A General Framework for Wireless Spectrum Auctions

By Sorabh Gandhi, Chiranjeeb Buragohain, Lili Cao, Haitao Zheng, S. Suri. 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2007

335 citations recorded by the source corpus.

Subfields: Management Information Systems, Management Science and Operations Research, Marketing

View Paper: https://www.semanticscholar.org/paper/f8ecb750da3280fc3819e3b525be48b9ac5223fe

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Information Systems

1. K. Liu
2. Beibei Wang

In Management Science and Operations Research

1. K. Liu
2. Beibei Wang
3. Walid Saad
4. Zhiguo Ding
5. Ekram Hossain
6. Zhu Han
7. Dusist Niyato
8. Qian Zhang

In Marketing

1. K. Liu
2. Beibei Wang
3. Ekram Hossain
4. Zhu Han
5. Walid Saad
6. Dusist Niyato
7. Qian Zhang

Citations in the corpus

• TRUST: A General Framework for Truthful Double Spectrum Auctions (2009, background): “Prior efforts include transmit power auctions [9], spectrum band auctions [4], [8], [19], [20], and spectrum pricing [6], [11], [15], [23].”
• Opportunistic Spectrum Access in Cognitive Radio Networks (2008, background): “Centralized and decentralized spectrum auction and brokerage have been proposed for efficient spectrum sharing, e.g., in [9], [10], [11].”
• eBay in the Sky: strategy-proof wireless spectrum auctions (2008, background): “These include transmit power auctions [6] where bidders use the same spectrum band but bid transmit power to minimize the interference, and spectrum band auctions [1, 4, 7, 13] where bidders obtain different spectrum channels to minimize the interference.”
• Cognitive Radio Architecture Evolution (2009, background): “Public safety and military users refer to the detailed knowledge of physical state as situation awareness [86], [ 87 ].”
• Game Theory in Wireless and Communication Networks (2008, background): “The details of the derivation can be found in [161].”
• Dynamics of Multiple-Seller and Multiple-Buyer Spectrum Trading in Cognitive Radio Networks: A Game-Theoretic Modeling Approach (2009, methodology): “In [6], quality-of-service (QoS) performance in a cognitive radio system involving primary and secondary users was analyzed by using a Markov chain.”
• Spectrum Trading in Cognitive Radio Networks: A Contract-Theoretic Modeling Approach (2011, background): “[23], Gandhi et al. proposed a framework of spectrum trading based on an auction mechanism for dynamic spectrum access.”
• Game theory for cognitive radio networks: An overview (2010, background): “In the auction framework proposed in [54], users bid for a fraction of the band and the auction outcome has to satisfy the interference constraint.”