Zachary J. Grey;Susanna Mosleh;Jacob D. Rezac;Yao Ma;Jason B. Coder;Andrew M. Dienstfrey
{"title":"Bi-Criteria Radio Spectrum Sharing With Subspace-Based Pareto Tracing","authors":"Zachary J. Grey;Susanna Mosleh;Jacob D. Rezac;Yao Ma;Jason B. Coder;Andrew M. Dienstfrey","doi":"10.1109/TCOMM.2022.3161516","DOIUrl":"10.1109/TCOMM.2022.3161516","url":null,"abstract":"Radio spectrum is a scarce resource. To meet demands, new wireless technologies must operate in shared spectrum over unlicensed bands (coexist). We consider coexistence of Long-Term Evolution (LTE) License-Assisted Access (LAA) with incumbent Wi-Fi systems. Our scenario consists of multiple LAA and Wi-Fi links sharing an unlicensed band; we aim to simultaneously optimize performance of both coexistence systems. To do this, we present a technique to continuously estimate the Pareto frontier of parameter sets (traces) which approximately maximize all convex combinations of network throughputs over network parameters. We use a dimensionality reduction approach known as active subspaces to determine that this near-optimal parameter set is primarily composed of two physically relevant parameters. A choice of two-dimensional subspace enables visualizations augmenting explainability and the reduced-dimension convex problem results in approximations which dominate random grid search.","PeriodicalId":13041,"journal":{"name":"IEEE Transactions on Communications","volume":"70 5","pages":"3512-3525"},"PeriodicalIF":8.3,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10091909/pdf/nihms-1856718.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9376543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}