Results 71 to 80 of about 33,097 (233)
IET Communications, Volume 20, Issue 1, January/December 2026.Within the framework of integrated space‐air‐ground edge computing networks, this paper investigates the joint optimization of task allocation, user‐UAV association, UAV deployment, and computation resource allocation between UAVs and the LEO satellite.
Tengda Huang, Tao Hu, Di Wu, Wenzhi Zhao
wiley +1 more source
Distributed Precoding for BER Minimization With PAPR Constraint in Uplink Massive MIMO Systems
IEEE Access, 2018 Precoding can effectively reduce the peak-to-average power ratio (PAPR) of the transmitted waveform but will usually degrade the bit error rate (BER) performance.
Wei Peng +4 more
doaj +1 more source
IET Communications, Volume 20, Issue 1, January/December 2026.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
, 2008 We analyze a multi-level MIMO relaying system where a multiple-antenna transmitter sends data to a multipleantenna receiver through several relay levels, also equipped with multiple antennas.
Debbah, Merouane +3 more
core +2 more sources
IET Communications, Volume 20, Issue 1, January/December 2026.This research proposes a Regularised Hyperparameter Bilevel Optimisation with Continual Learning‐based Deep Neural Network (RHBO‐CLDNN) for beamforming in an Ultra‐Wide Band (UWB) system. The RHBO ensures the hyperparameter efficiency at both upper and lower levels, which allows DNN to fine‐tune the unique characteristics of the UWB system, which leads
Pradeep Kumar Siddanna +2 more
wiley +1 more source
High-Throughput Satellite Precoding Algorithm Based on Non-Ideal Channel State Information
天地一体化信息网络, 2023 In order to suppress co-channel interference caused by frequency reuse, high-throughput satellite communication systems have begun to study ground interference suppression technologies, including multi-user detection technology applied in the reverse ...
Yingzhe DOU +2 more
doaj +2 more sources
Two-Stage Subspace Constrained Precoding in Massive MIMO Cellular Systems
, 2015 We propose a subspace constrained precoding scheme that exploits the spatial channel correlation structure in massive MIMO cellular systems to fully unleash the tremendous gain provided by massive antenna array with reduced channel state information (CSI)
Lau, Vincent, Liu, An
core +2 more sources
Journal of Computer Networks and Communications, Volume 2026, Issue 1, 2026.The sixth generation (6G) wireless networks are used to provide a large coverage, and also this generation needed to support different emerging applications in harsh areas with higher user equipment mobility. For the above case, a new modulation technique called orthogonal time–frequency space (OTFS) modulation has emerged as a promising technique to ...
Ephrem Gelamite Demere +2 more
wiley +1 more source
A New SLNR-based Linear Precoding for Downlink Multi-User Multi-Stream MIMO Systems [PDF]
, 2010 Signal-to-leakage-and-noise ratio (SLNR) is a promising criterion for linear precoder design in multi-user (MU) multiple-input multiple-output (MIMO) systems. It decouples the precoder design problem and makes closed-form solution available.
Cheng, Peng, Tao, Meixia, Zhang, Wenjun
core
Conjugate Gradient-based Soft-Output Detection and Precoding in Massive MIMO Systems
, 2014 Massive multiple-input multiple-output (MIMO) promises improved spectral efficiency, coverage, and range, compared to conventional (small-scale) MIMO wireless systems.
Cavallaro, Joseph R. +3 more
core +1 more source