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An improved front-end processing circuit for bioelectrical signal acquisition is proposed for high common mode rejection ratio. The proposed circuit consists of three parts, bias voltage divider, ADC process unit and virtual driven-right-leg circuit. Through partial public DC bias circuit and virtual right leg drive circuit, common mode rejection ratio of the circuit can be improved effectively, as...
In this paper, we propose a localization algorithm in a visible light communication (VLC) system based on the light intensity. Firstly, by developing a VLC platform, the light intensity can be measured to derive a practical equation, which reveals the relationship between the received signal strength (RSS) and the distance from the transmitter to the receiver. However, the practical additive noise...
The scaling up of antennae and terminals in large-scale multiple-input multiple-output (MIMO) systems helps increase the spectral efficiency at the penalty of prohibitive computational complexity. In conventional linear detection such as the minimum mean square error (MMSE) signal detection, the high complexity is mainly caused by solving the inversion of random matrix, especially in large-scale MIMO...
Considering a small-scale fading environment in a dense random wireless network, we investigate the impact of the carrier-sensing threshold on the link performance under the premise of a fixed carrier-sensing range. At first, we assume a close transmitter-receiver distance and model the network nodes as a homogeneous Poisson point process (PPP). Then we present a simple analysis model of the conditional...
We focus on the topology control algorithm in Software-Defined Sensor Networks (SDSNs) and propose a robot-assisted sink nodes relocation algorithm based on the Markov chain. Firstly, by using the software-defined architecture, sensor nodes and network topology can be deployed and updated by the controller which provides global network information and centralized management in real time. Then robot-assisted...
An improved MMSE method aimed to reduce the computational burden is proposed in this paper. In the method, the covariance matrix inversion is approximated by the expansion of N-order polynomials of weighted Kapteyn series which has low truncation errors. In this method, an unconstrained non-linear optimization model is established and an iterative algorithm based on coordinate rotation is used to...
An Ad-hoc mobile cloud can be constructed upon local devices, where devices work together and share resources. However, the deployment of Ad-hoc mobile cloud is hindered by the limitation of mobile devices, such as storage capacities and relatively short battery lives. To overcome such problem, this paper proposes a task assignment algorithm based on particle swarm optimization and simulated annealing...
In this paper, we investigate the impact of the carrier-sensing range on the link performance in a dense wireless network. Considering small-scale fading effects, we fix the carrier-sensing threshold and adaptively adjust the carrier-sensing range. At first, we assume a close transmitter-receiver distance and model the network nodes as a homogeneous Poisson point process (PPP). Then we obtain the...
This paper mainly focuses on developing a joint cloud and wireless resource allocation algorithm based on evolutionary game (JRA-EG) considering mobile terminals' energy consumption and time delay as well as monetary cost in mobile edge computing environment. The mobile terminals (MTs) in different service areas form different populations. In addition, the competition among populations of MTs in different...
Cloud service providers adopt a credit system to allow users to obtain periods of performance bursts without additional cost. For example, the Amazon EC2 T2 instance offers low baseline performance and the capability to achieve short periods of high performance using CPU credits. Once a T2 instance is created and assigned some initial credits, while its CPU utilization is above the baseline threshold,...
Regular zero-forcing (RZF) precoding algorithm is well- known as its low complexity and high performance in massive MIMO systems. However, when the number of transmitting antennas increases, the matrix inversion in RZF leads to high algorithmic complexity. In this paper, we propose an improved Newton iteration to estimate the matrix inversion in RZF precoding. Compared with the traditional Newton...
This paper presents a vehicle positioning method based on joint estimation of time of arrival (TOA) and direction of arrival (DOA) with Vehicle-to-Roadside (V2R) communications. By analyzing the measured channel frequency response (CFR) between vehicles and the roadside unit (RU), the enhanced two-dimensional matrix pencil (2-D MP) algorithm is implemented to design the parameter estimator, which...
In the recent years, the rapid increase of industrial pollution, scientific evaluation of air quality is an important research topic. This is the Bias network applied to the city air quality evaluation of air quality characteristics, establish a directed acyclic graph (DAG), and the air quality data of Shanghai for training and validation, the experimental results coincide with the actual situation,...
A dual-frequency antenna resonated at 0.32 THz and 0.65 THz has been analyzed and simulated for CMOS THz imaging and sensing systems. It includes the two rectified bowtie structures designed at metal and poly-Si layers in standard CMOS technology. Simulation results show that the antenna has the high gain and radiation efficiency and a great impedance matching comparing to the conventional metal dual-band...
In this paper, we propose a modified cooperative localization algorithm based on the sum-product algorithm over a wireless network (SPAWN) in a mixed line-of-sight (LOS) and non-line-of-sight (NLOS) scenario. To alleviate the practical limitations of high computational complexity and increased network traffic, we design a node selection method for the cooperative localization algorithm. This method...
Accurately learned air quality of second-hand housing is very important for home buyer. In order to provide home buyer with a simple and novel approach to get air quality of second-hand housing, this paper firstly presents air quality of second-hand housing forecast method using random forest that is one of the data mining algorithm. According to hedonic price theory, by training the random forest...
In order to reduce the computational complexity of precoding in massive MIMO systems, we propose a Kapteyn-series based regularized zero-forcing (RZF) approach to approximate the matrix inversion. Numerical results show that, when signal to noise ratio (SNR) is low or the error of channel estimation is large, the series-expansion based RZF precoding performs the same as ordinary RZF approach, and...
In order to improve the resolution of electrical impedance tomography, magnetic detection electrical impedance tomography is proposed to monitor human respiration noninvasively with high resolution. By injecting certain current with low frequency into the imaging object, the distribution of magnetic flux density around the object is calculated by finite element method and Biot-Savart's law. Aiming...
Deep neural networks (DNNs) has enabled a variety of artificial intelligence applications. These applications are backed by large DNN models running in serving mode on a cloud computing infrastructure. Given the compute-intensive nature of large DNN models, a key challenge for DNN serving systems is to minimize the request response latencies. This paper characterizes the behavior of different parallelism...
In this paper, two coverage optimization algorithms based on Voronoi diagram are proposed to reduce the energy consumption of software-defined sensor networks (SDSNs). In the first algorithm named Minimax Radius Algorithm (MRA), we try to reduce the sensing radii of nodes as much as possible while preserving the original network coverage. In the second algorithm named Sleeping-based Algorithm (SLA),...
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