Spectrum sharing for unlicensed bands

By Raúl Hernán Etkin, Abhay K. Parekh, David Tse. First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005., 2005

1,088 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Marketing, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/b4339c002a6e7b5af3120bc49c4b5f7cf5bd55d0

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Citations in the corpus

Cooperative Spectrum Sensing in Cognitive Radio, Part II: Multiuser Networks (2007, background): “In [ 9 ] [8], a game-theoretic approach is adapted for decentralized channel assignment.”
Dynamic Resource Allocation in Cognitive Radio Networks (2010, methodology): “For the traditional single-antenna IC with interference treated as noise, the optimality of TDMA/ FDMA for the sum capacity has been investigated under the ATPCs in [49] and [50].”
NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey (2006, methodology): “The effects of underlay and overlay approaches in a cooperative setting are investigated in [19], where non-cooperative users are analyzed using a game theoretical framework.”
Opportunistic Spectrum Access in Cognitive Radio Networks (2008, background): “Co-existence of cognitive users in unlicensed band has also been studied [12], [13], [14].”
Dynamic Spectrum Management: Complexity and Duality (2008, background): “It suggests that the Lagrangian dual decomposition approach [3], [4], [12], [21] may be a viable way to reach approximate optimality for ﬁnely discretized spectrum management problems.”
Cooperative Spectrum Sensing in Cognitive Radio, Part I: Two User Networks (2007, background): “In [9] [8], a game-theoretic approach is adapted for decentralized channel assignment.”
Game Theory in Wireless and Communication Networks (2008, positive): “The proof is based on the KKT condition [431, 139].”
COGNITIVE RADIOS FOR DYNAMIC SPECTRUM ACCESS - Dynamic Spectrum Sharing: A Game Theoretical Overview (2007, background): “One of the most important results in repeated game theory is Folk Theorem [1], which asserts that for infinite repeated games there exists a discount factor δ ^ 5 ] to show the efficiency of self-enforcing spectrum sharing in long-run scenarios.”
CRAHNs: Cognitive radio ad hoc networks (2009, positive): “In general, game theoretic approaches have been exploited to determine the communication resources of each user in CRAHNs [21,39,63].”
Optimal Linear Precoding Strategies for Wideband Noncooperative Systems Based on Game Theory—Part I: Nash Equilibria (2007, background): “Interestingly, the conditions obtained in [23]-[27], [29] are more restrictive than (C1)-(C4), as shown in the following corollary of Theorem 2.”
Convex Optimization in Signal Processing and Communications (2009, methodology): “92) does not suffer of the main drawback of the classical sequential IWFA [20, 62, 64], i.”
Competition Versus Cooperation on the MISO Interference Channel (2008, methodology): “All three [10]–[12] dealt with single-antenna transmitters and receivers, and looked at the problem from a noncooperative game-theoretic point of view.”
Game theory for cognitive radio networks: An overview (2010, background): “For instance, it is shown in [29] that any achievable rate in a Gaussian interference channel, in which multiple unlicensed users share the same band, can be obtained by piece-wise constant power allocations in that band with the number of segments at most twice of the number of users.”
Optimal Resource Allocation in Coordinated Multi-Cell Systems (2013, neutral): “We refer to [68, 140, 171, 230] and references therein for further details.”
Cooperative Communications for Cognitive Radio Networks (2009, background): “[13] studied a spectrum sharing problem in an unlicensed band”
Spectrum Sharing for Multi-Hop Networking with Cognitive Radios (2008, background): “In [6], Etkin et al. studied a utility maximization problem and solved it under certain condition.”