Analysis of Massive MIMO-Enabled Downlink Wireless Backhauling for Full-Duplex Small Cells
Hina Tabassum, Ahmed Hamdi Sakr, and Ekram Hossain

TL;DR
This paper develops a stochastic geometry-based framework to analyze the downlink rate coverage in massive MIMO-enabled small cell networks with in-band and out-of-band wireless backhauls, addressing interference and channel effects.
Contribution
It introduces a flexible analytical model capturing interference and channel heterogeneity, deriving closed-form coverage probabilities and optimizing in-band/out-of-band small cell proportions.
Findings
In-band wireless backhauling can be beneficial under certain conditions.
Maintaining an optimal ratio of in-band and out-of-band small cells improves network performance.
Proposed remedial solutions can mitigate backhaul interference effectively.
Abstract
Using tools from stochastic geometry, we develop a framework to model the downlink rate coverage probability of a user in a given small cell network (SCN) with massive MIMO-enabled wireless backhauls. The considered SCN is composed of a mixture of small cells that are configured in either in-band or out-of-band backhaul modes with a certain probability. The performance of the user in the considered hierarchical network is limited by several sources of interference such as the backhaul interference, small cell base station (SBS)-to-SBS interference and the SI. Moreover, due to the channel hardening effect in massive MIMO, the backhaul links experience long term channel effects only, whereas the access links experience both the long term and short term channel effects. Consequently, the developed framework is flexible to characterize different sources of interference while capturing the…
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