The emerging Internet of Things (IoT) applications, such as smart manufacturing and home, lead to a huge demand on the provisioning low-cost high-accuracy positioning navigation solutions. Inertial measurement unit (IMU) can provide an accurate inertial solution in short time but its error increases fast with due cumulative accelerometer measurement. On other hand, ultrawideband (UWB) accuracy will be affected by actual environment may uncertain jumps even under line-of-sight (LOS)...

Energy efficiency(EE) has caught more and attention in future wireless communications due to steadily rising energy costs environmental concerns. In this paper, we propose an EE scheme with proportional fairness for the downlink multiuser distributed antenna systems (DAS). Our aim is maximize EE, subject constraints on overall transmit power of each remote access unit (RAU), bit-error rate (BER), data rates. We exploit multi-criteria optimization method systematically investigate...

This letter investigates the tradeoff between energy efficiency (EE) and spectral (SE) in downlink multiuser distributed antenna systems (DAS). Given SE requirement maximum power limit, a constrained optimization problem is formulated to maximize EE. Because of multi-dimensional non-convex nature problem, we first transform multicriteria with high complexity into simpler single objective problem. Then novel allocation algorithm proposed achieve Simulation results demonstrate effectiveness...

In this paper, we develop an energy-efficient resource-allocation scheme with proportional fairness for downlink multiuser orthogonal frequency-division multiplexing (OFDM) systems distributed antennas. Our aim is to maximize energy efficiency (EE) under the constraints of overall transmit power each remote access unit (RAU), data rates, and bit error rates (BERs). Because nonconvex nature optimization problem, obtaining optimal solution extremely computationally complex. Therefore, a...

In this paper, we propose a transmit covariance optimization method to maximize the energy efficiency (EE) for single-user distributed antenna system, where both remote access units (RAUs) and user are equipped with multiple antennas. Unlike previous related work, rate requirement RAU selection taken into consideration. Here, total circuit power consumption is number of active RAUs. Given setup, first an optimal solve EE problem under fixed set More specifically, split three subproblems,...

Wireless-powered communication networks (WPCNs) are a promising technology supporting resource-intensive devices in the Internet of Things (IoT). However, their transmission efficiency is very limited over long distances. The newly emerged intelligent reflecting surface (IRS) can effectively mitigate propagation-induced impairment by controlling phase shifts passive reflection elements. In this article, we integrate IRS into WPCNs to assist both energy and information transmission. We aim...

In this paper, we discuss three different design criteria for a distributed antenna system (DAS). They include maximizing throughput under the constraint of overall transmit power, minimizing power while guaranteeing minimum spectral efficiency (SE) requirements, and energy (EE) constraints SE requirements power. The optimization problems first two are signomial programming (SP) when considering interference among mobile stations (MSs), which nonlinear nonconvex do not lead to closed-form...

Orthogonal Frequency Division Multiplexing (OFDM) is designed to combat the effect of multipath reception, by dividing wide band frequency selective fading channel into many narrow flat sub- channels, which improves spectral efficiency and significantly mitigates intersymbol interference (ISI). However, OFDM can not meet demand for 5G heterogeneous service scenarios since it has a high out-of-band emission large peak-to-average power ratio (PAPR), only supports one kind waveform parameter in...

Capacitive proximity sensor uses electric fields to detect contactless objects like human body. Owing its simplicity and low cost, it is an attractive choice for the application of human-computer interaction. For existing capacitive systems, their detection ranges are less than 20 cm that cannot meet requirements applications long distance sensing. This motivates us develop a new system interaction in this paper. A array, which consists 4 × units with comb shapes, first designed. The...

In recent years, a lot of power allocation algorithms have been proposed to maximize spectral efficiency (SE) and energy (EE) for the distributed antenna systems (DAS). However, traditional iterative are difficult be implemented in reality because their high computational complexity. With development machine learning algorithms, it has proved that method excellent ability low complexity, which can approximate well easily reality. this paper, we propose new deep neural network (DNN) model...

In this paper, we investigate the great potential of combination machine learning technology and wireless communications. Currently, many researchers have proposed various optimization algorithms on resource allocation for distributed antenna systems (DASs). However, existing methods are mostly hard to implement because their high computational complexity. a new system model is considered scenario DAS, which more practical with its low We utilize k-nearest neighbor (k-NN) algorithm based...

A wireless-powered communication network (WPCN) provides sustainable power solutions for energy-intensive Internet of Things (IoT) devices in remote or inaccessible locations. This technology is particularly beneficial applications smart transportation and cities. Nevertheless, WPCN experiences performance degradation due to severe path loss inefficient long-range energy information transmission. To address the limitation, this paper investigates an intelligent reflecting surface...

A dual‐band antenna with good stopband characteristics is proposed. Different from conventional antennas, two transverse slots are etched on a substrate integrated waveguide (SIW) cavity. Two half modes excited to achieve operation and non‐radiating modes, TE 110 mode an even 120 mode, induced generate radiation nulls. With the aid of nulls, proposed design including gain band‐edge selectivity significantly improved. fabricated prototype measured. The measured centred frequency passbands at...

This letter considers the transmission design in unmanned aerial vehicle (UAV) assisted cloud radio access network (C-RAN). We aim to maximize data rate of system by optimizing user equipment (UE) association, UAV placement, UEs' and UAVs' transmit power. take UAVs as flying remote heads (RRHs) serve UEs on ground sum all UEs. In order solve this non-convex problem, we propose an iterative algorithm based successive convex approximation (SCA) alternating methods. The numerical results show...

In this paper, intelligent reflecting surface is deployed in simultaneous wireless information and power transfer (SWIPT) system to improve the energy harvesting performance. We investigate robust beamforming design considering impact of imperfect cascaded channels. maximize minimum received among all receivers ensure fairness, while guaranteeing worst-case rate requirement. To address with coupling effect multiple variables optimization problem, alternate method utilized decouple problem...

This paper investigates Energy Harvesting Efficiency (EHE) maximization problems for Reconfigurable intelligent surface (RIS) aided Simultaneous Wireless Information and Power Transfer (SWIPT). system focuses on the imperfect RIS-related channel explores robust beamforming design to maximize EHE of all energy receivers while respecting maximum transmit power Access Point (AP), RIS phase shift constraints, maintaining a minimum signal-to-interference plus noise ratio information under both...

In this paper, we consider the combination of machine learning (ML) and wireless communication. We design a generated clusters model in distributed antenna system (DAS), which is constructed by two different ML clustering algorithms, i.e., k-means algorithm Gaussian mixture model-based (GMM) algorithm. Under communication scenario DAS with model, investigate power allocation optimization problems interference maximizing spectral efficiency (SE) energy (EE) DAS, respectively. compare SE EE...

In this letter, we propose a suboptimal resource allocation scheme for the uplink vehicular communications networks. Our aim is to maximize minimum throughput of all vehicle-to-vehicle (V2V) links under constraints vehicle-to-infrastructure (V2I) link requirements. The optimization problem has non-linear and non-convex objective function cannot obtain optimal solutions directly. To solve problem, first V2V partitioning method from view point game theory. Then, an efficient power algorithm...