Information theoretic limits of state-dependent networks
Yunhao Sun

TL;DR
This paper explores the fundamental limits of certain wireless communication models with interference and state information, deriving capacity bounds and analyzing the effects of state correlation on interference cancellation.
Contribution
It provides improved capacity bounds for two-user state-dependent Gaussian channels and characterizes capacity regions across different interference regimes.
Findings
Derived tighter bounds on capacity regions for Gaussian MAC with a helper.
Characterized capacity regions for state-dependent Z-IC and IC under various regimes.
Numerical analysis shows the impact of state correlation on interference cancellation and capacity achievement.
Abstract
We investigate the information theoretic limits of two types of state-dependent models in this dissertation. These models capture a wide range of wireless communication scenarios where there are interference cognition among transmitters. Hence, information theoretic studies of these models provide useful guidelines for designing new interference cancellation schemes in practical wireless networks. In particular, we first study the two-user state-dependent Gaussian multiple access channel (MAC) with a helper. Inner and outer bounds on the capacity region are first derived, which improve the state-of-the-art bounds given in the literature. Further comparison of these bounds yields either segments on the capacity region boundary or the full capacity region by considering various regimes of channel parameters. We then study the two-user Gaussian state-dependent Z-IC and state-dependent IC.…
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Taxonomy
TopicsWireless Communication Security Techniques · Molecular Communication and Nanonetworks · Advanced Memory and Neural Computing
