A Theory of Second-Order Wireless Network Optimization
Abstract
We introduce a new theoretical framework for optimizing second-order behaviors of wireless networks as a core result of the dissertation. Unlike existing techniques for network utility maximization, which only considers first-order statistics, this framework models every random process by its mean and temporal variance. The inclusion of temporal variance makes this framework well-suited for modeling various wireless channels. Using this framework, we sharply characterize the second-order capacity region of wireless access networks. We also propose a simple scheduling policy and prove that it can achieve every interior point in the second-order capacity region.
Subject
Brownian MotionAge-of-Information
Wireless Network
Second-order Framework
Gilbert-Elliot Model
Citation
Guo, Daojing (2021). A Theory of Second-Order Wireless Network Optimization. Doctoral dissertation, Texas A&M University. Available electronically from https : / /hdl .handle .net /1969 .1 /196362.