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Institution

Penn State College of Communications

About: Penn State College of Communications is a based out in . It is known for research contribution in the topics: Relay & Cognitive radio. The organization has 2106 authors who have published 2119 publications receiving 24693 citations.


Papers
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Journal ArticleDOI
TL;DR: In this article, an artificial neural network (ANN) model is built for predicting PSA system performance and further optimizing the operation parameters of the PSA cycle, and an optimization algorithm based on the ANN model which was trained on the data produced from Aspen model is used to train ANN model.

74 citations

Journal ArticleDOI
TL;DR: In this letter, secure beamforming designs are investigated in a multiple-input multiple-output secrecy channels with simultaneous wireless information and power transfer and an SCA-based iterative algorithm is proposed in the perfect channel state information (CSI) case to obtain a near-optimal rank-one solution.
Abstract: In this letter, secure beamforming designs are investigated in a multiple-input multiple-output secrecy channels with simultaneous wireless information and power transfer. In order to achieve fairness among different multiple energy harvesting receivers, the minimum harvested energy is maximized under the secrecy rate requirements. In particular, in order to reduce the computational complexity of the semidefinite programming problem, a successive convex approximation (SCA) iterative algorithm is proposed in the perfect channel state information (CSI) case to obtain a near-optimal rank-one solution. Moreover, the original problem is extended to the imperfect CSI case by incorporating a norm-bounded error model, where an SCA-based iterative algorithm is also proposed. Simulation results reveal that the SCA-based iterative algorithm achieves the same performance as the semidefinite relaxation method with reduced complexity.

74 citations

Journal Article
TL;DR: The results from this analysis provide one perspective of the field of medical informatics and are used to suggest future research directions to address issues related to better understanding of communication and social networks in the field to inform better provision of information services.
Abstract: Objective: This study presents the results of an author co-citation analysis of the interdisciplinary field of medical informatics. Methods: An author co-citation analysis was conducted for the years 1994 to 1998, using the fifty most-cited American College of Medical Informatics fellows as an author population. Co-citation data were calculated for every author pair, and multivariate analyses were performed to ultimately show the relationships among all authors. A multidimensional map was created, wherein each author is represented as a point, and the proximity of these points reflects the relationships of authors as perceived by multiple citers. Results and Conclusion: The results from this analysis provide one perspective of the field of medical informatics and are used to suggest future research directions to address issues related to better understanding of communication and social networks in the field to inform better provision of information services.

74 citations

Journal ArticleDOI
TL;DR: In this paper, two parasitic mushroom-type arrays are incorporated along with the two radiating edges of a main radiating patch, and the current distributions on those metal patches are nearly uniform so that high gains are achieved over the entire operating bandwidth.
Abstract: This letter presents a novel broadband microstrip patch antenna with a simple geometry. Two parasitic mushroom-type arrays are incorporated along with the two radiating edges of a main radiating patch. First, thanks to the mushroom-type structure, a new resonant mode, characterized as quasi-TM $_{30}$ mode, is generated. Besides, the main radiating patch produces the original TM $_{10}$ mode. Thus, wideband performance is realized on the basis of the two combined modes. Second, the current distributions on those metal patches are nearly uniform so that high gains are achieved over the entire operating bandwidth. Measured results indicate that the enhanced impedance bandwidth is from 11.9 to 18.2 GHz, which covers the whole Ku-band. Meanwhile, a nearly constant peak-radiating gain between 10 and 10.5 dBi at broadside radiation is obtained. The proposed antenna maintains the advantages of wide bandwidth, ease of fabrication, flat and high gains, and a low profile less than ${\lambda _0}$ /13 thickness substrate.

73 citations

Journal ArticleDOI
TL;DR: Simulation results show that the proposed RSBF scheme can effectively improve the ASR and also outperforms other benchmark schemes, for both colluding and noncolluding eavesdropping scenarios.
Abstract: In this letter, we investigate the robust and secure beamforming (RSBF) in an intelligent reflecting surface (IRS) aided millimeter wave (mmWave) multiple input single output (MISO) system, where multiple single antenna eavesdroppers (Eves) are arbitrarily distributed nearby the legitimate receiver (Bob). Considering the channel state information (CSI) of cascaded wiretap channels is imperfectly known at the legitimate transmitter (Alice), the RSBF design problems to maximize the worst case of achievable secrecy rate (ASR) are formulated under the total transmission power and unit-modulus constraints. Since the problems are difficult to solve optimally due to their non-convexity and coupled variables, we substitute the wiretap channels by a weighted combination of discrete samples and propose a RSBF scheme based on alternating optimization and semidefinite relaxation (SDR) techniques, for both colluding and noncolluding eavesdropping scenarios. Simulation results show that the proposed RSBF scheme can effectively improve the ASR and also outperforms other benchmark schemes.

73 citations


Authors

Showing all 2106 results

NameH-indexPapersCitations
Xiang-Gen Xia7274420563
Wei Xiong5836410835
S. Shyam Sundar5321010261
Mary Beth Oliver401516854
James E. Katz391528957
Qihui Wu392957001
Timothy L. Sellnow371375557
Homero Gil de Zúñiga371348158
J. David Johnson311003924
Zizi Papacharissi30639078
Guoru Ding301554729
Jinlong Wang291273201
Yueming Cai292063198
Yuhua Xu291704196
Panlong Yang271912374
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20223
2021181
2020246
2019240
2018225
2017245