$K$--User Interference Channel with Backhaul Cooperation: DoF vs. Backhaul Load Trade--Off
Borna Kananian, Mohammad Ali Maddah-ali, Babak Hossein Khalaj

TL;DR
This paper analyzes the trade-off between wireless channel degrees of freedom and backhaul communication load in multi-antenna $K$-user interference channels, establishing optimality of centralized schemes and limitations of distributed cooperation.
Contribution
It fully characterizes the DoF-backhaul load trade-off for even $K$ and approximately for odd $K$, introducing new outer-bounds and analyzing partial connectivity scenarios.
Findings
Optimal centralized scheme achieves full DoF with minimal backhaul load.
Distributed cooperation schemes do not scale with network size.
New outer-bound based on splitting collaborative nodes improves understanding of trade-offs.
Abstract
In this paper, we consider multiple-antenna -user interference channels with backhaul collaboration in one side (among the transmitters or among the receivers) and investigate the trade-off between the rate in the channel versus the communication load in the backhaul. In this investigation, we focus on a first order approximation result, where the rate of the wireless channel is measured by the degrees of freedom (DoF) per user, and the load of the backhaul is measured by the entropy of backhaul messages per user normalized by of transmit power, at high power regimes. This trade-off is fully characterized for the case of even values of , and approximately characterized for the case of odd values of , with vanishing approximation gap as grows. For full DoF, this result establishes the optimality (approximately) of the most straightforward scheme, called Centralized…
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Taxonomy
TopicsWireless Communication Security Techniques · Evolutionary Game Theory and Cooperation · Game Theory and Applications
