12 research outputs found
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Preference-based spectrum pricing in dynamic spectrum access networks
With market-driven secondary spectrum trading, licensed users can receive benefits in terms of monetary rewards or various transmission services, thus setting a fair pricing structure by suitably defining spectrum quality characteristics and accurately addressing participant’s requirement is a key issue. In this paper, we investigate the pricing-based spectrum access by casting the problem of spectrum pricing into a Hotelling game model according to spectrum quality diversity. Particularly, we first build a pricing system model where unused spectrum from primary systems with different qualities forms a spectrum pool and can be divided into a number of uniform channels. A secondary user purchases a channel for usage according to its selection preference which is closely related to the channel quality and spectrum evaluation. The secondary user not only needs to consider the channel’s quality and price, but also the interference cost on primary system. Detailed analysis on the policy preference of both primary system and secondary buyer are provided. By forming a game problem of spectrum pricing between primary and secondary users, we apply the Hotelling game model to handle the interaction between the participants. Specifically, by fixing Nash equilibrium of the game, an iterative algorithm for spectrum pricing is proposed based on the distribution characteristics of secondary user’s preference. Essential analysis for the existence and uniqueness of the Nash equilibrium along with algorithm’s convergence conditions are provided. Numerical results are also supplemented to show the effectiveness of the proposed algorithm in ensuring spectrum owner’s profit
Optimal resource allocation for GAA users in spectrum access system using Q-learning algorithm
Spectrum access system (SAS) is a three-tier layered spectrum sharing architecture proposed by the Federal Communications Commission (FCC) for Citizens Broadband Radio Service (CBRS) 3.5 GHz band. The available 150 MHz spectrum is dynamically shared among Incumbent Access (IA), Primary Access Licensees (PAL) and General Authorized Access (GAA) users. IA users are the highest priority federal military users, PAL users are the licensed users and the GAA users are the least priority unlicensed users. In this scenario, PAL operators are willing to give access to their idle spectrum to GAA users to generate extra revenue. SAS will ensure to protect IA users and PAL users from interference caused by lower-tier users. It is the responsibility of SAS to allocate resources to GAA users but the method to do so is left open. In this article, a novel auction algorithm based on Q-learning for dynamic spectrum access (SAS-QLA) is proposed. In SAS-QLA, multiple GAA users dynamically and intelligently bid using Q-learning to access PAL reserved idle channels. SAS will decide to allocate the channels to GAA users with maximum bidding offers. GAA users have their own quality of service (QoS) demands i.e., transmission rate, packet loss, bidding efficiency, and maintain the preference of available PAL reserved idle channels based on Q-learning considering the available QoS. The proposed scenario is also modeled as a knapsack NP-hard problem and solved using dynamic programming and distributed relaxation method. Numerical results demonstrate the effectiveness of the SAS-QLA algorithm in improving the bidding efficiency, maximizing the data rate per unit cost and spectrum utilization.Web of Science10608046079
E-Governance: Strategy for Mitigating Non-Inclusion of Citizens in Policy Making in Nigeria
The Nigerian federation that currently has 36 states structure adopted the Weberian Public Administrative system
before now as an ideal way of running government, which was characterized with the traditional way of doing things without
recourse to the deployment of Information Communication Technology (ICT). Today e-governance is seen as a paradigm
shift from the previous way of governance. Research has shown that, the adoption and implementation of e-governance is
more likely to bring about effective service delivery, mitigate corruption and ultimately enhance citizens’ participation in
governmental affairs. However, it has been argued that infrastructure such as regular electricity power and access to the
Internet, in addition to a society with high rate of literacy level are required to effectively implement and realize the
potentials of e-governance for improved delivery of services. Due to the difficulties currently experienced, developing nations
need to adequately prepare for the implementation of e-governance on the platform of Information Communication
Technology (ICT). Hence, this study seeks to examine whether the adoption and implementation of e-governance in the
context of Nigeria would mitigate the hitherto non-inclusion of citizens in the formulation and implementation of
government policies aimed at enhanced development. To achieve the objective of the study, data were sourced and analyzed
majorly by examining government websites of 20 states in the Nigerian federation to ascertain if there are venues for citizens
to interact with government in the area of policy making and feedback on government actions, as a way of promoting
participatory governance. The study revealed that the adoption and implementation of e-governance in the country is yet to
fully take place. This is due to lack of infrastructure, low level of literacy rate and government inability to provide the
necessary infrastructure for e-governance to materialize. The paper therefore, recommends among others the need for the
Federal Government to involve a sound and clear policy on how to go about the adoption and implementation of egovernance
through deliberate effort at increasing budgetary allocation towards infrastructural development and mass
education of citizens
The Impact of e-Democracy in Political Stability of Nigeria
The history of the Nigerian electoral process has been hitherto characterized by violence stemming from disputes
in election outcomes. For instance, violence erupted across some states in Northern Nigeria when results indicated that a
candidate who was popular in that part of the country was losing the election leading to avoidable loss of lives. Beside, this
dispute in election outcome lingers for a long time in litigation at the electoral tribunals which distracts effective governance.
However, the increasing penetrating use of ICTs in Nigeria is evident in the electoral processes with consequent shift in the
behavior of actors in the democratic processes, thus changing the ways Nigerians react to election outcomes. This paper
examines the trend in the use ICT in the Nigerian political system and its impact on the stability of the polity. It assesses the
role of ICT in recent electoral processes and compares its impact on the outcome of the process in lieu of previous
experiences in the Nigeria. Furthermore, the paper also examines the challenges and risks of implementing e-Democracy in
Nigeria and its relationship to the economy in the light of the socio-economic situation of the country. The paper adopted
qualitative approach in data gathering and analysis. From the findings, the paper observed that e-democracy is largely
dependent on the level of ICT adoption, which is still at its lowest ebb in the country. It recognizes the challenges in the
provision of ICT infrastructure and argues that appropriate low-cost infrastructure applicable to the Nigerian condition can
be made available to implement e-democracy and thus arouse the interest of the populace in governance, increase the
number of voters, and enhance transparency, probity and accountability, and participation in governance as well as help
stabilize the nascent democrac
Can Upward Brand Extensions be an Opportunity for Marketing Managers During the Covid-19 Pandemic and Beyond?
Early COVID-19 research has guided current managerial practice by introducing
more products across different product categories as consumers tried to avoid
perceived health risks from food shortages, i.e. horizontal brand extensions. For
example, Leon, a fast-food restaurant in the UK, introduced a new range of ready
meal products. However, when the food supply stabilised, availability may no
longer be a concern for consumers. Instead, job losses could be a driver of higher
perceived financial risks. Meanwhile, it remains unknown whether the perceived
health or financial risks play a more significant role on consumers’ consumptions.
Our preliminary survey shows perceived health risks outperform perceived
financial risks to positively influence purchase intention during COVID-19. We
suggest such a result indicates an opportunity for marketers to consider
introducing premium priced products, i.e. upward brand extensions. The risk-as�feelings and signalling theories were used to explain consumer choice under risk may adopt affective heuristic processing, using minimal cognitive efforts to
evaluate products. Based on this, consumers are likely to be affected by the salient
high-quality and reliable product cue of upward extension signalled by its
premium price level, which may attract consumers to purchase when they have
high perceived health risks associated with COVID-19. Addressing this, a series of
experimental studies confirm that upward brand extensions (versus normal new
product introductions) can positively moderate the positive effect between
perceived health risks associated with COVID-19 and purchase intention. Such an
effect can be mediated by affective heuristic information processing. The results
contribute to emergent COVID-19 literature and managerial practice during the
pandemic but could also inform post-pandemic thinking around vertical brand
extensions
Applied Metaheuristic Computing
For decades, Applied Metaheuristic Computing (AMC) has been a prevailing optimization technique for tackling perplexing engineering and business problems, such as scheduling, routing, ordering, bin packing, assignment, facility layout planning, among others. This is partly because the classic exact methods are constrained with prior assumptions, and partly due to the heuristics being problem-dependent and lacking generalization. AMC, on the contrary, guides the course of low-level heuristics to search beyond the local optimality, which impairs the capability of traditional computation methods. This topic series has collected quality papers proposing cutting-edge methodology and innovative applications which drive the advances of AMC
Combining SOA and BPM Technologies for Cross-System Process Automation
This paper summarizes the results of an industry case study that introduced a cross-system business process automation solution based on a combination of SOA and BPM standard technologies (i.e., BPMN, BPEL, WSDL). Besides discussing major weaknesses of the existing, custom-built, solution and comparing them against experiences with the developed prototype, the paper presents a course of action for transforming the current solution into the proposed solution. This includes a general approach, consisting of four distinct steps, as well as specific action items that are to be performed for every step. The discussion also covers language and tool support and challenges arising from the transformation
Suffolk University Academic Catalog, College of Arts and Sciences and Sawyer School of Management, 2008-2009
https://dc.suffolk.edu/cassbs-catalogs/1188/thumbnail.jp
Applied Methuerstic computing
For decades, Applied Metaheuristic Computing (AMC) has been a prevailing optimization technique for tackling perplexing engineering and business problems, such as scheduling, routing, ordering, bin packing, assignment, facility layout planning, among others. This is partly because the classic exact methods are constrained with prior assumptions, and partly due to the heuristics being problem-dependent and lacking generalization. AMC, on the contrary, guides the course of low-level heuristics to search beyond the local optimality, which impairs the capability of traditional computation methods. This topic series has collected quality papers proposing cutting-edge methodology and innovative applications which drive the advances of AMC