Auction-Based Spectrum Sharing
By Jianwei Huang, Randall A. Berry, Michael L. Honig. Mob. Networks Appl., 2006
635 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Marketing, Media Technology
View Paper: https://www.semanticscholar.org/paper/95825e1b92c8fdb0ec169974539bc0d244bdf437
How researchers see this paper
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In Management Science and Operations Research
- Dusist Niyato
- Jean-Pierre Hubaux
- Ekram Hossain
- Zhu Han
- Qian Zhang
- Walid Saad
- Mung Chiang
- Zhiguo Ding
In Marketing
- Jean-Pierre Hubaux
- Zhu Han
- Dusist Niyato
- Qian Zhang
- Ekram Hossain
- Mung Chiang
- Rui Zhang
- Ying-Chang Liang
In Media Technology
- Dusist Niyato
- Jean-Pierre Hubaux
- Zhu Han
- Qian Zhang
- Ekram Hossain
- Mung Chiang
- Rui Zhang
- Ying-Chang Liang
Citations in the corpus
- Stackelberg game for utility-based cooperative cognitiveradio networks (2009, background): “, single-stage non-cooperative dynamic spectrum sharing game [12], single-stage cooperative dynamic spectrum sharing game [4], multi-stage dynamic game and auction game [5].”
- A Survey of 5G Network: Architecture and Emerging Technologies (2015, background): “The spectrum broker approach is one of the example of a centralized sharing technique in which horizontally sharing systems negotiate with a central resource management unit for getting short term grants to use spectrum resources on a limited basis [45].”
- Dynamic Spectrum Access with QoS and Interference Temperature Constraints (2007, background): “Here, we consider a scenario similar to [9], where secondary users wish to use a local, relatively short-term data service, and all users adopt a spread spectrum signaling format, in which the transmitted power is evenly spread across the entire available band controlled by the manager.”
- Security and Cooperation in Wireless Networks (2007, methodology): “Game theory is used to study the power control of user devices in wireless networks, notably in cellular systems as studied in [21, 156, 184, 206, 264, 274, 254, 381] and [402].”
- 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].”
- COGNITIVE RADIOS FOR DYNAMIC SPECTRUM ACCESS - Dynamic Spectrum Sharing: A Game Theoretical Overview (2007, background): “In [ 6 ] two auction mechanisms were proposed considering different payment metrics: one is to charge secondary users according to their received signal-to-interference-plus-noise ratio (SINR); the other is to charge secondary users according to their received power.”
- Game Theory in Wireless and Communication Networks (2008, background): “, time-slot allocation [469] and power control [134, 217]).”
- Revenue generation for truthful spectrum auction in dynamic spectrum access (2009, methodology): “[21] uses auction to allocate transmit power 0 5 10 15 20 0 0.”
- Auction-Based Resource Allocation for Cooperative Communications (2008, background): “We also consider the multiple relay case in Section IV, whereas [16] considers the problem of allocating resource only at a single measurement point. π B i (b − i , π) π s i ˆ π s i Fig.”
- Exploiting Multi-Antennas for Opportunistic Spectrum Sharing in Cognitive Radio Networks (2007, background): “When multiple secondary users share a single-frequency channel advertised by the primary user, the authors in [6], [7] utilize the game theory to maximize the sum of the utility functions of the secondary users under the interference-power constraint at some measured point, while in [8], [9] transmi”
- Spectrum Trading in Cognitive Radio Networks: A Contract-Theoretic Modeling Approach (2011, methodology): “In [19], an auction mechanism was applied to the problem of spectrum sharing among users using spread spectrum signaling to access the channel.”
- Game theory for cognitive radio networks: An overview (2010, background): “In [52], SINR auctions and power auction mechanisms are studied subjected to a constraint on the accumulated interference power, or the so-called ‘‘interference temper-ature”, at a measurement point, which must be below the tolerable amount of the primary system.”
- 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.”