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Enhanced Random Access: Initial access load balance in highly dense LTE-A networks for multiservice (H2H-MTC) traffic
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Radio Systems Laboratory (RS Lab).
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Radio Systems Laboratory (RS Lab).
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Radio Systems Laboratory (RS Lab).
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Radio Systems Laboratory (RS Lab).
2017 (English)In: 2017 IEEE International Conference on Communications, ICC 2017, Institute of Electrical and Electronics Engineers (IEEE), 2017, article id 7996622Conference paper, Published paper (Refereed)
Abstract [en]

The Random Access (RA) procedure in existing cellular networks is not capable of functioning properly during high access load conditions. For this purpose, overload control mechanisms are needed. Most proposed mechanisms in the literature offer a tradeoff between access rate and experienced delay. However, when the maximal tolerated delay and the energy spent on retransmissions are tightly bounded, the very high access rate, targeted for 5G systems, cannot be achieved. For these situations, we propose the Delay Estimation based RA (DERA)-scheme that has the potential to meet very stringent reliability requirements, even in high access load conditions. The present work shows that this goal can be achieved only in the cost of limited additional complexity. Furthermore, we also study the optimal switchover point at which the proposed scheme moves from low-load to the high-load phase. The derived tool can also be used along with other proposed RA overload control schemes, e.g. when to invoke access class barring. The performance evaluation results show that the novel DERA scheme can significantly improve the control channels' resource utilization along with the success rate in dense deployment scenarios.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. article id 7996622
Series
IEEE International Conference on Communications, ISSN 1550-3607
Keyword [en]
5G, contention, Machine to machine communications, PRACH, Propagation delay, Random access
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-213930DOI: 10.1109/ICC.2017.7996622ISI: 000424872103084Scopus ID: 2-s2.0-85028360554ISBN: 9781467389990 OAI: oai:DiVA.org:kth-213930DiVA, id: diva2:1139711
Conference
2017 IEEE International Conference on Communications, ICC 2017, Paris, France, 21 May 2017 through 25 May 2017
Note

QC 20170908

Available from: 2017-09-08 Created: 2017-09-08 Last updated: 2018-03-14Bibliographically approved

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