Evolving Internet-of-Things (IoT) applications often require the use of sensor-based indoor tracking and positioning, for which performance is significantly improved by classifying type surrounding environment. This classification high importance since it leads to efficient power consumption when operating deployed IoT sensors. letter presents a machine learning approach environment based on real-time measurements radio frequency (RF) signal in realistic Several methods are explored...

Human activity recognition (HAR) from sensor readings has proved to be an effective approach in pervasive computing for smart healthcare. Recent approaches ambient assisted living (AAL) within the home or community setting offers people prospect of independent care and improved quality living. However, most available AAL systems are limited by several factors including system complexity computational cost. In this paper, a simple, novel HAR framework using multivariate Gaussian is proposed....

Evolving Internet-of-Things (IoT) applications often require the use of sensor-based indoor tracking and positioning, for which performance is significantly improved by identifying type surrounding environment. This identification high importance since it leads to higher localization accuracy. paper presents a novel method based on cascaded two-stage machine learning approach highly-accurate robust in environments using adaptive selection combination RF features. In proposed method, first...

Computational efficiency is a major challenge for evolutionary algorithm (EA)-based antenna optimisation methods due to the computationally expensive electromagnetic simulations. Surrogate model-assisted EAs considerably improve efficiency, but most of them are sequential methods, which cannot benefit from parallel simulation multiple candidate designs further speed improvement. To address this problem, new method, called surrogate hybrid differential evolution (PSADEA), proposed. The...

Abstract Efficiency improvement is of great significance for simulation-driven antenna design optimization methods based on evolutionary algorithms (EAs). The two main efficiency enhancement exploit data-driven surrogate models and/or multi-fidelity simulation to assist EAs. However, the latter either need ad hoc low-fidelity model setup or have difficulties in handling problems with more than a few variables, which barrier industrial applications. To address this issue, generalized three...

Abstract A modified indoor path loss prediction model is presented, namely, effective wall model. The compared to other models using simulation data and real‐time measurements. Different operating frequencies antenna polarizations are considered verify the observations. In part, shows best performance among as it outperforms 2 times dual‐slope model, which second performance. Similar observations were recorded from experimental results. Linear attenuation one‐slope have similar behavior, two...

Internet-of-Things (IoT) applications often require the use of sensor-based indoor tracking and positioning, for which performance is significantly enhanced by identifying type surrounding environment. This letter develops a highly accurate computationally efficient method localization based on novel two-stage deep learning approach. In first stage, convolutional neural network (CNN) designed to perform environment identification extracting inherent features real dataset obtained from...

Conventional Integrated Sensing and Communication (ISaC) systems typically perform target detection by processing reflected signals that are transmitted the ISaC system itself. However, such require sharing of resources, as bandwidth, power, antennas, between sensing communication subsystems, which leads to mutual interference necessitates using advanced signal techniques optimize their performance. This article introduces a novel approach in is performed at base station (BS) solely...

Particulate Matters PM $$_{2.5}$$ and $$_{10}$$ present a major health environmental concern in urban regions. This research compares machine learning time series models, such as Decision Tree (DT), Random Forest (RF), Support Vector Regression (SVR), Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM), Facebook Prophet, for predictions of these matters. Their performances have been evaluated over 1-2 hours, 1 day week forecasting periods using five years real-life data from...

This paper proposes a new low complexity angle of arrival (AOA) method for signal direction estimation in multi-element smart wireless communication systems. The estimates the AOAs received signals directly from with significantly reduced since it does not need to construct correlation matrix, invert matrix or apply eigen-decomposition, which are computationally expensive. A mathematical model proposed is illustrated and then verified using extensive computer simulations. Both linear...

This study presents a compact broadband wide-slot antenna with left-hand circular polarization compatible both LTE 42 and 43 standards of 5G mid-band applications. The proposed is fabricated on an FR4 dielectric substrate overall dimensions <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$0.41\lambda _{o}\times 0.36\lambda 0.02\lambda _{o}$ </tex-math></inline-formula> , where notation="LaTeX">$\lambda the...

High Peak-to-Average-Power Ratio (PAPR) of transmitted signals is a common problem in broadband telecommunication systems using an orthogonal frequency division multiplexing (OFDM) modulation scheme, as it increases transmitter power consumption. In consumer applications where impacts mobile terminal battery life and infrastructure running costs, this major factor customer satisfaction. Companding techniques have been recently used to alleviate high PAPR. paper, companding scheme with...

This paper presents a realistic indoor multipath environment classification based on practical RF measurements. The is correlation statistics that accounts for grid spacing and system bandwidth. Channel Transfer Function (CTF) Frequency Coherence (FCF) are obtained each grid, then inter-correlated to obtain the spatial coherence spectrum which shows unique pattern distinguishes LOS open space cluttered.

Efficient deployment of Internet Things (IoT) sensors primarily depends on allowing the adjustment sensor power consumption according to radio frequency (RF) propagation channel which is dictated by type surrounding indoor environment. This paper develops a machine learning approach for environment classification exploiting support vector (SVM) based RF signatures computed from real-time measurements. Results obtained demonstrate that combination received signal strength (RSS) and transfer...

Location fingerprinting has received considerable attention as a practical solution to the indoor localization problem. Specifically Received Signal Strength (RSS) based been studied extensively and some improvements in performance have reported for certain pattern recognition algorithms. Recently channel impulse response (CIR) due its potential significant accuracy. The evaluation of CIR fingerprinting, however, not addressed adequately literature. This paper presents location an...

Four miniaturized four-element multiple-input multiple-output (MIMO) antenna designs are proposed, designed, and fabricated with dimensions of 26 mm x 0.8 each. The first MIMO design operates at 3.5 GHz, while the second 5.2 GHz. combined into a third that can be reconfigured to operate either GHz or A new concept balance is introduced address issue small ground faced by previous designs. This applied design, resulting in fourth reconfigurable operating demonstrates good impedance matching...

Millimeter-wave indoor propagation characteristics including path loss models and multipath delay spread values for systems using directional omnidirectional antennas are presented. The performance of the four 5G candidate frequencies, 28 GHz, 39 60 GHz 73 investigated in line-of-sight (LOS) non-line-of-sight (NLOS) scenarios published real time frequency measurements conducted environments. Comparisons made against simulation data obtained from 3D Ray Tracing Wireless InSite software over...

RF location fingerprinting has received significant attention as a practical solution to the indoor localization problem due its use of available wireless infrastructure (WLANs) and simplicity measuring Received Signal Strength (RSS) fingerprint. The improvement RSS-based been limited RSS being weak fingerprint structure; where it reported in literature that using more complex pattern recognition algorithms provides diminishing gains. Recently channel-based fingerprints such channel impulse...

In this paper, the gyrotropic bi-anisotropy of chiral medium in substrate constitutive parameters (ξc and ηc ) a rectangular microstrip patch antenna is introduced order to observe its effects on complex resonant frequency, half-power b

The antenna presented in this study is a compact wideband monopole with circular polarization that can be used across the whole bandwidth. A rectangular C-shaped patch partially covered by ground plane proposed planar antenna. Inserting stub to plane, etching slit at patch, and adding semicircular top of feed line increase impedance bandwidth (BW) axial ratio (ARBW). An FR4 substrate overall dimensions 25 mm×25 mm×1.6 mm create antenna's observed BW 70% (4.55 GHz 4.3-8.85 band), while...