Optimizing Unlicensed Band Spectrum Sharing With Subspace-Based Pareto Tracing

• URL: http://arxiv.org/abs/2102.09047v2
• Date: Wed, 24 Feb 2021 00:37:31 GMT
• Title: Optimizing Unlicensed Band Spectrum Sharing With Subspace-Based Pareto Tracing
• Authors: Zachary J. Grey and Susanna Mosleh and Jacob D. Rezac and Yao Ma and Jason B. Coder and Andrew M. Dienstfrey
• Abstract summary: New wireless technologies like Long-Term Evolution License-Assisted Access (LTE-LAA) operate in shared and unlicensed bands. LAA network must co-exist with incumbent IEEE 802.11 Wi-Fi systems. We consider a coexistence scenario where multiple LAA and Wi-Fi links share an unlicensed band.
• Score: 3.379748084011544
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: To meet the ever-growing demands of data throughput for forthcoming and deployed wireless networks, new wireless technologies like Long-Term Evolution License-Assisted Access (LTE-LAA) operate in shared and unlicensed bands. However, the LAA network must co-exist with incumbent IEEE 802.11 Wi-Fi systems. We consider a coexistence scenario where multiple LAA and Wi-Fi links share an unlicensed band. We aim to improve this coexistence by maximizing the key performance indicators (KPIs) of these networks simultaneously via dimension reduction and multi-criteria optimization. These KPIs are network throughputs as a function of medium access control protocols and physical layer parameters. We perform an exploratory analysis of coexistence behavior by approximating active subspaces to identify low-dimensional structure in the optimization criteria, i.e., few linear combinations of parameters for simultaneously maximizing KPIs. We leverage an aggregate low-dimensional subspace parametrized by approximated active subspaces of throughputs to facilitate multi-criteria optimization. The low-dimensional subspace approximations inform visualizations revealing convex KPIs over mixed active coordinates leading to an analytic Pareto trace of near-optimal solutions.

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