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dc.contributor.authorJouhari, Mohammed
dc.contributor.authorAmhoud, El Mehdi
dc.contributor.authorSaeed, Nasir
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2022-05-16T12:12:04Z
dc.date.available2022-05-16T12:12:04Z
dc.date.issued2022-02-22
dc.identifier.urihttp://hdl.handle.net/10754/677962
dc.description.abstractLong Range (LoRa) is the most widely used technology for enabling Low Power Wide Area Networks (LPWANs) on unlicensed frequency bands. Despite its modest Data Rates (DRs), it provides extensive coverage for low-power devices, making it an ideal communication system for many Internet of Things (IoT) applications. In general, LoRa radio is considered as the physical layer, whereas Long Range Wide Area Networks (LoRaWAN) is the MAC layer of the LoRa stack that adopts star topology to enable communication between multiple End Devices (EDs) and the network Gateway (GW). The Chirp Spread Spectrum (CSS) modulation deals with LoRa signals interference and ensures long-range communication. At the same time, the Adaptive Data Rate (ADR) mechanism allows EDs to dynamically alter some LoRa features such as the Spreading Factor (SF), Code Rate (CR), and carrier frequency to address the time variance of communication conditions in dense networks. Despite the high LoRa connectivity demand, LoRa signals interference and concurrent transmission collisions are major limitations. Therefore, to enhance LoRaWAN capacity, the LoRa alliance released many LoRaWAN versions, and the research community provided numerous solutions to develop scalable LoRaWAN technology. Hence, we thoroughly examined LoRaWAN scalability challenges and the state-of-the-art solutions in both the PHY and MAC layers. Most of these solutions rely on SF, logical, and frequency channel assignment, while others propose new network topologies or implement signal processing schemes to cancel the interference and allow LoRaWAN to connect more EDs efficiently. A summary of the existing solutions in the literature is provided at the end of the paper by describing the advantages and drawbacks of each solution and suggesting possible enhancements as future research directions.
dc.publisherarXiv
dc.relation.urlhttps://arxiv.org/pdf/2202.11082.pdf
dc.rightsArchived with thanks to arXiv
dc.titleA Survey on Scalable LoRaWAN for Massive IoT: Recent Advances, Potentials, and Challenges
dc.typePreprint
dc.contributor.departmentCommunication Theory Lab
dc.contributor.departmentComputer, Electrical and Mathematical Science and Engineering (CEMSE) Division
dc.contributor.departmentElectrical and Computer Engineering Program
dc.eprint.versionPre-print
dc.contributor.institutionSchool of Computer Science, Mohammed VI Polytechnic University, Ben Guerir, Morocco
dc.contributor.institutionDepartment of Electrical Engineering, National University of Technology, Islamabad, Pakistan
dc.identifier.arxivid2202.11082
kaust.personAlouini, Mohamed-Slim
refterms.dateFOA2022-05-16T12:12:57Z


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