Performance of Massive MIMO Self-Backhauling for Ultra-Dense Small Cell Deployments
Andrea Bonfante, Lorenzo Galati Giordano, David L\'opez-P\'erez,, Adrian Garcia-Rodriguez, Giovanni Geraci, Paolo Baracca, M. Majid Butt, Merim, Dzaferagic, Nicola Marchetti

TL;DR
This paper evaluates the performance of massive MIMO self-backhauling in ultra-dense small cell deployments, demonstrating significant benefits for cell-edge users but median user performance favors direct access.
Contribution
It provides a comprehensive simulation-based analysis of mMIMO s-BH versus direct access architectures, including deployment strategies and resource allocation impacts.
Findings
Dense small cell deployments with mMIMO s-BH improve cell-edge user rates.
mMIMO direct access outperforms s-BH for median users.
Deployment strategies and resource allocation significantly influence performance.
Abstract
A key aspect of the fifth-generation wireless communication network will be the integration of different services and technologies to provide seamless connectivity. In this paper, we consider using massive multiple-input multiple-output (mMIMO) to provide backhaul links to a dense deployment of self-backhauling (s-BH) small cells (SCs) that provide cellular access within the same spectrum resources of the backhaul. Through a comprehensive system-level simulation study, we evaluate the interplay between access and backhaul and the resulting end-to-end user rates. Moreover, we analyze the impact of different SCs deployment strategies, while varying the time resource allocation between radio access and backhaul links. We finally compare the above mMIMO-based s-BH approach to a mMIMO direct access (DA) architecture accounting for the effects of pilot reuse schemes, together with their…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
