Wireless Backhaul Networks: Capacity Bound, Scalability Analysis and Design Guidelines
Harpreet S. Dhillon, Giuseppe Caire

TL;DR
This paper analyzes the capacity and scalability of wireless backhaul networks with multi-antenna base stations, comparing long hop and short hop strategies, and provides design guidelines based on antenna requirements for scalable throughput.
Contribution
It derives capacity bounds and demonstrates that short hop strategies require fewer antennas per base station for scalability compared to long hop strategies.
Findings
Short hop strategy is more antenna-efficient for scalability.
Derived an information-theoretic upper bound on network capacity.
Constructed a scalable short hop strategy within fundamental DoF limits.
Abstract
This paper studies the scalability of a wireless backhaul network modeled as a random extended network with multi-antenna base stations (BSs), where the number of antennas per BS is allowed to scale as a function of the network size. The antenna scaling is justified by the current trend towards the use of higher carrier frequencies, which allows to pack large number of antennas in small form factors. The main goal is to study the per-BS antenna requirement that ensures scalability of this network, i.e., its ability to deliver non-vanishing rate to each source-destination pair. We first derive an information theoretic upper bound on the capacity of this network under a general propagation model, which provides a lower bound on the per-BS antenna requirement. Then, we characterize the scalability requirements for two competing strategies of interest: (i) long hop: each source-destination…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Millimeter-Wave Propagation and Modeling · Cooperative Communication and Network Coding
