Developing an efficient routing protocol over Vehicular Ad-hoc Networks (VANETs) is a very challenging topic and consequently increases the attention of a lot of current researchers. In this work, we propose a cross-l...
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ISBN:
(数字)9781538692790
ISBN:
(纸本)9781538692806
Developing an efficient routing protocol over Vehicular Ad-hoc Networks (VANETs) is a very challenging topic and consequently increases the attention of a lot of current researchers. In this work, we propose a cross-layer algorithm for improving Ad-hoc on Demand Distance Vector (AODV) routing protocol over VANETs. Our algorithm is named as Multi Rate Mobility Aware Routing (MRMAR). It primarily concentrates on establishing routes considering the links available transmission rates and vehicles' speed with respect to source vehicles, thereby establishing fast forwarding and more stable routes. Our algorithm has been evaluated in terms of packet delivery ratio and route losses using NS3 simulator.
Massive MIMO, a key technology for increasing area spectral efficiency in cellular systems, was developed assuming moderately sized apertures. In this paper, we argue that massive MIMO systems behave differently in la...
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—A new class of wideband bandpass filters based on using thick metallic bars as microwave resonators, instead of common microstrip lines, is presented. These bars provide a series of advantages over fully planar prin...
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This paper presents an analysis of the non-linear performance of a zero-bias Schottky diode under multi-tone excitation for wireless power harvesting applications. At low incident power levels, it has been shown that ...
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This paper presents an analysis of the non-linear performance of a zero-bias Schottky diode under multi-tone excitation for wireless power harvesting applications. At low incident power levels, it has been shown that multi-tone inputs increase RF-DC conversion efficiency. Here we extend the theoretical analysis to include a more practical diode model which includes series resistance essential for determining efficiency. We show that the more complex theory approximates the real diode IV curve more accurately at low input power levels than previous models which neglect the series resistance.
Millimeter wave (mmW) communication is a promising solution for providing high-capacity wireless network access. However, the benefits of mmW are limited by the fact that the channel between a mmW access point and the...
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A general information transmission model, under independent and identically distributed Gaussian codebook and nearest neighbor decoding rule with processed channel output, is investigated using the performance metric ...
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A pair of sequences is called a Z-complementary pair (ZCP) if it has zero aperiodic autocorrelation sums at each of the non-zero time-shifts within a certain region, called the zero correlation zone (ZCZ). ZCPs are ca...
Achieving high data rate robust communication in shallow and harbour underwater acoustic (UA) environments can be a demanding challenge in the presence of shipping noise. Noise generated from nearby passing ships can ...
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Achieving high data rate robust communication in shallow and harbour underwater acoustic (UA) environments can be a demanding challenge in the presence of shipping noise. Noise generated from nearby passing ships can lead to impulsive agitations which impair UA communication systems. Utilizing the assumption that impulse noise exhibits sparsity, we realize a compressed sensing (CS) based framework for noise estimation exploiting the pilot sub-carriers of UA orthogonal frequency-division modulation systems. Under the CS framework, we propose the use of a empirical Bayesian approach which first characterizes the statistical properties of shipping noise prior to conceiving an estimate. In addition, we invoke the K-SVD algorithm for dictionary learning. K-SVD iteratively forms a sparse representation for the class of shipping noise signals, which is later used for noise estimation. Numerical results show that the empirical Bayesian based signal recovery algorithm yields the best performance for interference estimation.
To guarantee the safety requirements of autonomous driving vehicles, the efficient and robust sensing information sharing among vehicles is crucial to overcome the environment sensing limitations beyond a single senso...
ISBN:
(数字)9781728131061
ISBN:
(纸本)9781728131078
To guarantee the safety requirements of autonomous driving vehicles, the efficient and robust sensing information sharing among vehicles is crucial to overcome the environment sensing limitations beyond a single sensor or vehicle. The millimeter wave (mmWave) technology is considered as one of the potential mobile broadband communication solutions to solve high data rate sensing information sharing problem among vehicles with the low latency constraint. However, the Doppler shift effect is much more severe, which will deteriorate the performance of vehicular communication links, especially in a high speed vehicle communication scenario in the mmWave frequency band. Therefore, we propose a training sequence based estimator (TSBE) by designing a hybrid structure combining the fixed section and the repeated sequences, aiming to achieve a fast and accurate Doppler shift estimation (DSE) in the mmWave vehicular scenario. The fixed section provides a fast estimation, and the accuracy of DSE can be effectively improved by the random correlation selection of repeated sequences. Furthermore, the key performances of our proposed DSE algorithm are evaluated by both the link-level simulation and the hardware testbed results. Results prove that the mean-squared error of our proposed TSBE algorithm outperforms other conventional algorithms under various signal to noise ratio values. The hardware testbed shows a remarkable performance improvement on the error vector magnitude and the bit error rate using our proposed TSBE and compensation algorithm.
This paper presents the design and development of the hardware and software components of a soil monitoring Wireless Sensor Network (WSN) for medium-scale deployments. It is composed of multiple remote sensing and tra...
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