11,350 research outputs found
Asymmetric-valued Spectrum Auction and Competition in Wireless Broadband Services
We study bidding and pricing competition between two spiteful mobile network
operators (MNOs) with considering their existing spectrum holdings. Given
asymmetric-valued spectrum blocks are auctioned off to them via a first-price
sealed-bid auction, we investigate the interactions between two spiteful MNOs
and users as a three-stage dynamic game and characterize the dynamic game's
equilibria. We show an asymmetric pricing structure and different market share
between two spiteful MNOs. Perhaps counter-intuitively, our results show that
the MNO who acquires the less-valued spectrum block always lowers his service
price despite providing double-speed LTE service to users. We also show that
the MNO who acquires the high-valued spectrum block, despite charing a higher
price, still achieves more market share than the other MNO. We further show
that the competition between two MNOs leads to some loss of their revenues. By
investigating a cross-over point at which the MNOs' profits are switched, it
serves as the benchmark of practical auction designs
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Congestion control in multi-serviced heterogeneous wireless networks using dynamic pricing
Includes bibliographical references.Service providers, (or operators) employ pricing schemes to help provide desired QoS to subscribers and to maintain profitability among competitors. An economically efficient pricing scheme, which will seamlessly integrate usersâ preferences as well as service providersâ preferences, is therefore needed. Else, pricing schemes can be viewed as promoting social unfairness in the dynamically priced network. However, earlier investigations have shown that the existing dynamic pricing schemes do not consider the usersâ willingness to pay (WTP) before the price of services is determined. WTP is the amount a user is willing to pay based on the worth attached to the service requested. There are different WTP levels for different subscribers due to the differences in the value attached to the services requested and demographics. This research has addressed congestion control in the heterogeneous wireless network (HWN) by developing a dynamic pricing scheme that efficiently incentivises users to utilize radio resources. The proposed Collaborative Dynamic Pricing Scheme (CDPS), which identifies the users and operatorsâ preference in determining the price of services, uses an intelligent approach for controlling congestion and enhancing both the usersâ and operatorsâ utility. Thus, the CDPS addresses the congestion problem by firstly obtaining the users WTP from usersâ historical response to price changes and incorporating the WTP factor to evaluate the service price. Secondly, it uses a reinforcement learning technique to illustrate how a price policy can be obtained for the enhancement of both users and operatorsâ utility, as total utility reward obtained increases towards a defined âgoal stateâ
Me and you and everyone we know: an empirical analysis of local network effects in mobile communications.
This paper aims at investigating the importance that consumers assign to local network effects (i.e. the extent to which they take into account their contactsâ operators in determining their choices) and at identifying which individual characteristics affect consumersâ preferences in relation to local network effects. Based on a sample of 193 Italian students, we find that consumers are highly heterogeneous with respect to the evaluation of the importance of their friend/familyâs operator when choosing their own provider, and that such heterogeneity is associated to specific characteristics related to individual innovativeness and patterns of mobile phone usage. In particular, consumers who are more interested in local network effects are typically sophisticated users, who use intensively voice services and who are early adopters. Interestingly, consumers who pay attention to local network effects end up spending relatively little in proportion to their intensity of use.
Auctioning Bulk Mobile Messages
The search for enablers of continued growth of SMS traffic, as well asthe take-off of the more diversified MMS message contents, open up forenterprises the potential of bulk use of mobile messaging , instead ofessentially one-by-one use. In parallel, such enterprises or valueadded services needing mobile messaging in bulk - for spot use or foruse over a prescribed period of time - want to minimize totalacquisition costs, from a set of technically approved providers ofmessaging capacity.This leads naturally to the evaluation of auctioning for bulk SMS orMMS messaging capacity, with the intrinsic advantages therein such asreduction in acquisition costs, allocation efficiency, and optimality.The paper shows, with extensive results as evidence from simulationscarried out in the Rotterdam School of Management e-Auction room, howmulti-attribute reverse auctions perform for the enterprise-buyer, aswell as for the messaging capacity-sellers. We compare 1- and 5-roundauctions, to show the learning effect and the benefits thereof to thevarious parties. The sensitivity will be reported to changes in theenterprise's and the capacity providers utilities and prioritiesbetween message attributes (such as price, size, security, anddelivery delay). At the organizational level, the paper also considersalternate organizational deployment schemes and properties for anoff-line or spot bulk messaging capacity market, subject to technicaland regulatory constraints.MMS;EMS;Mobile commerce;SMS;multi-attribute auctions
Addressing the Challenges in Federating Edge Resources
This book chapter considers how Edge deployments can be brought to bear in a
global context by federating them across multiple geographic regions to create
a global Edge-based fabric that decentralizes data center computation. This is
currently impractical, not only because of technical challenges, but is also
shrouded by social, legal and geopolitical issues. In this chapter, we discuss
two key challenges - networking and management in federating Edge deployments.
Additionally, we consider resource and modeling challenges that will need to be
addressed for a federated Edge.Comment: Book Chapter accepted to the Fog and Edge Computing: Principles and
Paradigms; Editors Buyya, Sriram
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