Enabling multiservice on 3G and beyond: challenges and future directions

Xie, Bin; Kumar, Anup; Agrawal, Dharma

doi:10.1109/mwc.2008.4547525

Cited by 11 publications

(3 citation statements)

References 8 publications

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“…Legislation has increased customers' rights and technology and competition have increased their choice of products and providers. These changes will result in growth in users with sophisticated needs supported by [2] [9] [19].…”

Section: Mobile Commerce Servicesmentioning

confidence: 99%

M-Commerce service systems implementation

Altaher¹

2012

IJACSA

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Abstract-Mobile commerce supports automated banking services. However, the implementation of m-commerce services systems has become increasingly important in today's dynamic banking environment. This research studied the relationships between technology acceptance model and m-commerce services. The results of the survey on 249 respondents in several Jordan banks revealed that technology acceptance model had a significant impact on m-commerce services. The results led to the recommendation that the technology acceptance model is a success model for support using new services for electronic commerce. In addition, managers play a significant role in influencing the mobile services in banks through social interaction. Managers should focus on relative advantage, usefulness, and ease of use, in order to develop the mobile commerce services implementation.

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Section: Mobile Commerce Servicesmentioning

confidence: 99%

M-Commerce service systems implementation

Altaher¹

2012

IJACSA

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“…Cognitive networks, or CR-based networks, are reconfigurable wireless networks that adapt to all types of circumstances by means of self-management. Cognitive networks are becoming the technology factor that could facilitate the transition to a more competitive mobile telecommunication landscape [7]. With cognitive wireless networks, licensed users can offer dynamic sharing spectrum opportunities to unlicensed users or service providers.…”

Section: Spectrum Managementmentioning

confidence: 99%

Technology and market conditions toward a new competitive landscape in the wireless access market

2010

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This article argues that the wireless telecommunication\ud market is about to witness a shift in\ud business models and market structure as a result\ud of the deployment of new broadband access\ud technologies, spectrum management techniques,\ud policy-based network management, and the drive\ud of new entrants to compete against the incumbents.\ud The article discusses four agents of evolutionary\ud changes: a range of broadband wireless\ud access standards and technologies that are frontrunners\ud in the industry’s efforts to embody the\ud next generation of wireless networks; new\ud provider-customer relationships facilitated\ud through changes in the usual contract patterns\ud that will allow consumers to enter short-term\ud and spot contracts with the new wireless providers;\ud an overview of the current debate on\ud spectrum management; and an explanation of\ud how autonomic communications and policybased\ud management would support the new structure.\ud Finally, the article asserts the necessity for\ud the integration of the heterogeneous technologies\ud that make up this emerging, hybrid wireless\ud landscape, and describes the economic characteristics\ud of a new competitive scenario.Postprint (published version

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“…For the purpose of ABC and reducing the deployment cost, integration of different networks is needed [52]. This integration introduces several challenging issues and one of which is the design of efficient network selection schemes [53]. Network selection aims to select the best set of access networks for a mobile user to achieve seamless mobility, to meet QoS requirements, and to support load balancing.…”

Section: Dynamic Network Selection In Heterogeneous Wireless Networkmentioning

confidence: 99%

Dynamic games and applications in wireless communication networks

Zhu¹

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With the advances in telecommunication technologies and dramatic performance enhancement of communication equipments, the communication and computing are converging and autonomous distributed architectures will play more important roles in future wireless communication networks. Therefore, devising distributed and dynamic algorithms for ensuring a robust network operation in time-varying and heterogeneous environments becomes a critical issue. Game theory as a discipline studying the interactions of interdependent autonomous agents provides an ideal framework with a set of mathematical tools for this purpose. In this dissertation, we focus on the use of dynamic games to model, analyze, and design efficient distributed algorithms for the competitive resource management in wireless networks. The motivation for the use of dynamic games is from the consideration of dynamic nature of wireless environment and the wide existence of hierarchical structures in wireless networks modeling. The specific issues addressed in this dissertation are summarized as follows. The first issue is the dynamic network selection in heterogeneous wireless networks with incomplete information. A network selection Bayesian game is formulated for this purpose. In general, the preference (i.e., utility) of a mobile user is private information. Therefore, each user has to make the decision of network selection optimally given only the partial information of the preferences of other users. To study the dynamics of such network selection, the Bayesian best response dynamics and aggregate best response dynamics are applied. Bayesian Nash equilibrium is considered to be the solution of this game, and there is a one-to-one mapping between the Bayesian Nash equilibrium and the equilibrium distribution of the aggregate dynamics. We show that even with incomplete information, the equilibrium of network selection decisions of mobile users can be reached. The second issue is dynamic spectrum leasing and service selection in spectrum secondary market of cognitive radio networks. In spectrum secondary market, the secondary service providers lease spectrum from spectrum brokers to provide service to secondary users. The problem is challenging when the optimal decisions of both secondary service providers and secondary users are made Abstract xi dynamically under competition. To address this problem, a two-level dynamic game framework is developed. Since the secondary users can adapt the service selection strategies according to the received service quality and price, the dynamic service selection is modeled as an evolutionary game at the lower level. The replicator dynamics is applied to model the service selection adaptation and evolutionary equilibrium is considered to be the solution. With dynamic service selection, competitive secondary providers can dynamically lease spectrum to provide services to secondary users. A spectrum leasing differential game is formulated to model this competition at the upper level. Both simultaneous play model and asynchron...

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Enabling multiservice on 3G and beyond: challenges and future directions

Cited by 11 publications

References 8 publications

M-Commerce service systems implementation

M-Commerce service systems implementation

Technology and market conditions toward a new competitive landscape in the wireless access market

Dynamic games and applications in wireless communication networks

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