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As the number of devices with wireless capabilities and the proximity of these devices to each other increases, better ways to handle the interference they cause need to be explored. Also important is for these devices to keep up with the demand for data rates while not compromising on

As the number of devices with wireless capabilities and the proximity of these devices to each other increases, better ways to handle the interference they cause need to be explored. Also important is for these devices to keep up with the demand for data rates while not compromising on industry established expectations of power consumption and mobility. Current methods of distributing the spectrum among all participants are expected to not cope with the demand in a very near future. In this thesis, the effect of employing sophisticated multiple-input, multiple-output (MIMO) systems in this regard is explored. The efficacy of systems which can make intelligent decisions on the transmission mode usage and power allocation to these modes becomes relevant in the current scenario, where the need for performance far exceeds the cost expendable on hardware. The effect of adding multiple antennas at either ends will be examined, the capacity of such systems and of networks comprised of many such participants will be evaluated. Methods of simulating said networks, and ways to achieve better performance by making intelligent transmission decisions will be proposed. Finally, a way of access control closer to the physical layer (a 'statistical MAC') and a possible metric to be used for such a MAC is suggested.
ContributorsThontadarya, Niranjan (Author) / Bliss, Daniel W (Thesis advisor) / Berisha, Visar (Committee member) / Ying, Lei (Committee member) / Arizona State University (Publisher)
Created2014
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Description
Self-control has been shown to predict both health risk and health protective outcomes. Although top-down or “good” self-control is typically examined as a unidimensional construct, research on “poor” self-control suggests that multiple dimensions may be necessary to capture aspects of self-control. The current study sought to create a new brief

Self-control has been shown to predict both health risk and health protective outcomes. Although top-down or “good” self-control is typically examined as a unidimensional construct, research on “poor” self-control suggests that multiple dimensions may be necessary to capture aspects of self-control. The current study sought to create a new brief survey measure of top-down self-control that differentiates between self-control capacity, internal motivation, and external motivation. Items were adapted from the Brief Self-Control Scale (BSCS; Tangney, Baumeister, & Boone, 2004) and were administered through two online surveys to 347 undergraduate students enrolled in introductory psychology courses at Arizona State University. The Self-Control Motivation and Capacity Survey (SCMCS) showed strong evidence of validity and reliability. Exploratory and confirmatory factor analyses supported a 3-factor structure of the scale consistent with the underlying theoretical model. The final 15-item measure demonstrated excellent model fit, chi-square = 89.722 p=.077, CFI = .989, RMSEA = .032, SRMR = .045. Despite several limitations including the cross-sectional nature of most analyses, self-control capacity, internal motivation, and external motivation uniquely related to various self-reported behavioral outcomes, and accounted for additional variance beyond that accounted for by the BSCS. Future studies are needed to establish the stability of multiple dimensions of self-control, and to develop state-like and domain-specific measures of self-control. While more research in this area is needed, the current study demonstrates the importance of studying multiple aspects of top-down self-control, and may ultimately facilitate the tailoring of interventions to the needs of individuals based on unique profiles of self-control capacity and motivation.
ContributorsPapova, Anna (Author) / Corbin, William R. (Thesis advisor) / Karoly, Paul (Committee member) / Brewer, Gene (Committee member) / Arizona State University (Publisher)
Created2016
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Description
Past research suggests that both Alcohol Expectancies and Subjective Response are strong predictors of drinking. However, most studies do not account for the shared variance or relations between the two. Social cognitive and expectancy theories suggest that cognitions may distort reality, creating a discrepancy between expected and subjective effects. Only

Past research suggests that both Alcohol Expectancies and Subjective Response are strong predictors of drinking. However, most studies do not account for the shared variance or relations between the two. Social cognitive and expectancy theories suggest that cognitions may distort reality, creating a discrepancy between expected and subjective effects. Only one study has tested the effects of such discrepancies (Morean et al., 2015), but that study was cross-sectional, making it impossible to determine the direction of effects. As such, the present study sought to test prospective associations between expectancy-subjective response interactions and future drinking behavior. Participants (N=448) were randomly assigned to receive alcohol (target blood alcohol alcohol =.08 g%) or placebo, with 270 in the alcohol condition. Alcohol expectancies and subjective response were assessed across the full range of affective space of valence by arousal. Hierarchical regression tested whether expectancies, subjective response, and their interaction predicted follow-up drinking in 258 participants who reached a blood alcohol curve of >.06 (to differentiate blood alcohol curve limbs). Covariates included gender, age, drinking context, and baseline drinking. High arousal subjective response was tested on the ascending limb and low arousal subjective response on the descending limb. High arousal positive expectancies and subjective response interacted to predict future drinking, such that mean and low levels of high arousal positive subjective response were associated with more drinking when expectancies were higher. High arousal negative expectancies and subjective response also interacted to predict future drinking, such that high levels of high arousal negative subjective response marginally predicted more drinking when expectancies were lower. There were no interactions between low arousal positive or low arousal negative expectancies and subjective response. Results suggest that those who expected high arousal positive subjective response but did not receive many of these effects drank more, and those who did not expect to feel high arousal negative subjective response but did in fact feel these effects also drank more. The results suggest that challenging inaccurate positive expectancies and increasing awareness of true negative subjective response may be efficacious ways to reduce drinking.
ContributorsWaddell, Jack Thomas (Author) / Corbin, William R. (Thesis advisor) / Chassin, Laurie (Thesis advisor) / Anderson, Samantha F. (Committee member) / Arizona State University (Publisher)
Created2020