recommended 3GPP standard modifications for a proper support to GEO mission needs. Summary The multiuser precoding procedures standardized by the 3rd Generation Partnership Project (3GPP) for new radio (NR ...
Xavier Artiga, Miguel Ángel Vázquez
wiley +1 more source
This paper addresses channel estimation in mmWave (millimetre wave) hybrid MIMO (multiple‐input multiple‐output) systems impaired by residual transceiver hardware nonidealities, modelled as additive non‐Gaussian noise via Bussgang decomposition. A hyperparameter‐free maximum Versoria criterion (MVC)‐based channel estimator is proposed, featuring a ...
Rangeet Mitra +5 more
wiley +1 more source
Optimal Training in Large TDD Multi-User Downlink Systems under Zero-Forcing and Regularized Zero-Forcing Precoding [PDF]
This paper considers a large multi-user time-division duplex (TDD) system, where the base station (BS) acquires channel state information via pilot signaling from the users. In the downlink the BS employs zero-forcing (ZF) and regularized zero-forcing (RZF) precoding.
Wagner, Sebastian +3 more
openaire +2 more sources
ABSTRACT Millimeter‐wave (mmWave) Internet‐of‐Vehicles (IoV) communications rely on large antenna arrays to combat severe path loss and to provide high beamforming gains. However, practical vehicular deployments often adopt analog or hybrid beamforming with constant‐modulus constraints, leading to a highly non‐convex joint beamforming design problem ...
Haowen Zheng +4 more
wiley +1 more source
The multi‐agent Deep Reinforcement Learning (DRL)‐based uplink power control algorithm significantly improves energy efficiency using multi‐agent Deep Deterministic Twin Policy Gradient (MATD3) with dynamic clustering. The Proposed algorithm outperforms single‐agent DRL and classical methods.
Dramane Diarra +2 more
wiley +1 more source
Multiuser precoding scheme and achievable rate analysis for massive MIMO system
We analyze the downlink multiuser precoding of massive multiple input multiple output (MIMO) system, where the base station (BS) has ideal channel state information (CSI) and adopts three types of different linear precoding schemes, i.e., maximum ratio ...
Weiqiang Tan +5 more
doaj +1 more source
DFT codebook-based hybrid precoding for multiuser mmWave massive MIMO systems
In millimeter wave (mmWave) massive MIMO (multiple-input multiple-output) systems, it is difficult to apply conventional digital precoding techniques due to hardware constraints.
Yu Huang +3 more
doaj +1 more source
One of promising transmission technologies for beyond-5G wireless communication is cell-free massive MIMO where all the access nodes (ANs) cooperate to coherently serve all the user equipments (UEs).
Seung-Eun Hong
doaj +1 more source
This document presents a revised mathematical framework for underwater 6G networks addressing common mistakes in research that result in overly optimistic outcomes. By employing established physical models and stringent technical limitations, we create a self‐validated benchmark of 776 Mbps over a distance of 44.8 m in clear ocean water with ...
Yousuf Islam +2 more
wiley +1 more source

