A Multi-Service Adaptive Semi-Persistent LTE Uplink Scheduler for Low Power M2M Devices
The prominence of Machine-to-Machine (M2M) communications in the future wide area communication networks place various challenges to the cellular technologies such as the Long Term Evolution (LTE) standard, owing to the large number of M2M devices generating small bursts of infrequent data packets w...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-03-01
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| Series: | Future Internet |
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| Online Access: | https://www.mdpi.com/1999-5903/14/4/107 |
| _version_ | 1797504778487463936 |
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| author | Nusrat Afrin Jason Brown Jamil Y. Khan |
| author_facet | Nusrat Afrin Jason Brown Jamil Y. Khan |
| author_sort | Nusrat Afrin |
| collection | DOAJ |
| description | The prominence of Machine-to-Machine (M2M) communications in the future wide area communication networks place various challenges to the cellular technologies such as the Long Term Evolution (LTE) standard, owing to the large number of M2M devices generating small bursts of infrequent data packets with a wide range of delay requirements. The channel structure and Quality of Service (QoS) framework of LTE networks fail to support M2M traffic with multiple burst sizes and QoS requirements while a bottleneck often arises from the limited control resources to communicate future uplink resource allocations to the M2M devices. Moreover, many of the M2M devices are battery-powered and require a low-power consuming wide area technology for wide-spread deployments. To alleviate these issues, in this article we propose an adaptive semi-persistent scheduling (SPS) scheme for the LTE uplink which caters for multi-service M2M traffic classes with variable burst sizes and delay tolerances. Instead of adhering to the rigid LTE QoS framework, the proposed algorithm supports variation of uplink allocation sizes based on queued data length yet does not require control signaling to inform those allocations to the respective devices. Both the eNodeB and the M2M devices can determine the precise uplink resource allocation related parameters based on their mutual knowledge, thus omitting the burden of regular control signaling exchanges. Based on a control parameter, the algorithm can offer different capacities and levels of QoS satisfaction to different traffic classes. We also introduce a pre-emptive feature by which the algorithm can prioritize new traffic with low delay tolerance over ongoing delay-tolerant traffic. We also build a model for incorporating the Discontinuous Reception (DRX) mechanism in synchronization with the adaptive SPS transmissions so that the UE power consumption can be significantly lowered, thereby extending their battery lives. The simulation and performance analysis of the proposed scheme shows significant improvement over the traditional LTE scheduler in terms of QoS satisfaction, channel utilization and low power requirements of multi-service M2M traffic. |
| first_indexed | 2024-03-10T04:09:12Z |
| format | Article |
| id | doaj.art-6f20c458447e4923b1d69b74986ae10b |
| institution | Directory Open Access Journal |
| issn | 1999-5903 |
| language | English |
| last_indexed | 2024-03-10T04:09:12Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj.art-6f20c458447e4923b1d69b74986ae10b2023-11-23T08:15:53ZengMDPI AGFuture Internet1999-59032022-03-0114410710.3390/fi14040107A Multi-Service Adaptive Semi-Persistent LTE Uplink Scheduler for Low Power M2M DevicesNusrat Afrin0Jason Brown1Jamil Y. Khan2School of Engineering, University of Newcastle, Callaghan, NSW 2308, AustraliaSchool of Mechanical and Electrical Engineering, University of Southern Queensland, Springfield, QLD 4300, AustraliaSchool of Engineering, University of Newcastle, Callaghan, NSW 2308, AustraliaThe prominence of Machine-to-Machine (M2M) communications in the future wide area communication networks place various challenges to the cellular technologies such as the Long Term Evolution (LTE) standard, owing to the large number of M2M devices generating small bursts of infrequent data packets with a wide range of delay requirements. The channel structure and Quality of Service (QoS) framework of LTE networks fail to support M2M traffic with multiple burst sizes and QoS requirements while a bottleneck often arises from the limited control resources to communicate future uplink resource allocations to the M2M devices. Moreover, many of the M2M devices are battery-powered and require a low-power consuming wide area technology for wide-spread deployments. To alleviate these issues, in this article we propose an adaptive semi-persistent scheduling (SPS) scheme for the LTE uplink which caters for multi-service M2M traffic classes with variable burst sizes and delay tolerances. Instead of adhering to the rigid LTE QoS framework, the proposed algorithm supports variation of uplink allocation sizes based on queued data length yet does not require control signaling to inform those allocations to the respective devices. Both the eNodeB and the M2M devices can determine the precise uplink resource allocation related parameters based on their mutual knowledge, thus omitting the burden of regular control signaling exchanges. Based on a control parameter, the algorithm can offer different capacities and levels of QoS satisfaction to different traffic classes. We also introduce a pre-emptive feature by which the algorithm can prioritize new traffic with low delay tolerance over ongoing delay-tolerant traffic. We also build a model for incorporating the Discontinuous Reception (DRX) mechanism in synchronization with the adaptive SPS transmissions so that the UE power consumption can be significantly lowered, thereby extending their battery lives. The simulation and performance analysis of the proposed scheme shows significant improvement over the traditional LTE scheduler in terms of QoS satisfaction, channel utilization and low power requirements of multi-service M2M traffic.https://www.mdpi.com/1999-5903/14/4/107LTEMachine-to-MachineInternet of Thingspacket schedulingchannel utilizationDRX |
| spellingShingle | Nusrat Afrin Jason Brown Jamil Y. Khan A Multi-Service Adaptive Semi-Persistent LTE Uplink Scheduler for Low Power M2M Devices Future Internet LTE Machine-to-Machine Internet of Things packet scheduling channel utilization DRX |
| title | A Multi-Service Adaptive Semi-Persistent LTE Uplink Scheduler for Low Power M2M Devices |
| title_full | A Multi-Service Adaptive Semi-Persistent LTE Uplink Scheduler for Low Power M2M Devices |
| title_fullStr | A Multi-Service Adaptive Semi-Persistent LTE Uplink Scheduler for Low Power M2M Devices |
| title_full_unstemmed | A Multi-Service Adaptive Semi-Persistent LTE Uplink Scheduler for Low Power M2M Devices |
| title_short | A Multi-Service Adaptive Semi-Persistent LTE Uplink Scheduler for Low Power M2M Devices |
| title_sort | multi service adaptive semi persistent lte uplink scheduler for low power m2m devices |
| topic | LTE Machine-to-Machine Internet of Things packet scheduling channel utilization DRX |
| url | https://www.mdpi.com/1999-5903/14/4/107 |
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