5,434 research outputs found
Content-Specific Broadcast Cellular Networks based on User Demand Prediction: A Revenue Perspective
The Long Term Evolution (LTE) broadcast is a promising solution to cope with
exponentially increasing user traffic by broadcasting common user requests over
the same frequency channels. In this paper, we propose a novel network
framework provisioning broadcast and unicast services simultaneously. For each
serving file to users, a cellular base station determines either to broadcast
or unicast the file based on user demand prediction examining the file's
content specific characteristics such as: file size, delay tolerance, price
sensitivity. In a network operator's revenue maximization perspective while not
inflicting any user payoff degradation, we jointly optimize resource
allocation, pricing, and file scheduling. In accordance with the state of the
art LTE specifications, the proposed network demonstrates up to 32% increase in
revenue for a single cell and more than a 7-fold increase for a 7 cell
coordinated LTE broadcast network, compared to the conventional unicast
cellular networks.Comment: 6 pages; This paper will appear in the Proc. of IEEE WCNC 201
Improving perceptual multimedia quality with an adaptable communication protocol
Copyrights @ 2005 University Computing Centre ZagrebInnovations and developments in networking technology have been driven by technical considerations with little analysis of the benefit to the user. In this paper we argue that network parameters that define the network Quality of Service (QoS) must be driven by user-centric parameters such as user expectations and requirements for multimedia transmitted over a network. To this end a mechanism for mapping user-oriented parameters to network QoS parameters is outlined. The paper surveys existing methods for mapping user requirements to the network. An adaptable communication system is implemented to validate the mapping. The architecture adapts to varying network conditions caused by congestion so as to maintain user expectations and requirements. The paper also surveys research in the area of adaptable communications architectures and protocols. Our results show that such a user-biased approach to networking does bring tangible benefits to the user
Time-Dependent Pricing for Bandwidth Slicing under Information Asymmetry and Price Discrimination
Due to the bursty nature of Internet traffic, network service providers (NSPs) are forced to expand their network capacity in order to meet the ever-increasing peak-time traffic demand, which is however costly and inefficient. How to shift the traffic demand from peak time to off-peak time is a challenging task for NSPs. In this paper, we study the implementation of time-dependent pricing (TDP) for bandwidth slicing in software-defined cellular networks under information asymmetry and price discrimination. Congestion prices indicating real-time congestion levels of different links are used as a signal to motivate delay-tolerant users to defer their traffic demands. We formulate the joint pricing and bandwidth demand optimization problem as a two-stage Stackelberg leader-follower game. Then, we investigate how to derive the optimal solutions under the scenarios of both complete and incomplete information. We also extend the results from the simplified case of a single congested link to the more complicated case of multiple congested links, where price discrimination is employed to dynamically adjust the price of each congested link in accordance with its real-time congestion level. Simulation results demonstrate that the proposed pricing scheme achieves superior performance in increasing the NSP's revenue and reducing the peak-to-average traffic ratio (PATR).This work was supported in part by the National Natural Science Foundation of China under Grant Number 61971189, the Science and Technology Project of State Grid Corporation of China under Grant Number SGSDDK00KJJS1900405, the Exploration Project of State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University) under Grant Number LAPS2019-12, the Fundamental Research Funds for the Central Universities under Grant Number 2020MS001, and the National Key R&D Program of China under Grant Number 2019YFB1704702. This article was presented in part at the International Wireless Communications and Mobile Computing Conference (IWCMCâ18), Limassol, Cyprus, 2018. The associate editor coordinating the review of this article and approving it for publication was T. He. (Corresponding author: Bo Gu.) Zhenyu Zhou is with the State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources, School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 10220
A Content-Based Pricing Model for Municipal and Community Wireless Networks
The escalation of municipal and community wireless networks (CWNs) has raised many questions about the most suitable business model, funding instrument, and service pricing policy for a specific community. Unlike traditional Internet service providers, these networks provide wireless Internet access for the purpose of boosting the social and economic development of the community at large. Therefore, such projects need customized business models and pricing policies in order to achieve these objectives. We propose a content-based pricing model where the price of wireless applications is an increasing function of the used bandwidth and a decreasing function of the provided packet delay. We used the Opnet simulation tool to validate the proposed pricing model. The simulation results show that network operators may charge users only for audio and video applications because of the high bandwidth they use compared to data applications. The proposed pricing solution considers the social and economic objectives of CWNs
A Decision-Theoretic Approach to Resource Allocation in Wireless Multimedia Networks
The allocation of scarce spectral resources to support as many user
applications as possible while maintaining reasonable quality of service is a
fundamental problem in wireless communication. We argue that the problem is
best formulated in terms of decision theory. We propose a scheme that takes
decision-theoretic concerns (like preferences) into account and discuss the
difficulties and subtleties involved in applying standard techniques from the
theory of Markov Decision Processes (MDPs) in constructing an algorithm that is
decision-theoretically optimal. As an example of the proposed framework, we
construct such an algorithm under some simplifying assumptions. Additionally,
we present analysis and simulation results that show that our algorithm meets
its design goals. Finally, we investigate how far from optimal one well-known
heuristic is. The main contribution of our results is in providing insight and
guidance for the design of near-optimal admission-control policies.Comment: To appear, Dial M for Mobility, 200
QoE-centric service delivery: A collaborative approach among OTTs and ISPs
The provisioning of the quality to end users is a major objective for the successful deployment of multimedia services over the Internet. It is more and more evident from past research and service deployments that such an objective often requires a collaboration among the different parties that are involved in the delivery of the service. This paper specifically focuses on the cooperation between the Over-The-Top (OTTs) and the Internet Service Providers (ISPs) and proposes a novel service delivery approach that is purely driven by the Quality of Experience (QoE) provided to the final common users. Initially, we identify the need of the collaboration among the OTTs and the ISPs where we not only highlight some of the enterprise level motivations (revenue generation) but also the technical aspects which require collaboration. Later, we provide a reference architecture with the required modules and vertical interfaces for the interaction among the OTTs and the ISPs. Then, we provide a collaboration model where we focus on the modeling of the revenue, whose maximization drives the collaboration. The revenue is considered to be dependent on the user churn, which in turn is affected by the QoE and is modeled using the Sigmoid function. We illustrate simulation results based on our proposed collaboration approach which highlight how the proposed strategy increases the revenue generation and QoE for the OTTs and the ISPs hence providing a ground for ISP to join the loop of revenue generation between OTTs and users
Economic Policy Analysis and the Internet: Coming to Terms with a Telecommunications Anomaly
The significant set of public policy issues for economic analysis that arise from the tensions between the âspecial benefitsâ of the Internet as a platform for innovation, and the drawbacks of the âanomalousâ features of the Internet viewed as simply one among the array of telecommunications systems, is the focus of discussion in this chapter. Economists concerned with industrial organization and regulation (including antitrust and merger law) initially found new scope for application of their expertise in conventional policy analyses of the Internetâs interactions with other segments of the telecommunications sector (broadcast and cable television, radio and telephone), and emphasized the potential congestion problems posed by user anonymity and flat rate pricing. Policy issues of a more dynamic kind have subsequently come to the fore. These involve classic tradeoffs between greater efficiency and producer and consumer surpluses today, and a potential for more innovation in Web-based products and service in the future. Many such tradeoffs involve choices such as that between policies that would preserve the original âend-to-endâ design of the original Internet architecture, and those that would be more encouraging of market-driven deployment of new technologies that afforded ISPs with greater market power the opportunity to offer (and extract greater profits from) restricted-Web services that consumers valued highly, such as secure and private VOIP.public policy, telecommunications, Web-based products, user anonymity
A pricing proposal for a QoS enabled UMTS network
ArticleThird generation networks e.g. the Universal
Mobile Telecommunications System (UMTS) provide higher data
transfer rates which enables the transport of real-time
multimedia traffic e.g. streaming video. The cost of Internet
access over mobile networks remains high yet user demand for
mobile services is increasing rapidly. In order for mobile
computing to become viable, the deployment of charging schemes
that would see the cost of communication reflect the utilization of
resources on the network is necessary. A dynamic charging
scheme is an attractive solution. When prices change, users need
to indicate their willingness to continue using the service
especially when a price increase is beyond the level they
anticipated. In this paper we propose a charging scheme that
relies on the congestion at the RNC of the UMTS to calculate
pricing coefficients, which are in turn used in determining the
charge incurred for using the network. The use of user profiles
and network agents in the management of the charging scheme is
also explored.Third generation networks e.g. the Universal
Mobile Telecommunications System (UMTS) provide higher data
transfer rates which enables the transport of real-time
multimedia traffic e.g. streaming video. The cost of Internet
access over mobile networks remains high yet user demand for
mobile services is increasing rapidly. In order for mobile
computing to become viable, the deployment of charging schemes
that would see the cost of communication reflect the utilization of
resources on the network is necessary. A dynamic charging
scheme is an attractive solution. When prices change, users need
to indicate their willingness to continue using the service
especially when a price increase is beyond the level they
anticipated. In this paper we propose a charging scheme that
relies on the congestion at the RNC of the UMTS to calculate
pricing coefficients, which are in turn used in determining the
charge incurred for using the network. The use of user profiles
and network agents in the management of the charging scheme is
also explored
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