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Localization errors can play an important role in measurements of radio propagation or spectrum utilization, especially in urban environment where GPS localization accuracy is highly varying. In this paper we present a low cost and simple method for mitigating the impact of localization errors, based on multiple GPS receivers. The presented results are based primarily on performance evaluation of...
In recent years, there has been an increasing awareness to traffic localization techniques driven by the emergence of heterogeneous networks (HetNet) with small cells deployment and the green networks. The localization of hotspot data traffic with a very high accuracy is indeed of great interest to know where the small cells should be deployed and how can be managed for sleep mode concept. In this...
This paper presents a unique probing scheme and a rate adjustment algorithm that can be used for estimating the available bandwidth (ABW) of an end-to-end network path more accurately and non-intrusively. The proposed algorithm is based on the well-known concept of self-induced congestion and it features a unique probing train structure in which there is a region where packets are sampled more frequently...
In this contribution, we present a simple but efficient importance sampling technique to speed up Monte Carlo simulations for bit error rate estimation of orthogonal space-time block codes on spatially correlated Nakagami-m fading channels. While maintaining the actual distributions for the channel noise and the data symbols, we derive a convenient biased distribution for the fading channel that is...
This paper presents a novel cooperative positioning (CP) method to increase localization accuracy in vehicular ad-hoc networks (VANET). The proposed method uses a semi-extended Kalman filter to fuse position data and distance information of nodes in the network. This paper also introduces a new distance measurement method using the time-difference-of-arrival in positive orthogonal codes. Simulation...
In this paper, we apply learning techniques to predict link quality evolution in a WSN and take advantage of wireless links with the best possible quality to improve the packet delivery rate. We model this problem as a forecaster prediction game based on the advice of several experts. The forecaster learns on-line how to adjust its prediction to better fit the environment metric values. Simulations...
In this paper, we propose a homography-aware semi-supervised formulation for the logo-based indoor localization problem using smartphone cameras. Our method labels unmatched feature points detected inside the logo parts of query images with their estimated 3D coordinates. The 3D coordinates are computed using the homography estimated from the matched features. We demonstrate the accuracy improvement...
Pedestrian dead reckoning is a method of localization that uses inertial sensors to estimate the travelled distance from the previous position. This method can estimate the position when GPS or WiFi is not available such as indoor. However, pedestrian dead reckoning is subject to cumulative errors. In this paper, we exploit the fact that most of lights are located regularly in indoor environments...
Nowadays, the population of the elderly people is increasing in Japan. The system to protect an elderly person who is living alone is needful. The bigger part of the accident in their house is falling. There are several kinds of products to detect a person's fall. However, there are some problems that it does not have enough detection range and privacy. Array antenna is an antenna, which detects radio...
Nowadays, aging society is a big problem and demand for monitoring systems is becoming higher. Under this circumstance, a fall is a main factor of accidents at home. From this point of view, we need to detect falls expeditiously and correctly. However, usual methods like using a video camera or a wearable device have some issues in privacy and convenience. In this paper, we propose a system of fall...
There have been a lot of attention paid to health and safety, such as dry eye syndrome or falling asleep while driving. Blinks are the physiological signal that reflects the degree of concentration or drowsiness, and thus the blink detection system is expected to get blink information. In many blink detection systems it is necessary to contact the equipment or use with a camera and the feeling of...
Designing an efficient MIMO decoder for higher order MIMO system such as 8×8 is a big challenge. The Group Detection (GD) method has been considered as a good choice because it balances well the trade-off between detection accuracy and computational complexity. This method converts the higher order MIMO channel matrix into several lower order matrices and then decodes these lower order matrices separately...
Heterogeneous wireless systems such as a combination of mobile broadband wireless access (MBWA) and wireless local area network (WLAN) are candidates to attain the large capacity in the next generation mobile communication systems. For capacity expansion, small cells of multiple wireless network are deployed densely in these systems. Because a number of the cells overlap, users must discover lots...
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