Results 61 to 70 of about 2,110 (193)
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
Robust Adaptive Beamforming for Multiple Signals of Interest with Cycle Frequency Error
This paper deals with the problem of robust adaptive array beamforming by exploiting the signal cyclostationarity. Recently, a novel cyclostationarity-exploiting beamforming method has been proposed by J.-H. Lee and C.-C.
Huang Chia-Cheng, Lee Ju-Hong
doaj
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
Communication‐Security Co‐Design for Federated Learning in Grant‐Free NOMA IoT Networks
This article presents SA‐PPO, a Security‐Aware Proximal Policy Optimisation framework for federated learning over grant‐free NOMA (non‐orthogonal multiple access) in IoT networks. By jointly optimising access control, resource allocation, and trust‐weighted aggregation using cross‐layer indicators, SA‐PPO enhances both communication reliability and ...
Emmanuel Atebawone +5 more
wiley +1 more source
Robust Adaptive Beamforming With Subspace Projection and Covariance Matrix Reconstruction
In this paper, we present a subspace projection and covariance matrix reconstruction (SPCMR) algorithm for adaptive beamforming to improve the robustness against large SV mismatch.
Xiaoyu Ai, Lu Gan
doaj +1 more source
Wasserstein Distributionally Robust Adaptive Beamforming
Distributionally robust optimization (DRO)-based robust adaptive beamforming (RAB) enables enhanced robustness against model uncertainties, such as steering vector mismatches and interference-plus-noise covariance matrix estimation errors. Existing DRO-based RAB methods primarily rely on uncertainty sets characterized by the first- and second-order ...
Irani, Kiarash Hassas +2 more
openaire +2 more sources
Robust adaptive beamforming based on covariance matrix reconstruction using Gauss–Legendre quadrature and steering vector estimation [PDF]
Yan Lv +4 more
openalex +1 more source
Robust Beamforming for ISAC Systems via Probability of Detection Optimisation
We propose a two‐step robust beamforming design for ISAC that maximises multi‐target detection probability while satisfying multi‐user SINR and per‐antenna power constraints. A sensing‐only Riemannian optimisation on the oblique manifold shapes the transmit covariance, followed by SDR‐based reconstruction to enforce communication guarantees ...
Yong Wang, Xianren Kong
wiley +1 more source
The study presents the design and development of a plasma‐based antenna array system for the UHF band. The system features an omnidirectional plasma antenna as its active radiator, a novel approach that has not been previously explored. Surrounding plasma reflectors form a reconfigurable array around the monopole plasma antenna for beam shaping and ...
Manisha Jha +5 more
wiley +1 more source
This paper proposes a reconfigurable intelligent surface‐based deep reinforcement learning MAC (RIS‐DRL‐MAC) protocol for terahertz mesh networks. By embedding RIS perception into the MAC decision loop and using a distributed TD3 algorithm, the proposed scheme achieves a cross‐layer optimisation of beam direction, access timing and RIS phase control ...
Wenjian Zhang, Ping Li
wiley +1 more source

