By Yu Wang, Hui Xiong, Shlomo Argamon, XiangYang Li, JianZhong Li
This e-book constitutes the court cases of the 1st foreign convention on huge information Computing and Communications, BigCom 2015, held in Taiyuan, China, in August 2015. The forty-one papers offered during this quantity have been rigorously reviewed and chosen from seventy four submissions. They have been geared up in topical sections named: instant verbal exchange and networks; database and massive information; clever telephone and sensing software; protection and privateness; structure and purposes; sensor networks and RFID; social networks and suggestion; sign processing and trend attractiveness; and routing and source management.
Read or Download Big Data Computing and Communications: First International Conference, BigCom 2015, Taiyuan, China, August 1-3, 2015, Proceedings PDF
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Extra resources for Big Data Computing and Communications: First International Conference, BigCom 2015, Taiyuan, China, August 1-3, 2015, Proceedings
Kalman ﬁltering with state constraints: a survey of linear and nonlinear algorithms. IET Control Theory & Applications 4(8), 1303–1318 (2010) 18. : A compressed sensing technique for ofdm channel estimation in mobile environments: Exploiting channel sparsity for reducing pilots. In: IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2008, pp. 2885–2888. IEEE (2008) 19. : Regression shrinkage and selection via the lasso: a retrospective. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 73(3), 273–282 (2011) 20.
In: 2011 Proceedings IEEE INFOCOM, pp. 3020–3028, April 2011 4. : Auction mechanisms for distributed spectrum sharing. In: Proceedings of 42nd Allerton Conference (2004) RTDA: A Novel Reusable Truthful Double Auction Mechanism 27 5. : Spring: a strategy-proof and privacy preserving spectrum auction mechanism. In: 2013 Proceedings IEEE INFOCOM, pp. 827–835, April 2013 6. : What really matters in auction design. The Journal of Economic Perspectives 16(1), 169–189 (2002) 7. : Groupon in the air: a three-stage auction framework for spectrum group-buying.
1 Setup of Simulation First, we will declare three parameters in the simulation. • Bids Distribution. We assume that the bid bbj of a buyer j is randomly distributed, where 0 is the minimum while 1 is the maximum value. To Bb simplify the simulation experiment, we let bbj = tj j 1 . For sellers, we assume that their bids Bis are randomly distributed over (0, 2], just as the setup in TRUST. • Time Slot. We assume that each channel is cut into 4 time slots by default. Each buyer will ask for at least one time slot of one channel by random distribution.