Conference proceeding
Throughput bound minimization for random access channel assignment
2021 19th International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WIOPT), INSPEC Accession Number 21434079
01 Jan 2021
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Throughput extremization is an important facet of performance modeling for low-power wide-area network (LP-WAN) wireless networks (e.g., LoRaWAN) as it provides insight into the best and worst case behavior of the network. Our previous work on throughput extremization established lower and upper bounds on throughput for random access channel assignment over a collision erasure channel in which the lower bound is expressed in terms of the number of radios and sum load on each channel. In this paper the lower bound is further characterized by identifying two local minimizers (a load balanced assignment and an imbalanced assignment) where the decision variables are the number of radios assigned to each channel and the total load on each channel. A primary focus is to characterize how macro-parameters of the optimization, i.e., the total number of radios, their total load, and the minimum load per radio, determine the regions under which each of the local minimizers is in fact the global minimizer.
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2 citations in Scopus
Details
- Title
- Throughput bound minimization for random access channel assignment
- Creators
- Abhinanda Dutta - Drexel UniversitySteven Weber - Drexel University
- Publication Details
- 2021 19th International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WIOPT), INSPEC Accession Number 21434079
- Conference
- 2021 19th International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt), 19th (Philadelphia, Pennsylvania, United States, 18 Oct 2021–21 Oct 2021)
- Series
- International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)
- Publisher
- IEEE
- Number of pages
- 8
- Grant note
- CNS-1730140; CNS-1816387; CNS-1828236 / National Science Foundation; National Science Foundation (NSF)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000766966900015
- Scopus ID
- 2-s2.0-85119533442
- Other Identifier
- 991019170355704721
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InCites Highlights
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- Web of Science research areas
- Computer Science, Information Systems
- Mathematics, Applied
- Telecommunications