ACM Home Page
Please provide us with feedback. Feedback
Competitions and dynamics of duopoly wireless service providers in dynamic spectrum market
Full text PdfPdf (415 KB)
Source
International Symposium on Mobile Ad Hoc Networking & Computing archive
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing table of contents
Hong Kong, Hong Kong, China
SESSION: Game-theoretical aspects table of contents
Pages 313-322  
Year of Publication: 2008
ISBN:978-1-60558-073-9
Authors
Juncheng Jia  Hong Kong University of Science and Technology, Hong Kong, Hong Kong
Qian Zhang  Hong Kong University of Science and Technology, Hong Kong, Hong Kong
Sponsors
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1374618.1374660
What is a DOI?

ABSTRACT

Dynamic spectrum access can significantly improve the spectrum utilization. For wireless service providers, the emergence of dynamic spectrum access brings new opportunities and challenges. The flexible spectrum acquisition gives a particular provider the chance to easily adapt its system capacity to fit end users' demand. However, the competition among several providers for both spectrum and end users complicates the situation. In this paper, we propose a general three-layer spectrum market model for the future dynamic spectrum access system, in which the interaction among spectrum holder, wireless service providers and end users are considered. We study a duopoly situation, where two wireless service providers participate in bandwidth competition in spectrum purchasing and price competition to attract end users, with the aim of maximizing their own profit. We believe we are the first one to explicitly study the relation of these two competitions in dynamic spectrum market. We formulate the wireless service providers' competition as a non-cooperative two-stage game. We first analyze the static game when full information is available for providers. Under general assumptions about the price and demand functions, a unique pure Nash equilibrium is identified as the outcome of the game, which shows the stability of the market. We further evaluate the market efficiency of the equilibrium in a symmetric case, and show that the gap with the social optimal is bounded within a small constant ratio. When the market information is limited, we provide myopically optimal adjustment algorithms for the providers. With such strategies, short term price updating converges to the Nash equilibrium of the given subgame, while long term bandwidth updating converges to a point close to the Nash equilibrium of the full game.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
T. Börgers and C. Dustmann. Strange Bids: Bidding Behaviour in the United Kingdom's Third Generation Spectrum Auction. Centre for Economic Policy Research, 2001.
 
2
D. Chapin and D. Lehr. The Path to Market Success for Dynamic Spectrum Access Technology. IEEE Communications Magazine, 45(5):96, 2007.
 
3
 
4
D. Fudenberg and D. Levine. The Theory of Learning in Games. MIT Press, 1998.
 
5
S. Gandhi, C. Buragohain, L. Cao, H. Zheng, and S. Suri. A General Framework for Wireless Spectrum Auctions. IEEE DySPAN 2007, pages 22--33, 2007.
 
6
V. Grimm, F. Riedel, and E. Wolfstetter. Low price equilibrium in multi-unit auctions: the GSM spectrum auction in Germany. International Journal of Industrial Organization, 21(10):1557--1569, 2003.
 
7
S. Haykin. Cognitive radio: brain-empowered wireless communications. IEEE Journal on Selected Areas in Communications, 23(2):201--220, 2005.
 
8
O. Ileri, D. Samardzija, T. Sizer, and N. Mandayam. Demand responsive pricing and competitive spectrum allocation via a spectrum server. IEEE DySPAN 2005, pages 194--202, 2005.
 
9
H. Inaltekin, T. Wexler, and S. Wicker. A Duopoly Pricing Game for Wireless IP Services. IEEE SECON 2007, pages 600--609, 2007.
 
10
D. Kreps and J. Scheinkman. Quantity precommitment and Bertrand competition yield Cournot outcomes. Cournot Oligopoly: Characterization and Applications, 1988.
11
 
12
 
13
D. Niyato and E. Hossain. A Game-Theoretic Approach to Competitive Spectrum Sharing in Cognitive Radio Networks. IEEE WCNC 2007, pages 16--20, 2007.
14
 
15
S. Sengupta, M. Chatterjee, and S. Ganguly. An Economic Framework for Spectrum Allocation and Service Pricing with Competitive Wireless Service Providers. IEEE DySPAN 2007, pages 89--98, 2007.
 
16
A. Shaked and J. Sutton. Relaxing Price Competition Through Product Differentiation. The Review of Economic Studies, 49(1):3--13, 1982.
 
17
M. Short. Spectrum supply and demand - space oddity. http://www.ingenia.org.uk/ingenia/articles.aspx?Index=78, 2000.
 
18
N. Singh and X. Vives. Price and Quantity Competition in a Differentiated Duopoly. The RAND Journal of Economics, 15(4):546--554, 1984.
 
19
 
20
Y. Xing, R. Chandramouli, and C. Cordeiro. Price dynamics in competitive agile spectrum access markets. IEEE Journal on Selected Areas in Communications, 25(3):613--621, 2007.


Collaborative Colleagues:
Juncheng Jia: colleagues
Qian Zhang: colleagues