Heavy Traffic Methods in Wireless Systems: Towards Modeling Heavy Tails and Long Range Dependence

Author(s):  
Robert T. Buche ◽  
Arka Ghosh ◽  
Vladas Pipiras ◽  
Jim X. Zhang
1999 ◽  
Vol 9 (2) ◽  
pp. 352-375 ◽  
Author(s):  
David Heath ◽  
Sidney Resnick ◽  
Gennady Samorodnitsky

2016 ◽  
Vol 48 (2) ◽  
pp. 349-368
Author(s):  
Michael A. Kouritzin ◽  
Samira Sadeghi

Abstract The Marcinkiewicz strong law, limn→∞(1 / n1/p)∑k=1n(Dk - D) = 0 almost surely with p ∈ (1, 2), is studied for outer products Dk = {XkX̅kT}, where {Xk} and {X̅k} are both two-sided (multivariate) linear processes (with coefficient matrices (Cl), (C̅l) and independent and identically distributed zero-mean innovations {Ξ} and {Ξ̅}). Matrix sequences Cl and C ̅l can decay slowly enough (as |l| → ∞) that {Xk,X ̅k} have long-range dependence, while {Dk} can have heavy tails. In particular, the heavy-tail and long-range-dependence phenomena for {Dk} are handled simultaneously and a new decoupling property is proved that shows the convergence rate is determined by the worst of the heavy tails or the long-range dependence, but not the combination. The main result is applied to obtain a Marcinkiewicz strong law of large numbers for stochastic approximation, nonlinear function forms, and autocovariances.


2004 ◽  
Vol 46 (1/2) ◽  
pp. 5-7
Author(s):  
Takis Konstantopoulos ◽  
Stan Zachary ◽  
Serguei Foss

1998 ◽  
Vol 23 (1) ◽  
pp. 145-165 ◽  
Author(s):  
David Heath ◽  
Sidney Resnick ◽  
Gennady Samorodnitsky

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