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.

Token responses to gendered newsrooms Factors in the career-related decisions of female newspaper sports journalists

Abstract: Female sports journalists work as tokens in gendered organizations where masculinity is integral to hierarchical logic and newswork processes. Through in-depth interviews, this longitudinal study e...

An impressionistic mapping of information behavior with special attention to contexts, rationality, and ignorance

Abstract: Recent years have seen an explosion of interest in human information behavior in part attributable to the rapid development of the Internet and associated information technologies. Concomitantly there has been substantial growth in theoretic frames, research, and substantive models. However, these approaches have often been fragmentary, dependent on the goals of disparate disciplines that are interested in differing aspects of information behavior. They often have been rooted in the most rational of contexts, libraries, where individuals come with a defined problem, or information technology systems, that have their own inherent logic. Attempts to extend this work to everyday life contexts often run into disquieting findings related to the benefits of ignorance and the seeming irrationality of human information behavior. A broader view of our social world leads us to richer policy implications for our work. We live in exciting times, in an increasingly flattened world, where the ability for people to assimilate information they find into coherent personal strategies is perhaps the critical modern survival skill.

The Gender War in U.S. Sport: Winners and Losers in News Coverage of Title IX

Abstract: Title IX, the 1972 federal law that guarantees girls and young women access to scholastic sporting opportunities, has been the catalyst for explosive growth in female athletics. Despite evidence that Title IX has opened doors for female athletes without closing them to boys, the law continues to be a source of controversy. This research explores the ways stories in U.S. regional and national newspapers framed Title IX issues between 2002 and 2005, critical years for the civil-rights legislation because of political and legal activity at the national level. Content analysis found that although most stories avoided negative framing devices, stories about the Title IX Commission during 2002 and 2003 more often used negative framing that could perpetuate misunderstanding about the law. Further, paper size, placement of stories and reporter gender were factors in the way stories framed and sourced Title IX coverage. This study points to the need of journalists for a better understanding of the law and its impa...

Joint Optimization of Relay Deployment, Channel Allocation, and Relay Assignment for UAVs-Aided D2D Networks

Abstract: Unmanned aerial vehicles (UAVs) can be deployed in the air to provide high probabilities of line of sight (LoS) transmission, thus UAVs bring much gain for wireless communication systems. In this paper, we study a UAVs-aided self-organized device-to-device (D2D) network. Relay deployment, channel allocation and relay assignment are jointly optimized, aiming to maximize the capacity of the relay network. On account of the coupled relationship between the three optimization variables, an alternating optimization approach is proposed to solve this problem. The original problem is divided into two sub-problems. The first one is that of optimizing the channel allocation and relay assignment with fixed relay deployment. Considering without central controller, a reinforcement learning algorithm is proposed to solve this sub-problem. The second sub-problem is that of optimizing the relay deployment with fixed channel allocation and relay assignment. Assuming no knowledge of channel model and exact positions of the communication nodes, an online learning algorithm based on real-time capacity is proposed to solve this sub-problem. By solving the two sub-problems alternately and iteratively, the original problem is finally solved. Simulation results show that the UAVs-aided D2D network can achieve a high capacity via the joint optimization of relay deployment, channel allocation, and relay assignment.

Robust Secure Beamforming for Wireless Powered Cognitive Satellite-Terrestrial Networks

Abstract: This article addresses the security problem for wireless powered cognitive satellite-terrestrial network, where a multibeam satellite sub-network shares the portion of millimeter wave bands with multiple cellular networks, each consisting of a base station, several mobile users (MUs) and energy receivers (ERs). Considering that the ERs are potential eavesdroppers of the MUs, and only imperfect knowledge of the angles of departure for the wiretap channels is available, we aim at maximizing aggregated rate of the considered network while guaranteeing the signal-to-interference-plus-noise ratio requirements of the MUs, the energy harvesting thresholds and the secrecy constraints at ERs. Since the formulated optimization problem is mathematically intractable, we exploit a discretization method and the Taylor expansion method to transform the non-convex objective and constraints into convex ones, and then propose an iterative beamforming (BF) algorithm to solve the problem. Furthermore, we present a combined multibeam scheme to obtain suboptimal BF weight vectors with low computational burden. Finally, simulation results reveal that the proposed BF schemes can efficiently improve the aggregated rate with fast convergence compared to the benchmark schemes.