Distributed spectrum allocation via local bargaining
By Lili Cao, Haitao Zheng. 2005 Second Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2005. IEEE SECON 2005., 2005
425 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/36ed5e925a55859dc87e1774762144003079a46d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Ian F. Akyildiz
- Geoffrey Y. Li
- Beibei Wang
- Ying-Chang Liang
- K. Liu
- Kaushik R. Chowdhury
- Rahul Urgaonkar
- Walid Saad
In Electrical and Electronic Engineering
- Ian F. Akyildiz
- Dusist Niyato
- Ying-Chang Liang
- Rui Zhang
- Geoffrey Y. Li
- Beibei Wang
- K. Liu
- Rahul Urgaonkar
Citations in the corpus
- Rendezvous for Cognitive Radios (2011, background): “Much of the work on multichannel Medium Access Control (MAC) protocols for ad hoc networks assumes that each node in the network is equipped with two radios (as described by Mo et al. [4] and references therein).”
- Game theory for cognitive radio networks: An overview (2010, background): “A distributed implementation is proposed in [23] where users adapt their spectrum assignment to approximate the optimal assignment through bargaining within local groups.”
- NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey (2006, background): “Thus, distributed spectrum allocation based on local bargaining is proposed in [15], where mobile users negotiate spectrum assignment within local selforganized groups.”
- Game Theory in Wireless and Communication Networks (2008, background): “Finally, beyond the presented examples, bargaining theory and the Nash bargaining solution admit numerous applications in wireless communications and networking such as in cognitive-radio networks [91, 516, 46], vehicular communications [455], common radio resource management [247].”
- Cognitive radio networking and communications: an overview (2011, background): “control is not considered in [109]–[111], and interference is restricted based on the physical separation of communication entities.”
- CRAHNs: Cognitive radio ad hoc networks (2009, positive): “Thus, a distributed spectrum allocation based on local bargaining is proposed in [9], where CR users negotiate”
- COGNITIVE RADIOS FOR DYNAMIC SPECTRUM ACCESS - Dynamic Spectrum Sharing: A Game Theoretical Overview (2007, background): “In [ 4 ] the authors propose a local bargaining approach to achieve distributed conflict-free spectrum assignment adapted to network topology changes.”
- Opportunistic Scheduling with Reliability Guarantees in Cognitive Radio Networks (2008, background): “Scheduling the secondary users under partial channel state information is considered in [8], [9] which uses a probabilistic maximum collision constraint with the primary users.”