2015 IEEE International Conference on Communications (ICC) 2015
DOI: 10.1109/icc.2015.7248535
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Co-primary inter-operator spectrum sharing over a limited spectrum pool using repeated games

Abstract: Abstract-We consider two small cell operators deployed in the same geographical area, sharing spectrum resources from a common pool. A method is investigated to coordinate the utilization of the spectrum pool without monetary transactions and without revealing operator-specific information to other parties. For this, we construct a protocol based on asking and receiving spectrum usage favors by the operators, and keeping a book of the favors. A spectrum usage favor is exchanged between the operators if one is … Show more

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Cited by 22 publications
(25 citation statements)
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“…Works such as [22]- [24] have employed repeated games in the context of coexistence. Since repeated games might foster cooperation, authors in [22] study a punishment-based repeated game to model cooperation between multiple networks in an unlicensed band and illustrate that under certain conditions selfish behavior incur negligible losses and whether the systems cooperate or not does not have much influence on the performance.…”
Section: Related Workmentioning
confidence: 99%
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“…Works such as [22]- [24] have employed repeated games in the context of coexistence. Since repeated games might foster cooperation, authors in [22] study a punishment-based repeated game to model cooperation between multiple networks in an unlicensed band and illustrate that under certain conditions selfish behavior incur negligible losses and whether the systems cooperate or not does not have much influence on the performance.…”
Section: Related Workmentioning
confidence: 99%
“…where, a n−1 , is the action profile observed by the networks in stage (n−1) and R n corresponds to the signal from the coordination device P R . As shown in (24), if a n−1 ∈ {(T , I),(I, T )} networks play (φ * A , φ * T ). In a nutshell, cooperation is sustained as long as the players comply to the recommendation of the coordination device P R .…”
Section: B Repeated Game With Cooperating Networkmentioning
confidence: 99%
“…In the case that national roaming is not a desirable solution for the competitive MNOs, other types of sharing such as mutual renting and LSA-like approaches can prove beneficial. In this case, the MNOs can leverage their own existing infrastructure Mutual Renting (V-C-2-a) [115], [126][127] Spectrum Pooling (V-C-2-b) [80], [82], [84][85], [97] Inter-operator Spectrum and RAN Sharing (V-C-1)…”
Section: ) Sub-urban/urban Not-spot Coverage Enhancementmentioning
confidence: 99%
“…Database driven (e.g., geo-location database) [37], [79] + Provides accurate information regarding spectrum availability across the network + Reliable interference protection for sharing players + Can be an unbiased entity for fair spectrum allocation among sharing players -T oo complex for real-time spectrum opportunity detection -Requires additional infrastructure for deployment such as backhaul -Requires a third party to manage the sharing procedure -Imposes excess signalling overhead to the network/participating systems -Vulnerable to jamming attacks Spectrum broker/ Super resource scheduler [83], [84] Distributed Spectrum sensing (e.g., energy detection) [61], [37] , [33], + Is capable for on-demand and real-time spectrum opportunity detection + No additional infrastructure is required + Only target UE is involved to perform sensing, thus, lower signalling is imposed to the network -Is vulnerable to some issues such hidden node, false alarm and detection -Is not reliable for QoS sensitive services when sensing is performed by UE Coordinated Beamforming [85], [86] + Simultaneous utilisation of spectrum by multiple service providers + Increased spectrum utilisation efficiency -Requires CSI sharing between sharing players -Requires interface (such as backhaul, X2, etc.) between sharing players Game-T heory based coordination [87], [88], [89] + Low to no, information sharing between sharing players during sharing procedure + Low to no overhead is imposed to the network -Implementation complexities -Low fairness guarantees between sharing players…”
Section: Centralisedmentioning
confidence: 99%
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