2015 International Conference on Identification, Information, and Knowledge in the Internet of Things (IIKI) 2015
DOI: 10.1109/iiki.2015.38
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Dynamic Allocation of RACH Resource for Clustered M2M Communications in LTE Networks

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Cited by 19 publications
(6 citation statements)
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“…Works in [18], [19], [15] aim to optimize different parameters in the uplink communication. In [18] devices are grouped together based on their buffer size to allow for more efficient scheduling in the uplink.…”
Section: Related Work a Grouping In 4g/5gmentioning
confidence: 99%
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“…Works in [18], [19], [15] aim to optimize different parameters in the uplink communication. In [18] devices are grouped together based on their buffer size to allow for more efficient scheduling in the uplink.…”
Section: Related Work a Grouping In 4g/5gmentioning
confidence: 99%
“…In [18] devices are grouped together based on their buffer size to allow for more efficient scheduling in the uplink. In the ACB and ECB [16], [17] schemes of 3GPP as well as [19] the goal is to minimize the RACH collisions and the devices are split into two groups based on the delay tolerance. Finally, in [15] devices are placed into groups based on their QoS requirements.…”
Section: Related Work a Grouping In 4g/5gmentioning
confidence: 99%
“…In LTE systems, an M2M UE transmits a preamble on the physical random access channel (PRACH) in the first step of RA procedure to inform the evolved nodeB (eNB) of its connection request [12]. In [13], the authors propose a dynamic PRACH resource allocation for clustered M2M UE. The available preambles are dynamically partitioned for each cluster, and the UE belonging to different clusters adopts the ACB mechanism to alleviate the overload.…”
Section: Introductionmentioning
confidence: 99%
“…However, the maximum number of random access opportunities (i.e., the product of preambles number and the PRACH subframes number) is fixed, and it may not be the optimal number when the number of active M2M UE pieces exceeds the maximum number of random access opportunities, which results in the inefficient using of radio resource. In [13][14][15][16][17], the emphasis on the amount of resources for PRACH may not be sufficient since the uplink available resources are limited. The more the PRACH resources allocated to improve the performance of RA procedure, the less the radio resources available for uplink data transmission.…”
Section: Introductionmentioning
confidence: 99%
“…However, these splits are typically static irrespective of the changing network conditions and can limit the access opportunities for MTC device by misallocating the available resources, thus reducing the performance of the system under load. A few existing dynamic schemes [28], [29] reactively allocate additional RA preambles to the MTC devices based on the observed congestion. In contrast, ASPIS features a proactive preamble splitting technique which can predict congestion before it occurs and optimally allocate the preambles between the two groups of devices.…”
Section: Related Workmentioning
confidence: 99%