Search results for "Random-access channel"

showing 3 items of 3 documents

Rate-Splitting Random Access Mechanism for Massive Machine Type Communications in 5G Cellular Internet-of-Things

2021

The cellular Internet-of-Things has resulted in the deployment of millions of machine-type communication (MTC) devices. These massive number of devices must communicate with a single gNodeB (gNB) via the random access channel (RACH) mechanism. However, existing RACH mechanisms are inefficient when dealing with such large number of devices. To address this issue, we propose the rate-splitting random access (RSRA) mechanism, which uses rate splitting and decoding in rate-splitting multiple access (RSMA) to improve RACH success rates. The proposed mechanism divides the message into common and private messages and enhances the decoding performance. We demonstrate, using extensive simulations, t…

FOS: Computer and information sciencesbusiness.industryMechanism (biology)Computer scienceComputer Science - Information TheoryInformation Theory (cs.IT)Type (model theory)Random-access channelSoftware deploymentInternet of Thingsbusiness5GRandom accessDecoding methodsComputer network2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
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Anomaly Detection Algorithms for the Sleeping Cell Detection in LTE Networks

2015

The Sleeping Cell problem is a particular type of cell degradation in Long-Term Evolution (LTE) networks. In practice such cell outage leads to the lack of network service and sometimes it can be revealed only after multiple user complains by an operator. In this study a cell becomes sleeping because of a Random Access Channel (RACH) failure, which may happen due to software or hardware problems. For the detection of malfunctioning cells, we introduce a data mining based framework. In its core is the analysis of event sequences reported by a User Equipment (UE) to a serving Base Station (BS). The crucial element of the developed framework is an anomaly detection algorithm. We compare perfor…

ta113Engineeringta213business.industryEvent (computing)Real-time computingProbabilistic logicdata miningSONanomaly detectionself-organizing networksLTEBase stationcell outageSoftwareRandom-access channelUser equipmentNetwork serviceAnomaly detectionmobile cellular networkstiedonlouhintabusiness
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Data mining framework for random access failure detection in LTE networks

2014

Sleeping cell problem is a particular type of cell degradation. There are various software and hardware reasons that might cause such kind of cell outage. In this study a cell becomes sleeping because of Random Access Channel (RACH) failure. This kind of network problem can appear due to misconfiguration, excessive load or software/firmware problem at the Base Station (BS). In practice such failure might cause network performance degradation, which is hardly traceable by an operator. In this paper we present a data mining based framework for the detection of problematic cells. In its core is the analysis of event sequences reported by a User Equipment (UE) to a serving BS. The choice of N i…

ta113sleeping cell problembusiness.industryComputer scienceFirmwareHeuristic (computer science)Event (computing)Reliability (computer networking)data miningLTE networkscomputer.software_genreBase stationRandom-access channelUser equipmentData miningbusinessrandom access channelcomputerRandom accessComputer network2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC)
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