On Random Sampling for Compliance Monitoring in Opportunistic Spectrum Access Networks

In the expanding spectrum marketplace, there has been a long term evolution towards more market€“oriented mechanisms, such as Opportunistic Spectrum Access (OSA), enabled through Cognitive Radio (CR) technology. However, the potential of CR technologies to revolutionize wireless communications, also introduces challenges based upon the potentially non€“deterministic CR behaviour in the Electrospace. While establishing and enforcing compliance to spectrum etiquette rules are essential to realization of successful OSA networks in the future, there has only been recent increased research activity into enforcement. This dissertation presents novel work on the spectrum monitoring aspect, which is crucial to effective enforcement of OSA. An overview of the challenges faced by current compliance monitoring methods is first presented. A framework is then proposed for the use of random spectral sampling techniques to reduce data collection complexity in wideband sensing scenarios. This approach is recommended as an alternative to Compressed Sensing (CS) techniques for wideband spectral occupancy estimation, which may be difficult to utilize in many practical congested scenarios where compliance monitoring is required. Next, a low€“cost computational approach to online randomized temporal sensing deployment is presented for characterization of temporal spectrum occupancy in cognitive radio scenarios. The random sensing approach is demonstrated and its performance is compared to CS€“based approach for occupancy estimation. A novel frame€“based sampling inversion technique is then presented for cases when it is necessary to track the temporal behaviour of individual CRs or CR networks. Parameters from randomly sampled Physical Layer Convergence Protocol (PLCP) data frames are used to reconstruct occupancy statistics, taking account of missed frames due to sampling design, sensor limitations and frame errors. Finally, investigations into the use of distributed and mobile spectrum sensing to collect spatial diversity to improve the above techniques are presented, for several common monitoring tasks in spectrum enforcement. Specifically, focus is upon techniques for achieving consensus in dynamic topologies such as in mobile sensing scenarios

The Potential Short- and Long-Term Disruptions and Transformative Impacts of 5G and Beyond Wireless Networks: Lessons Learnt from the Development of a 5G Testbed Environment

The capacity and coverage requirements for 5 th generation (5G) and beyond wireless connectivity will be significantly different from the predecessor networks. To meet these requirements, the anticipated deployment cost in the United Kingdom (UK) is predicted to be between £30bn and £50bn, whereas the current annual capital expenditure (CapEX) of the mobile network operators (MNOs) is £2.5bn. This prospect has vastly impacted and has become one of the major delaying factors for building the 5G physical infrastructure, whereas other areas of 5G are progressing at their speed. Due to the expensive and complicated nature of the network infrastructure and spectrum, the second-tier operators, widely known as mobile virtual network operators (MVNO), are entirely dependent on the MNOs. In this paper, an extensive study is conducted to explore the possibilities of reducing the 5G deployment cost and developing viable business models. In this regard, the potential of infrastructure, data, and spectrum sharing is thoroughly investigated. It is established that the use of existing public infrastructure (e.g., streetlights, telephone poles, etc.) has a potential to reduce the anticipated cost by about 40% to 60%. This paper also reviews the recent Ofcom initiatives to release location-based licenses of the 5G-compatible radio spectrum. Our study suggests that simplification of infrastructure and spectrum will encourage the exponential growth of scenario-specific cellular networks (e.g., private networks, community networks, micro-operators) and will potentially disrupt the current business models of telecommunication business stakeholders - specifically MNOs and TowerCos. Furthermore, the anticipated dense device connectivity in 5G will increase the resolution of traditional and non-traditional data availability significantly. This will encourage extensive data harvesting as a business opportunity and function within small and medium-sized enterprises (SMEs) as well as large social networks. Consequently, the rise of new infrastructures and spectrum stakeholders is anticipated. This will fuel the development of a 5G data exchange ecosystem where data transactions are deemed to be high-value business commodities. The privacy and security of such data, as well as definitions of the associated revenue models and ownership, are challenging areas - and these have yet to emerge and mature fully. In this direction, this paper proposes the development of a unified data hub with layered structured privacy and security along with blockchain and encrypted off-chain based ownership/royalty tracking. Also, a data economy-oriented business model is proposed. The study found that with the potential commodification of data and data transactions along with the low-cost physical infrastructure and spectrum, the 5G network will introduce significant disruption in the Telco business ecosystem

2019 Oklahoma Research Day Full Program

Oklahoma Research Day 2019 - SWOSU Celebrating 20 years of Undergraduate Research Successes

Potty Politics: Investigating the Policymaking Processes of Sanitation Service to the Urban Poor in Delhi

This study investigates why sanitation outcomes vary across urban poor communities in Delhi, India. Unequal access to quality sanitation has serious implications for the health, dignity, and economic well-being of the poor and public health in general due to risks of environmental contamination. For this multiple-case study, a sample of 15 communities is drawn from slums, public housing, homeless shelters, and the streets. The database comprises of direct observations of sanitation outcomes in these communities, interviews with 95 key policy informants, official documents of relevant government agencies, newspaper articles, and a perception-of-the-poor survey of 30 sanitation bureaucrats. Thematic analysis of government documents and interviews with officials reveals a laissez faire framework for governing sanitation where the state plays a limited role of building infrastructures. Broadly speaking, the poor are blamed for unsanitary conditions that arise due to limited government intervention, and are handed the responsibility of service management for sanitation improvement. To then understand why outcomes vary within this broader framework, the qualitative dataset is analyzed using process-tracing to uncover policy decisions across communities. Variations in social constructions of the poor by policymakers have a dominant influence in shaping policy decisions. Perceptions of unsanitary habits and incorrigible, irresponsible behaviors result in lack of government support and worse sanitation outcomes in “deviant” communities. Government support for better sanitation is justified as civic education of the communities perceived as needy “dependents”, and a reward for politically organized “contender” communities. A quantitative cultural consensus analysis of the survey shows that a majority of the bureaucrats share a strongly-held view of the poor on the dependent-deviant spectrum. This largely corroborates the qualitative findings. Clientelist politics is the other influential factor that shapes policy decisions. Poor communities access service improvements by exchanging votes with politicians and solidarity with service providers. The strength and longevity of these clientelistic exchanges influences the timing and provision of entitled sanitation services in client-communities. Findings show that inequitable sanitation outcomes are manufactured by biases that blame the poor for service deficits and make the provision of entitled benefits contingent on political mobilization of exhibiting “good citizenship.” This has serious implications for democratic accountability between the government and the very citizens that are most in need of public services to meet their sanitation needs