654 research outputs found

    An Econometric Analysis of 3G Auction Spectrum Valuations

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    Scarce radio spectrum is assigned to mobile network operators (MNOs) by national regulatory authorities (NRAs). Spectrum is usually assigned by beauty contest or an auction. The process requires that winners make a payment to the government. MNOs seek scarce spectrum to enable the provision of wireless services for profit. While MNOs are imperfectly aware of their costs, NRAs rely solely on MNOs for this information. As such, NRAs set spectrum assignment conditions (including minimum bid price) largely ignorant of MNO operating conditions. This study examines the performance of 3G auction outcomes in terms of the prices paid by winners via an econometric analysis of a unique sample of national 3G spectrum auctions. These winning bids depend on national and mobile market conditions, spectrum package attributes, license process, and post-award operator requirements. Finally, model estimation accounts for the censored nature of these data.Mobile telephone markets, spectrum allocation, spectrum bid price

    Radio Spectrum and the Disruptive Clarity OF Ronald Coase.

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    In the Federal Communications Commission, Ronald Coase (1959) exposed deep foundations via normative argument buttressed by astute historical observation. The government controlled scarce frequencies, issuing sharply limited use rights. Spillovers were said to be otherwise endemic. Coase saw that Government limited conflicts by restricting uses; property owners perform an analogous function via the "price system." The government solution was inefficient unless the net benefits of the alternative property regime were lower. Coase augured that the price system would outperform the administrative allocation system. His spectrum auction proposal was mocked by communications policy experts, opposed by industry interests, and ridiculed by policy makers. Hence, it took until July 25, 1994 for FCC license sales to commence. Today, some 73 U.S. auctions have been held, 27,484 licenses sold, and 52.6billionpaid.Thereformisatextbookexampleofeconomicpolicysuccess.WeexamineCoase‘sseminal1959paperontwolevels.First,wenotetheimportanceofitsanalyticalsymmetry,comparingadministrativetomarketmechanismsundertheassumptionofpositivetransactioncosts.Thisfundamentalinsighthashadenormousinfluencewithintheeconomicsprofession,yetisoftenlostincurrentanalyses.Thisanalyticalinsighthaditsbeginninginhisacclaimedearlyarticleonthefirm(Coase1937),andcontinuedintohissubsequenttreatmentofsocialcost(Coase1960).Second,weinvestigatewhyspectrumpolicieshavestoppedwellshortofthepropertyrightsregimethatCoaseadvocated,consideringrent−seekingdynamicsandtheemergenceofnewtheorieschallengingCoase‘spropertyframework.Oneconclusioniseasilyrendered:competitivebiddingisnowthedefaulttoolinwirelesslicenseawards.Byruleofthumb,about52.6 billion paid. The reform is a textbook example of economic policy success. We examine Coase‘s seminal 1959 paper on two levels. First, we note the importance of its analytical symmetry, comparing administrative to market mechanisms under the assumption of positive transaction costs. This fundamental insight has had enormous influence within the economics profession, yet is often lost in current analyses. This analytical insight had its beginning in his acclaimed early article on the firm (Coase 1937), and continued into his subsequent treatment of social cost (Coase 1960). Second, we investigate why spectrum policies have stopped well short of the property rights regime that Coase advocated, considering rent-seeking dynamics and the emergence of new theories challenging Coase‘s property framework. One conclusion is easily rendered: competitive bidding is now the default tool in wireless license awards. By rule of thumb, about 17 billion in U.S. welfare losses have been averted. Not bad for the first 50 years of this, or any, Article appearing in Volume II of the Journal of Law & Economics.

    Cooperative retransmission protocols in fading channels : issues, solutions and applications

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    Future wireless systems are expected to extensively rely on cooperation between terminals, mimicking MIMO scenarios when terminal dimensions limit implementation of multiple antenna technology. On this line, cooperative retransmission protocols are considered as particularly promising technology due to their opportunistic and flexible exploitation of both spatial and time diversity. In this dissertation, some of the major issues that hinder the practical implementation of this technology are identified and pertaining solutions are proposed and analyzed. Potentials of cooperative and cooperative retransmission protocols for a practical implementation of dynamic spectrum access paradigm are also recognized and investigated. Detailed contributions follow. While conventionally regarded as energy efficient communications paradigms, both cooperative and retransmission concepts increase circuitry energy and may lead to energy overconsumption as in, e.g., sensor networks. In this context, advantages of cooperative retransmission protocols are reexamined in this dissertation and their limitation for short transmission ranges observed. An optimization effort is provided for extending an energy- efficient applicability of these protocols. Underlying assumption of altruistic relaying has always been a major stumbling block for implementation of cooperative technologies. In this dissertation, provision is made to alleviate this assumption and opportunistic mechanisms are designed that incentivize relaying via a spectrum leasing approach. Mechanisms are provided for both cooperative and cooperative retransmission protocols, obtaining a meaningful upsurge of spectral efficiency for all involved nodes (source-destination link and the relays). It is further recognized in this dissertation that the proposed relaying-incentivizing schemes have an additional and certainly not less important application, that is in dynamic spectrum access for property-rights cognitive-radio implementation. Provided solutions avoid commons-model cognitive-radio strict sensing requirements and regulatory and taxonomy issues of a property-rights model
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