TY - GEN
T1 - Distributed strategic mode selection for large-scale D2D communications based on Queue State Information
AU - Hayel, Yezekael
AU - Simhon, Eran
AU - Starobinski, David
AU - Zhu, Quanyan
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/4/15
Y1 - 2015/4/15
N2 - Device-to-Device (D2D) communication that enables nearby mobiles to directly communicate one with another is a new paradigm aimed at increasing the capacity of next-generation wireless networks. The coexistence of D2D and cellular communication in the same spectrum poses new challenges for resource allocations and interference management in a large-scale wireless system where each mobile strategically selects its mode of communications. This paper formulates a game-theoretic framework to capture the distributed strategic behavior of a large population of mobiles in selecting their mode of communications. In particular, we investigate the impact of Queue State Information (QSI) of the base station (BS) on the mobile decisions, and we show that the common knowledge of QSI can induce bad quality of service for standard cellular traffic, when the capacity of the base station is below a certain threshold. This paradox will be used to guide the design of optimal learning and scheduling algorithms for the coexisting D2D communication networks.
AB - Device-to-Device (D2D) communication that enables nearby mobiles to directly communicate one with another is a new paradigm aimed at increasing the capacity of next-generation wireless networks. The coexistence of D2D and cellular communication in the same spectrum poses new challenges for resource allocations and interference management in a large-scale wireless system where each mobile strategically selects its mode of communications. This paper formulates a game-theoretic framework to capture the distributed strategic behavior of a large population of mobiles in selecting their mode of communications. In particular, we investigate the impact of Queue State Information (QSI) of the base station (BS) on the mobile decisions, and we show that the common knowledge of QSI can induce bad quality of service for standard cellular traffic, when the capacity of the base station is below a certain threshold. This paradox will be used to guide the design of optimal learning and scheduling algorithms for the coexisting D2D communication networks.
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U2 - 10.1109/CISS.2015.7086844
DO - 10.1109/CISS.2015.7086844
M3 - Conference contribution
AN - SCOPUS:84929207411
T3 - 2015 49th Annual Conference on Information Sciences and Systems, CISS 2015
BT - 2015 49th Annual Conference on Information Sciences and Systems, CISS 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 49th Annual Conference on Information Sciences and Systems, CISS 2015
Y2 - 18 March 2015 through 20 March 2015
ER -