A5005807352- Target Tracking and Data Fusion in Sensor Networks
- Advanced MIMO Systems Optimization
- Indoor and Outdoor Localization Technologies
- Cooperative Communication and Network Coding
- Advanced Wireless Network Optimization
- Distributed Sensor Networks and Detection Algorithms
- Advanced Wireless Communication Techniques
- Wireless Communication Networks Research
- Blind Source Separation Techniques
- Species Distribution and Climate Change
- Millimeter-Wave Propagation and Modeling
- Underwater Acoustics Research
- Wireless Networks and Protocols
- Advanced Adaptive Filtering Techniques
- Insect Pheromone Research and Control
- Railway Systems and Energy Efficiency
- Infrared Target Detection Methodologies
- Energy Harvesting in Wireless Networks
- Energy Efficient Wireless Sensor Networks
- Animal Behavior and Reproduction
- Water Systems and Optimization
- Video Surveillance and Tracking Methods
- Speech and Audio Processing
- Direction-of-Arrival Estimation Techniques
- Mobile Ad Hoc Networks
University of Michigan
2019-2024
University of Connecticut
2024
Sogang University
2009-2020
Pohang University of Science and Technology
2013-2015
Soongsil University
2009
Stony Brook University
2006
State University of New York
2006
In this paper, we evaluate handover (HO) performance when apply various time-to-trigger (TTT) methods in self-organizing network (SON)-based long term evolution (LTE) systems. Although TTT can mitigate the wasteful ping-pong HO effect, it also cause undesirable radio link failure (RLF) due to delayed HO. The optimal timings that produce lowest rate within allowable RLF vary depending on user equipment (UE) speeds and neighboring cell configurations. To achieve efficient timings, propose...
We propose approaches to the problem of multi-paths beam tracking in millimeter-wave (mmWave) mobile communications. Precise angle is necessary take advantage beamforming technology this mmWave band. The channel a highly nonlinear function with respect state that comprises and path gain. Therefore, challenging crucial. couple particle filtering frameworks for show outperforming result an auxiliary approach over recently proposed approaches.
Currently, LEDs are popularly employed in our daily life due to various advantages. can also be for wireless data communications (i.e., VLC). Based on these LED-VLC systems, we obtain high-performance positioning systems beyond the performance of RF or global systems. In this article, present a brief overview approaches VLC and propose maximum likelihood approach system. main technologies employ triangulations image sensors receiver The least squares method is triangulation ways, enhance by...
In this letter, we propose a new approach to tracking target that maneuvers based on the multiple-constant-turns model. Usually, interactive-multiple-model (IMM) algorithm extended Kalman filter (IMM-EKF) is employed for problem with successful performance. Recently proposed IMM-particle filtering (IMM-PF) showed outperforming results over IMM-EKF nonlinear problem. The in letter framework of PF adopts minimax strategy IMM-PF. decreased variance weights particles provides robustness against...
Each fall, millions of monarch butterflies across the northern US and Canada migrate up to 4,000km overwinter in specific mountain peaks central Mexico. To track monarchs precisely study their navigation, a tracker must obtain daily localization butterfly as it progresses on its three-month journey. And, perform this task while having weight tens milligrams (mg) measuring few millimeters (mm) size avoid interfering with monarch's flight. This paper proposes mSAIL, 8 × 2.6mm 62mg embedded...
This paper provides a scheme for self-configuration of neighbor cell list (NCL) in long term evolution (LTE) systems. Especially, an initial NCL configuration is proposed. In traditional systems, system operator manually determines and uploads it into base station, which not efficient many respects. By utilizing E-UTRAN NodeB (eNB) scanning, can be autonomously generated reflecting the real radio environment. We also investigate effect "the decision threshold" "cell types" on performance....
We propose Gaussian particle filtering (PF) approach for estimating carrier frequency offset (CFO) in OFDM systems. PF is more powerful especially nonlinear problems where classical approaches (e.g., maximum likelihood estimators) may not show optimal performance. Standard undergoes the impoverishment (PI) problem resulting from resampling process this static parameter (i.e., CFO) estimation. (GPF) avoids PI because needed algorithm. that GPF outperforms current estimation problem.
In this paper, cost reference particle filter (CRPF) approach in estimating 1-D "tilt" of a vehicle attitude is proposed. CRPF has couple advantageous features compared to standard filtering; particularly, it does not require noise statistics its application. H_ (HF) common as that CRPF. The extended HF (EHF) employed, which uses the approximate linearization nonlinear measurement function Kalman extended. performance both approaches investigated and paper. Low-cost "accelerometer"...
We propose a new approach for maximizing system throughput while simultaneously obtaining optimal-coverage in terms of minimal radio link failure (RLF) rates 5G heterogeneous ultra-dense networks (HUDN). To overcome the trade-off issue between maximization and coverage optimization where we can hardly achieve both optimality together, employ joint method "iteration convex based power control (PC)," "advanced range expansion (RE) technique." This algorithm works via self organizing (SON)...
Summary We provide a tutorial for number of variants the extended Kalman filter (EKF). In these methods, so called, sigma points are employed to tackle nonlinearity problems. The exactly represent mean and variance state distribution function in dynamic equation. initially developed EKF variant, that is, unscented (UKF) (also called point filter) shows enhanced performance compared with conventional literature. Another which is not well known, central difference (CDKF) whose way approximate...
In this paper, we propose self-organizing schemes for the initial configuration of neighbor cell list (NCL), maintenance NCL, and physical identifier (PCI) allocation in heterogeneous networks such as long term evolution systems where lower transmission power nodes are additionally deployed macrocell networks. Accurate NCL is required efficient PCI avoiding handover delay redundantly creased system overhead. Proposed based on evolved universal terrestrial radio access network NodeB (eNB)...
Summary In this paper, we propose a new framework of particle filtering that adopts the minimax strategy. approach, minimize maximized risk, and process risk maximization is reflected when computing weights particles. This scheme results in significantly reduced variance particles enables robustness against degeneracy problem, can obtain improved quality The proposed approach robust environmentally adverse scenarios, particularly state target highly maneuvering. Furthermore, reduce...
There are a number of approaches to estimating carrier frequency offset (CFO) that causes inter-carrier interference (ICI) in orthogonal division multiplexing (OFDM) systems: self-cancelation method, the extended Kalman filter (EKF), particle filter, H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">infin</sub> (HF), etc. In particular, HF is interest because prior statistical noise information not necessarily required its application. Cost...
In this paper, we propose an H-infinity (H∞) filtering approach for the prediction of bias in post-processing model outputs and past measurements. This method adopts a minimax strategy that is solution zero-sum games. The proposed H∞ minimizes maximum possible errors whereas recently Kalman (KF) mean square errors. does not need information noise statistics unlike based on KF, while training process required. We show outperforms KF experiments by applying real weather data Korea.
Massive multiple-input-multiple-output (MMIMO) in the mmWave band is an essential technique to achieve desired performance for 5G new radio (NR) systems. To employ MMIMO technology, important challenge maintaining seamless mobility users because we need consider beam-switching within a cell besides handover between cells. For management NR systems, 3GPP specified beam-level-mobility scheme that includes beam pairing and maintenance transmitter (Tx) receiver (Rx) pair. We propose...
Details of Monarch butterfly migration from the U.S. to Mexico remain a mystery due lack proper localization technology accurately localize and track migration. In this paper, we propose deep learning based algorithm that can estimate butterfly's daily location by analyzing light temperature sensor data log continuously obtained an ultra-low power, millimeter (mm)-scale attached butterfly. To train test proposed neural network multi-modal fusion algorithm, collected over 1500 days real world...
본 논문에서는 이종망 환경에서 펨토셀에 전력제어를 적용하면서도 매크로셀 단말이 받는 간섭의 영향을 완화하도록 ABSF(Almost Blank Subframes)를 추가적으로 적용하는 경우의 성능을 분석하였다. 모의실험을 통해 제안하는 방법으로 펨토셀의 용량 증대 등 설치 목적은 달성하면서도 단말에 미치는 크게 줄일 수 있음을 확인하였다. 단, 전체 네트워크의 용량은 가능한 최대 용량에 비해 소폭 감소하였다. We propose joint employment of power control and almost blank subframes (ABSF) for femtocells to mitigate the interference femto-cells a macrocell in heterogeneous networks. obtained improved performance terms both capacity reduced by computer simulations while we...