Collaboration and fairness in opportunistic spectrum access

By Haitao Zheng, Chunyi Peng. IEEE International Conference on Communications, 2005. ICC 2005. 2005, 2005

398 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/429f7daedc0fc9fd3843df1937d085d34ae2f69e

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey (2006, methodology): “In the Nautilus project, a distributed, scalable and efficient coordination framework for open spectrum ad hoc networks is proposed, which accounts for spectrum heterogeneity while not relying on the existence of a pre-defined common channel for control traffic [73] [74].”
A Survey of Dynamic Spectrum Access (2007, neutral): “Centralized and distributed suboptimal approaches have been proposed [32], [33].”
Utilization and fairness in spectrum assignment for opportunistic spectrum access (2006, result): “These results further motivate the Open Spectrum [2], [6], [13], [19], [26], [27] approach to spectrum access.”
Joint Design and Separation Principle for Opportunistic Spectrum Access in the Presence of Sensing Errors (2007, background): “A majority of existing work on OSA focuses on exploiting spatial spectrum opportunities that are static or slowly varying in time (see [7]–[9] and references therein).”
Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework (2007, background): “In contrast to the apparent spectrum scarcity is the pervasive existence of spectrum opportunity.”
Exploiting Multi-Antennas for Opportunistic Spectrum Sharing in Cognitive Radio Networks (2007, methodology): “When multiple secondary users share a sin gle-frequency channel advertised by the primary user, the authors in [6]-[7] utilize the game theory to maximize th sum of the utility functions of the secondary users under the interference-power constraint at some measured p oint, while in [8]-[9] transmit”
Dynamic Spectrum Access: Signal Processing, Networking, and Regulatory Policy (2006, neutral): “In the context of exploiting locally unused TV broadcast bands, spatial spectrum opportunity sharing among secondary users has been investigated (see [35]–[38] and references therein).”
A Survey on MAC Strategies for Cognitive Radio Networks (2012, methodology): “Several approaches have been considered to model network interactions in DSA protocols, such as graph coloring theory [31], [32], game theory [33], [34], stochastic theory [35], genetic algorithms [36], and swarm intelligence algorithms [37].”
Joint Beamforming and Power Allocation for Multiple Access Channels in Cognitive Radio Networks (2008, methodology): “Other work for joint channel allocation and power control under the CR scenario can be found, e.g., in [7], [ 8 ], and [9].”
Cognitive radio networking and communications: an overview (2011, background): “In [110], the authors study a similar problem and introduce a reward function that is”
Fairness in Wireless Networks:Issues, Measures and Challenges (2014, background): “There are many other optimization problems based on max-min or min-max fairness such as the multiple resource max-min fairness and distributed max-min fairness [20], [25], [34], [38]–[40].”