Towards an Extremal Network Theory -- Robust GDoF Gain of Transmitter Cooperation over TIN
Yao-Chia Chan, Junge Wang, Syed A. Jafar

TL;DR
This paper investigates the extremal network properties of GDoF gains from transmitter cooperation over TIN in interference channels, revealing bounds and scaling behaviors across different regimes with finite precision CSIT.
Contribution
It introduces an extremal network theory approach to analyze GDoF benefits of transmitter cooperation, providing bounds and scaling laws in various regimes.
Findings
GDoF optimality of TIN in CTIN regime under finite precision CSIT
Bounded GDoF gain from cooperation in TIN and CTIN regimes, independent of user count
Logarithmic scaling of GDoF gain in SLS regime with the number of users
Abstract
Significant progress has been made recently in Generalized Degrees of Freedom (GDoF) characterizations of wireless interference channels (IC) and broadcast channels (BC) under the assumption of finite precision channel state information at the transmitters (CSIT), especially for smaller or highly symmetric network settings. A critical barrier in extending these results to larger and asymmetric networks is the inherent combinatorial complexity of such networks. Motivated by other fields such as extremal combinatorics and extremal graph theory, we explore the possibility of an extremal network theory, i.e., a study of extremal networks within particular regimes of interest. As our test application, we study the GDoF benefits of transmitter cooperation in a user IC over the simple scheme of power control and treating interference as Gaussian noise (TIN) for three regimes of interest --…
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Taxonomy
TopicsCooperative Communication and Network Coding · Wireless Communication Security Techniques · Advanced MIMO Systems Optimization
