Options and overbooking strategy in the management of wireless spectrum

Dynamic spectrum management makes it possible for the owner of usage rights on some frequency blocks to sublet each of them in real time and for a limited period of time. As a softer implementation with respect to the spot market a two stage assignment is here proposed through the use of options, which give buyers the right to purchase the usage right on a single block and for a timeslot. In the sale of options the primary owner may accomplish an overbooking strategy, which consists in selling more blocks than the available ones, and acts as a hedging tool against the risk of unsold blocks. A model for the overbooking strategy is described and evaluated, which takes into account both the value of the option, the correlated decisions taken by the prospective purchasers, and the penalty to be paid to the unsatisfied customers. The dependence of the economical convenience of the overbooking strategy on the relevant parameters (among which the penalty value and the overbooking ratio) is shown for a significant range of cases.

[1]  R. Vohra,et al.  Spectrum Markets for Wireless Services , 2008, 2008 3rd IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[2]  Fotios C. Harmantzis,et al.  Investment decisions in the wireless industry applying real options , 2007 .

[3]  Harald Gruber 3G Mobile Telecommunications Licenses in Europe: A Critical Review , 2007 .

[4]  Loretta Mastroeni,et al.  A real options model for the transferability value of telecommunications licenses , 2010, Ann. des Télécommunications.

[5]  James Alleman,et al.  A new view of telecommunications economics , 2002 .

[6]  Paul Glasserman,et al.  Importance Sampling for Portfolio Credit Risk , 2005, Manag. Sci..

[7]  Maurice Bellanger,et al.  Annals of telecommunications , 1994 .

[8]  David Withers Radio Spectrum Management , 1999 .

[9]  Shuji Tasaka Performance analysis of multiple access protocols , 1986 .

[10]  B. Glover,et al.  Dynamic Spectrum: Going Full Circle , 2007, 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[11]  Raja G. Kasilingam An economic model for air cargo overbooking under stochastic capacity , 1997 .

[12]  Christian Dustmann,et al.  Awarding telecom licences: the recent European experience , 2003 .

[13]  Yoshinori Suzuki,et al.  An empirical analysis of the optimal overbooking policies for US major airlines , 2002 .

[14]  R. C. Merton,et al.  The Returns and Risk of Alternative Call Option Portfolio Investment Strategies , 1978 .

[15]  J.E. Mazo,et al.  Digital communications , 1985, Proceedings of the IEEE.

[16]  J. Hull Options, Futures, and Other Derivatives , 1989 .

[17]  John A. Stine Enabling Secondary Spectrum Markets Using Ad Hoc and Mesh Networking Protocols , 2006, J. Commun..

[18]  Arthur De Vany,et al.  Implementing a Market‐Based Spectrum Policy* , 1998 .

[19]  Shaojie Tang,et al.  Spectrum Bidding in Wireless Networks and Related , 2008, COCOON.

[20]  Giorgos Cheliotis,et al.  Stochastic models for telecom commodity prices , 2001, Comput. Networks.

[21]  A. D. Vany,et al.  A Property System for Market Allocation of the Electromagnetic Spectrum: A Legal-Economic-Engineering Study , 1969 .

[22]  Peter Curwen,et al.  The prospects for third generation new entrants in the European mobile telecommunications industry , 2006 .

[23]  Peter A. Forsyth,et al.  Managing capacity for telecommunications networks under uncertainty , 2002, TNET.

[24]  L. Doyle,et al.  Towards a Fluid Spectrum Market for Exclusive Usage Rights , 2007, 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks.