This paper investigates learning-based caching in small-cell networks (SCNs) when user preference is unknown. The goal to optimize the cache placement each small base station (SBS) for minimizing system long-term transmission delay. We model this sequential multi-agent decision making problem a multi-armed bandit (MAMAB) perspective. Rather than estimating first and then optimizing strategy, we propose several MAMAB-based algorithms directly learn strategy online both stationary...

A foamed sodium carboxymethyl cellulose (CMC) material was prepared under nitric acid conditions. Unlike traditional CMC materials, this foaming method is straightforward and does not require additional agents. Owing to its high stability load capacity, the foam can realize long-term quantitative storage a variety of metal ions; therefore, it has broad application prospects in field loaded materials for ions. In work, infrared spectroscopy nuclear magnetic resonance (NMR) were used explore...

In traditional cache-enabled small-cell networks (SCNs), a user can suffer strong interference due to content-centric base station association. This may degenerate the advantage of collaborative content caching among multiple small stations (SBSs), including probabilistic and coded caching. this work, we tackle issue by deploying antennas at each SBS for management. Two types beamforming are considered. One is matched-filter (MF) strengthen effective channel gain desired signal, other...

This letter investigates online high-definition (HD) map caching for autonomous driving in vehicular networks when vehicles' requests and trajectories are unknown advance. We first introduce a general HD model that divides each into different sub-maps to accommodate functionalities. Then we service road side units (RSUs) by considering both the freshness of dynamic locally saved at vehicle retrieving cost not cached RSUs but must be needed high-level control. After that, propose distributed...

This paper investigates online decentralized cache strategy design in multi-cell networks without the knowledge of user preference. The goal is to minimize cumulative transmission delay within a finite time interval. Each small base station (SBS) aims decide on its own action autonomously based past observations and limited information transmitted from other SBSs central controller. To coordinate actions different manner, we first propose an ϵ-calibration learning algorithm for each SBS...

This paper presents an analytical, numerical, and experimental study on the failure behavior of single hat-shaped T-joints made plain woven carbon fiber polymer (T300/epoxy 618) subjected to out-of-plane bending. The T-joint is manufactured by vacuum bag molding process at room temperature. An analytical model developed analyze results establish associated criteria. Two modes: (a) laminate buckling (b) crushing are considered, theoretical relationships for predicting load with each two modes...

Previous works on learning-based caching problems often only focus a single base station (BS) scenario. For considering multiple BSs, the coordination among BSs exists in cache placement phase after learning that each BS estimates file popularity independently. In this work, we investigate strategy design problem small cell networks (SCNs) with stations (SBSs) when user preferences are unknown. We model multi-agent decision making multi-armed bandit (MAB) perspective. first tackle...

Previous works on cache-enabled small-cell networks (SCNs) with probabilistic caching often assume that each user is connected to the nearest small base station (SBS) among all have cached its desired content. The may, however, suffer strong interference from other SBSs which do not cache content but are geographically closer. In this work, we investigate issue by deploying multiple antennas at SBS. We first propose a user-centric SBS clustering model where chooses serving only cluster of...

A diode-pumped passively mode-locked Yb:Lu2Si2O7 (Yb:LPS) laser is demonstrated for the first time, to our knowledge. Using a commercial semiconductor saturable absorber mirror (SESAM) as mode locker and pair of Gires-Tournois interferometer (GTI) mirrors group-velocity dispersion (GVD) compensating, we have obtained stable femtosecond locked pulses. Two output couplers transmission 1.6% 5% were used exploit performance. For coupler with T = 1.6%, 195 fs pulses centered at 1042 nm generated,...

In this study, a method was developed for the rapid online measurement of sodium nitrite solutions using near-infrared spectroscopy. A series standard at different concentrations were prepared, and samples measured in cuvettes flow cells. Following preprocessing raw spectra band selection, partial least squares used to establish prediction model, coefficient determination (R2) validation set root mean square error (RMSEP) model 0.9989 0.0338. The results demonstrate that established can meet...

We develop a general theory for multiphoton qubit-resonator interactions enhanced by qubit drive. The generate qubit-conditional operations in the resonator when driving is near $n$-photon cross-resonance, namely, drive $n$-times frequency. pay special attention to strong regime, where are conditioned on dressed states. consider specific case $n=2$, which results squeezing (QCS). propose use QCS protocol amplifying displacements and their superpositions. find superposition of orthogonally...

This paper investigates learning-based caching in small-cell networks (SCNs) when user preference is unknown. The goal to optimize the cache placement each small base station (SBS) for minimizing system long-term transmission delay. We model this sequential multi-agent decision making problem a multi-armed bandit (MAMAB) perspective. Rather than estimating first and then optimizing strategy, we propose several MAMAB-based algorithms directly learn strategy online both stationary...

A novel method based on momentum estimation is proposed for monopulse angle measurement in radar systems. The direction of arrival (DOA) estimated with orbital angular (OAM) topological charge distribution the array plane. Our proposal compatible field non-plane phase-front. instances sphere phase-front, vortex phasefront and interference pattern induced by phase shifted transmitters are investigated. According to results, exhibits superiority estimating DOA electromagnetic phase-front...

Unmanned aerial vehicle (UAV) equipped with a software defined radio (SDR) device could serve as flexible and inexpensive receiver element, while the whole swarm forms reconfigurable antenna array. However, it is challenging task to perform coherent processing on signals collected by distributed UAVs due high mobility of array structure well inherent time, frequency phase uncertainties between each individual SDR receivers. Here, concise cost-effective method for positioning synchronization...

A position sensorless algorithm based on extended electromotive force (EEMF) is proposed to address the issues of inconsistent models and complex switching algorithms in traditional low speed high control IPMSM. In range, signal injection employed enhance amplitude EEMF. Conversely, halted, ensuring a sustained noise ratio for EEMF throughout start up medium ranges. synchronous axis moving average filter designed effectively suppress harmonics Additionally, error fusion avoid fluctuations...

Previous works on cache-enabled small-cell networks (SCNs) with probabilistic caching often assume that each user is connected to the nearest small base station (SBS) among all have cached its desired content. The may, however, suffer strong interference from other SBSs which do not cache content but are geographically closer. In this work, we investigate issue by deploying multiple antennas at SBS. We first propose a user-centric SBS clustering model where chooses serving only cluster of...