Dissertations / Theses on the topic '130299 Communication not elsewhere classified'

Wireless communication systems have undergone fast development in recent years. Based on GSM/EDGE and UMTS/HSPA, the 3rd Generation Partnership Project (3GPP) specified the Long Term Evolution (LTE) standard to cope with rapidly increasing demands, including capacity, coverage, and data rate. To achieve this goal, several key techniques have been adopted by LTE, such as Multiple-Input and Multiple-Output (MIMO), Orthogonal Frequency-Division Multiplexing (OFDM), and heterogeneous network (HetNet). However, there are some inherent drawbacks regarding these techniques. Direct conversion architecture is adopted to provide a simple, low cost transmitter solution. The problem of I/Q imbalance arises due to the imperfection of circuit components; the orthogonality of OFDM is vulnerable to carrier frequency offset (CFO) and sampling frequency offset (SFO). The doubly selective channel can also severely deteriorate the receiver performance. In addition, the deployment of Heterogeneous Network (HetNet), which permits the co-existence of macro and pico cells, incurs inter-cell interference for cell edge users. The impact of these factors then results in significant degradation in relation to system performance. This dissertation aims to investigate the key techniques which can be used to mitigate the above problems. First, I/Q imbalance for the wideband transmitter is studied and a self-IQ-demodulation based compensation scheme for frequency-dependent (FD) I/Q imbalance is proposed. This combats the FD I/Q imbalance by using the internal diode of the transmitter and a specially designed test signal without any external calibration instruments or internal low-IF feedback path. The instrument test results show that the proposed scheme can enhance signal quality by 10 dB in terms of image rejection ratio (IRR). In addition to the I/Q imbalance, the system suffers from CFO, SFO and frequency-time selective channel. To mitigate this, a hybrid optimum OFDM receiver with decision feedback equalizer (DFE) to cope with the CFO, SFO and doubly selective channel. The algorithm firstly estimates the CFO and channel frequency response (CFR) in the coarse estimation, with the help of hybrid classical timing and frequency synchronization algorithms. Afterwards, a pilot-aided polynomial interpolation channel estimation, combined with a low complexity DFE scheme, based on minimum mean squared error (MMSE) criteria, is developed to alleviate the impact of the residual SFO, CFO, and Doppler effect. A subspace-based signal-to-noise ratio (SNR) estimation algorithm is proposed to estimate the SNR in the doubly selective channel. This provides prior knowledge for MMSE-DFE and automatic modulation and coding (AMC). Simulation results show that this proposed estimation algorithm significantly improves the system performance. In order to speed up algorithm verification process, an FPGA based co-simulation is developed. Inter-cell interference caused by the co-existence of macro and pico cells has a big impact on system performance. Although an almost blank subframe (ABS) is proposed to mitigate this problem, the residual control signal in the ABS still inevitably causes interference. Hence, a cell-specific reference signal (CRS) interference cancellation algorithm, utilizing the information in the ABS, is proposed. First, the timing and carrier frequency offset of the interference signal is compensated by utilizing the cross-correlation properties of the synchronization signal. Afterwards, the reference signal is generated locally and channel response is estimated by making use of channel statistics. Then, the interference signal is reconstructed based on the previous estimate of the channel, timing and carrier frequency offset. The interference is mitigated by subtracting the estimation of the interference signal and LLR puncturing. The block error rate (BLER) performance of the signal is notably improved by this algorithm, according to the simulation results of different channel scenarios. The proposed techniques provide low cost, low complexity solutions for LTE and beyond systems. The simulation and measurements show good overall system performance can be achieved.

This study investigates linguistic, perceptual, and pedagogical change (LPPC) in a short-term, study abroad English immersion program. It proposes the LPPC Interactive Model of second language acquisition based on Gardner's 1985 socioeducational model and Woods' 1996 beliefs, attitudes, and knowledge (BAK) structure. The framework is applied in a cross-cultural context, highlighting participants in the 1993 Camosun Osaka Aoyama English Language Institute involving Japanese English-as-a-Second-Language (ESL) students from Aoyama Junior College in Osaka, Japan, and non-Japanese ESL teachers at Camosun College and Canada's University of Victoria in British Columbia. The study examined the definition of teacher achievement; distinctions between language activation and language acquisition in the short-term, study abroad context; development of the constructs student BAK+, teacher BAK+, and class BAK+ to describe interactions in "class fit"; and the influence of temporal parameters on linguistic, perceptual, and pedagogical change. Data from teacher and student surveys and interviews suggest that change occurs in each of the linguistic, perceptual, and pedagogical dimensions and support constructs proposed for the model.

Increased partisan apathy, affective polarization, and purposeful selection of homogenous political discussion groups are of growing concern as politics within the United States becomes more contentious. While previous work has considered when political discussions occur, if discussions are deliberative, and whether discussions affect democratic outcomes, this study focuses on the process someone undergoes when determining whether to participate in a political discussion. This paper examines political communication apprehension by considering how personality predispositions and uncertainty reduction influence the expectancy-value judgments made when determining if participating in a certain political discussion situation is worth the cost. Factors of political communication apprehension were determined through an exploratory factor analysis of a batter of questions designed to capture elements of political communication apprehension. Findings indicate that even if people are not very attached to their political parties, their political communication apprehension is largely informed by expectancy value judgements based on information they have learned from the political world.

This creative non-thesis project includes three theories from communication studies. Uncertainty Reduction Theory, Cultivation Theory, and Cognitive Dissonance Theory. Each theoretical framework also includes a script written with the intent of filming in the future. Those videos could be shown in communication classes. These three theories cover a breadth of knowledge in the field as they pertain to interpersonal communication, media studies, and persuasion.

Motivating the political will necessary for fair and ambitious climate change policies is significantly complicated by the rise of populism. Right-wing populist communication targets civil servants and intellectuals as conspirators furthering a climate agenda for their own self-interest. Yet, despite the real world implications of populist communication, more work is needed to both (1) understand the presence of populist frames in media communication on climate change and (2) untangle the relationships between the far-right and diverse forms of climate skepticism. Completing a content analysis of newspaper opinion pieces and Fox News programing between 2008 and 2020, I find that populist skeptic frames are an important part of media communication on climate change in both the Wall Street Journal and Fox News. Additionally, I find that populist skeptic frames most commonly use process skeptic claims, leveraging conspiratorial language to describe collusion between the government and scientists to falsify the severity of climate change and control the public for their own gain. Using a survey experiment, I find that higher populist attitudes are negatively associated with both belief in climate change and support for climate mitigation policies among Republicans. Conversely, I do not find a significant effect of exposure to a populist process skeptic frame, prompting the need for more work on the connections between populist skeptic framing and climate change attitudes.

Wireless powered communication (WPC) is an emerging paradigm where wireless devices are powered over the air while exchanging information with them. This technology is attractive for various wireless applications, including classical radio-frequency identification (RFID) systems, implantable sensors, environmental sensing as found in agriculture and forestry, and simultaneous charging and telemetry communications for electric vehicles. While recent studies have shown that inductive coupling provides a more energy-efficient and robust channel for short and middle-range wireless transmission, most of the previous analyses on WPC have been limited to far-field transmission models. To this end, this work provides a comprehensive framework to design and analyze WPC over inductively coupled circuits. We consider three problems, namely, wireless power transfer (WPT), simultaneous wireless information and power transfer (SWIPT), and wireless powered communication network (WPCN) using multiple coupled coils. Each configuration is modeled by an abstract circuit model in which various effects, including mutual coupling and parasitic elements, are captured by a small number of measurable parameters. This technique allows us to not only eliminate the need for solving the circuit but also apply well-known signal processing techniques such as beamforming and channel estimation to inductively coupled models. For each of the three models, we derive the properties of the optimal source signal. In addition, we propose methods to design the load impedance of WPCN by taking into account the nonlinear effects due to impedance mismatches in the circuits.

The implications of non-Gaussian interference for various communication systemsare explored. The focus is on the Kappa distribution, Generalized Gaussian distribu-tions, and the distribution of the interference in molecular communication systems.A review of how dynamic systems that are not in equilibrium are modeled by theKappa distribution and how this distribution models interference in HF communica-tions systems at sunrise is provided. The channel model, bit error rate for single andmultiple antennas, channel capacity, and polar code performance are shown.

Listening (Janusik, 2002; Miller, 2018; Wolvin & Coakley, 1996) and eating disorders (EDs; National Centre for Eating Disorders (NCFED), 2018) are often not taught within schools, especially among adolescents. To address this, a school-based brief motivational interviewing (MI) intervention on listening when talking about EDs was created, implemented, and evaluated among adolescents (n = 260) from two middle schools within the Midwestern part of the United States. Specifically, School 1 (n = 100), and School 2 (n = 160) and three teachers (i.e., Teacher 1, Teacher 2, Teacher 3) allowed the researcher to present and collect data. In other words, three total teachers between the two schools, and one teacher, Teacher 1 (n = 100), was from School 1, and the other two teachers, Teacher 2 (n = 120) and Teacher 3 (n = 40) were from School 2. Participants were randomly placed into either the 1) the EDs listening intervention (education-plus) with an MI component (n = 6 classes) or 2) an education-plus Q&A intervention (n = 7 classes). All the participants were involved in the guest lecture and the pre-test and post-test survey, but data was only saved and analyzed from participants that had guardians/parents who consented (n = 75). The methodology for this dissertation project was a 2 (pre/post, unmatched) X 2 (condition) subject’s design. This dissertation project had two independent variables: (1) experimental condition (e.g., education plus MI and education plus Q&A), and (2) time (e.g., pre and post). This dissertation project had five dependent variables: (1) knowledge of listening, (2) knowledge of EDs, (3) listening self-efficacy, (4) knowledge of OARS, and (5) knowledge of the righting reflex. This dissertation project also had the random factor of schools (e.g., School 1 (A) and School 2 (B), and the fixed factor of gender identity (e.g., male and female). The results revealed a promise of efficacy and increased knowledge regarding EDs and aspects of listening, specifically through MI (e.g., OARS). Other areas of knowledge improved but not significantly. In other words, there were no significant differences in knowledge gains between MI and Q&A, but MI compared to Q&A showed a more extensive influence on self-efficacy. The main limitation of this study was the limited guardian/parental consent, resulting in a small sample size.

Nursing is one of the most important professions in the United States but it has historically endured high levels of shortage and turnover (Apker, Propp, & Ford, 2009; Fox & Abrahamson, 2009). A nurse’s organizational climate and culture have been shown to impact a number of job outcomes including intention to leave the organization (Aiken & Patrician, 2000), and therefore is of interest to both scholars and practitioners alike. One way to understand the context in which nurses work is through organizational identification because people make sense of their own identities in part through the organizations to which they belong (Kuhn & Nelson, 2002). However, because individuals have various identities which can reinforce but at times conflict with each other (Scott et al., 1999) and the strength of these identities can dictate outcomes such as performance (Trybou, Gemmel, Pauwels, Henninck, & Clays, 2013), it is necessary to explore how nurses connect to different identities and social collectives (e.g., team, organization, and occupation/profession) within their work. Further, these connections with the multiplicities of identifications may help explain the decisions that guide nurses’ career trajectories as well as how the perceived identity of a nurse guides individuals to choose a career in nursing. This project seeks to understand how nurses talk about their jobs and how communicating with other nurses influences their career trajectory and decision to stay in or leave their organization or the nursing profession altogether.

This project draws upon both social identity theory and self-categorization theory to help explain how nurses communicate and situate themselves among others in their workplaces. Social identity theory and self-categorization theory are suited for this study’s social constructionist approach and the topic of this research because they explain how the strength and multiplicities of identification within an organization are constructed and shaped by communication with others. Data collection methods for this study consist of in-depth interviews with nurses of specific licensures, posts collected online from a nurse discussion forum, and a questionnaire of nurse forum participants. This study applies a mixed methods approach consisting of qualitative and quantitative analyses. In doing so, this project contributes in several ways including extending our understanding of (1) the connections between the multiplicities of identification; (2) how nurses construct meaning in their jobs to guide career decisions; (3) the nature of nurses’ interactions in online spaces; (4) nurse career decisions; and (5) nurses’ perceptions of the nursing profession before entering the profession.

The availability of feedback from the receiver to the transmitter in a communication system can play a significant role. In this dissertation, our focus is specifically on binary or one-bit feedback. First, we study the problem of successive beam alignment for millimeter-wave channels where the receiver sends back only one-bit of information per beam sounding. The sparse nature of the channel allows us to interpret channel sounding as a form of questioning. By posing the alignment problem as a questioning strategy, we describe adaptive (closed-loop) and non-adaptive (open-loop) channel sounding techniques which are robust to erroneous feedback signals caused by noisy quantization. In the second part, we tightly characterize the capacity for two binary stochastic-adversarial mixed noise channels. Specifically, the transmitter (Alice) intends to convey a message to the receiver (Bob) over a binary symmetric channel (BSC) or a binary erasure channel (BEC) in the presence of an adversary (Calvin) who injects additional noise at the channel's input subject to a budget constraint. Calvin is online or causal in that at any point during the transmission, he can infer the bits being sent by Alice and those being received by Bob via a feedback link. Finally in the third part, we study the applicability of binary feedback for encoding and propose the framework of linearly adapting block feedback codes. We also prove a new result for Reed-Muller (RM) codes to demonstrate how an uncoded system can mimic a RM code under this framework, against remarkably large feedback delays.

The impact of athlete activism online remains understudied in academic scholarship. To gain a better understanding for fan response to athlete activism online, this study examines the patterns in perception and response among sports fans with respect to politically-charged content posted online by professional athletes. The purpose of this study is to use this understanding of fan response to help athletes and their representatives manage fan reaction to athletes’ politically-charged content. By examining fan response to politically-charged content, this study suggests principles for eliciting positive impact, fostering open discourse, and promoting awareness through social media. Patterns in perception and response among sports fans with respect to politically-charged content posted online by professional athletes were examined through in-depth interviews conducted with sports fans between the ages of 18 and 30 who follow the profiles of professional athletes on social media. An understanding of the potential benefits and drawbacks of athletes’ use of social media for social movements has been gained through an analysis of the emergent themes among perception and response patterns revealed by study participants. The emergent themes of this study inform recommendations for professional athletes posting politically-charged content online. The findings of this study suggest that athletes who post politically-charged content online should do so with their goals and audience in mind. Knowing their goals as well as their audience grants athletes the ability to frame their content accordingly, rendering them more likely to receive positive responses to the politically-charged content they post. Based on the findings of this study, athletes who frame politically-charged content as a narrative highlighting their lived experience and employing appeals to emotion and humor yield the most positive responses from otherwise uninterested or hostile fans. The insights gained from this study stand to fill the gap in existing literature surrounding athlete activism online.

Network Coding is a critical technique when designing next-generation network systems, since the use of network coding can significantly improve the throughput and performance (delay/reliability) of the system. In the traditional design paradigm without network coding, different information flows are transported in a similar way like commodity flows such that the flows are kept separated while being forwarded in the network. However, network coding allows nodes in the network to not only forward the packet but also process the incoming information messages with the goal of either improving the throughput, reducing delay, or increasing the reliability. Specifically, network coding is a critical tool when designing absolute Shannon-capacity-achieving schemes for various broadcasting and multi-casting applications. In this thesis, we study the optimal network schemes for some applications with less restrictive network models. A common component of the models/approaches is how to use network coding to take advantage of a broadcast communication channel.

Social media is impacting the practice of public relations inmany different ways, but the focus of this dissertation is on the power of big data from social media to identify and assess the relationship that stakeholders have with the organization. Social media analytics have tended to measure reactions to messages, rather than the strength of the relationship, even though public relations is responsible for building strong relationships with the organization’s stakeholders. Yet, social media provides insight into the conversations that stakeholders have with other stakeholders about the organization and thus can reveal insight into the quality of the relationship they have with the organization.