Exploiting the Capture Effect to Enhance RACH Performance in Cellular-Based M2M Communications
Cellular-based machine-to-machine (M2M) communication is expected to facilitate services for the Internet of Things (IoT). However, because cellular networks are designed for human users, they have some limitations. Random access channel (RACH) congestion caused by massive access from M2M devices is...
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-09-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/17/10/2169 |
| _version_ | 1798040223152603136 |
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| author | Jonghun Kim Jaiyong Lee |
| author_facet | Jonghun Kim Jaiyong Lee |
| author_sort | Jonghun Kim |
| collection | DOAJ |
| description | Cellular-based machine-to-machine (M2M) communication is expected to facilitate services for the Internet of Things (IoT). However, because cellular networks are designed for human users, they have some limitations. Random access channel (RACH) congestion caused by massive access from M2M devices is one of the biggest factors hindering cellular-based M2M services because the RACH congestion causes random access (RA) throughput degradation and connection failures to the devices. In this paper, we show the possibility exploiting the capture effects, which have been known to have a positive impact on the wireless network system, on RA procedure for improving the RA performance of M2M devices. For this purpose, we analyze an RA procedure using a capture model. Through this analysis, we examine the effects of capture on RA performance and propose an Msg3 power-ramping (Msg3 PR) scheme to increase the capture probability (thereby increasing the RA success probability) even when severe RACH congestion problem occurs. The proposed analysis models are validated using simulations. The results show that the proposed scheme, with proper parameters, further improves the RA throughput and reduces the connection failure probability, by slightly increasing the energy consumption. Finally, we demonstrate the effects of coexistence with other RA-related schemes through simulation results. |
| first_indexed | 2024-04-11T22:04:29Z |
| format | Article |
| id | doaj.art-bcf2c1a315ed47d1bc0ea2b77a5c3da2 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T22:04:29Z |
| publishDate | 2017-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-bcf2c1a315ed47d1bc0ea2b77a5c3da22022-12-22T04:00:46ZengMDPI AGSensors1424-82202017-09-011710216910.3390/s17102169s17102169Exploiting the Capture Effect to Enhance RACH Performance in Cellular-Based M2M CommunicationsJonghun Kim0Jaiyong Lee1Ubiquitous Network Laboratory, School of Electrical and Electronic Engineering, Yonsei university, 50 Yonsei-ro, Seodaemun-Gu, Seoul 03722, KoreaUbiquitous Network Laboratory, School of Electrical and Electronic Engineering, Yonsei university, 50 Yonsei-ro, Seodaemun-Gu, Seoul 03722, KoreaCellular-based machine-to-machine (M2M) communication is expected to facilitate services for the Internet of Things (IoT). However, because cellular networks are designed for human users, they have some limitations. Random access channel (RACH) congestion caused by massive access from M2M devices is one of the biggest factors hindering cellular-based M2M services because the RACH congestion causes random access (RA) throughput degradation and connection failures to the devices. In this paper, we show the possibility exploiting the capture effects, which have been known to have a positive impact on the wireless network system, on RA procedure for improving the RA performance of M2M devices. For this purpose, we analyze an RA procedure using a capture model. Through this analysis, we examine the effects of capture on RA performance and propose an Msg3 power-ramping (Msg3 PR) scheme to increase the capture probability (thereby increasing the RA success probability) even when severe RACH congestion problem occurs. The proposed analysis models are validated using simulations. The results show that the proposed scheme, with proper parameters, further improves the RA throughput and reduces the connection failure probability, by slightly increasing the energy consumption. Finally, we demonstrate the effects of coexistence with other RA-related schemes through simulation results.https://www.mdpi.com/1424-8220/17/10/2169M2M communicationsmachine-type communications (MTC)Internet of Things (IoT)cellular networkrandom access channel (RACH)congestion |
| spellingShingle | Jonghun Kim Jaiyong Lee Exploiting the Capture Effect to Enhance RACH Performance in Cellular-Based M2M Communications Sensors M2M communications machine-type communications (MTC) Internet of Things (IoT) cellular network random access channel (RACH) congestion |
| title | Exploiting the Capture Effect to Enhance RACH Performance in Cellular-Based M2M Communications |
| title_full | Exploiting the Capture Effect to Enhance RACH Performance in Cellular-Based M2M Communications |
| title_fullStr | Exploiting the Capture Effect to Enhance RACH Performance in Cellular-Based M2M Communications |
| title_full_unstemmed | Exploiting the Capture Effect to Enhance RACH Performance in Cellular-Based M2M Communications |
| title_short | Exploiting the Capture Effect to Enhance RACH Performance in Cellular-Based M2M Communications |
| title_sort | exploiting the capture effect to enhance rach performance in cellular based m2m communications |
| topic | M2M communications machine-type communications (MTC) Internet of Things (IoT) cellular network random access channel (RACH) congestion |
| url | https://www.mdpi.com/1424-8220/17/10/2169 |
| work_keys_str_mv | AT jonghunkim exploitingthecaptureeffecttoenhancerachperformanceincellularbasedm2mcommunications AT jaiyonglee exploitingthecaptureeffecttoenhancerachperformanceincellularbasedm2mcommunications |