Energy-efficient power allocation for massive M2M communication over LTE-A cellular uplink
Abstract In order to enable massive machine-to-machine (M2M) communication in Long Term Evolution-Advanced (LTE-A) cellular network, a machine-type communication gateway (MTCG) is introduced to solve the issue of control signaling overheads. In this paper, a power allocation algorithm based on the m...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2018-11-01
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| Series: | EURASIP Journal on Wireless Communications and Networking |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13638-018-1273-4 |
| _version_ | 1828759235196878848 |
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| author | Ning Li Yingqing He Cong Wang Yancheng Chen Jianhui Xu |
| author_facet | Ning Li Yingqing He Cong Wang Yancheng Chen Jianhui Xu |
| author_sort | Ning Li |
| collection | DOAJ |
| description | Abstract In order to enable massive machine-to-machine (M2M) communication in Long Term Evolution-Advanced (LTE-A) cellular network, a machine-type communication gateway (MTCG) is introduced to solve the issue of control signaling overheads. In this paper, a power allocation algorithm based on the method of Lagrange multipliers is proposed for massive M2M communication over LTE-A cellular uplink. The proposed algorithm can decrease the signaling overheads by enabling the machine-type communication device (MTCD) to access the base station (BS) via a MTCG that collects the data from a group of M2M devices and forward it to the BS. The core objective of the proposed algorithm is to maximize the total energy efficiency of a group of M2M devices, while satisfying the time delay of the M2M devices, by coordinating the power transmission of the MTCDs and the MTCG. The simulation results demonstrate that the proposed algorithm outperforms the heuristic algorithm and has relatively close performance to the optimal design. |
| first_indexed | 2024-12-11T00:55:09Z |
| format | Article |
| id | doaj.art-4c9c3869ec6b430b8c6b236f53376065 |
| institution | Directory Open Access Journal |
| issn | 1687-1499 |
| language | English |
| last_indexed | 2024-12-11T00:55:09Z |
| publishDate | 2018-11-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Wireless Communications and Networking |
| spelling | doaj.art-4c9c3869ec6b430b8c6b236f533760652022-12-22T01:26:30ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992018-11-012018111110.1186/s13638-018-1273-4Energy-efficient power allocation for massive M2M communication over LTE-A cellular uplinkNing Li0Yingqing He1Cong Wang2Yancheng Chen3Jianhui Xu4Institute of Communication Engineering, Army Engineering University of PLAInstitute of Communication Engineering, Army Engineering University of PLAInstitute of Communication Engineering, Army Engineering University of PLAInstitute of Communication Engineering, Army Engineering University of PLAInstitute of Communication Engineering, Army Engineering University of PLAAbstract In order to enable massive machine-to-machine (M2M) communication in Long Term Evolution-Advanced (LTE-A) cellular network, a machine-type communication gateway (MTCG) is introduced to solve the issue of control signaling overheads. In this paper, a power allocation algorithm based on the method of Lagrange multipliers is proposed for massive M2M communication over LTE-A cellular uplink. The proposed algorithm can decrease the signaling overheads by enabling the machine-type communication device (MTCD) to access the base station (BS) via a MTCG that collects the data from a group of M2M devices and forward it to the BS. The core objective of the proposed algorithm is to maximize the total energy efficiency of a group of M2M devices, while satisfying the time delay of the M2M devices, by coordinating the power transmission of the MTCDs and the MTCG. The simulation results demonstrate that the proposed algorithm outperforms the heuristic algorithm and has relatively close performance to the optimal design.http://link.springer.com/article/10.1186/s13638-018-1273-4Machine-to-machine communicationsPower allocationLong term evolution-advanced cellular networkMachine-type communication gatewayMachine-type communication deviceLagrange multipliers |
| spellingShingle | Ning Li Yingqing He Cong Wang Yancheng Chen Jianhui Xu Energy-efficient power allocation for massive M2M communication over LTE-A cellular uplink EURASIP Journal on Wireless Communications and Networking Machine-to-machine communications Power allocation Long term evolution-advanced cellular network Machine-type communication gateway Machine-type communication device Lagrange multipliers |
| title | Energy-efficient power allocation for massive M2M communication over LTE-A cellular uplink |
| title_full | Energy-efficient power allocation for massive M2M communication over LTE-A cellular uplink |
| title_fullStr | Energy-efficient power allocation for massive M2M communication over LTE-A cellular uplink |
| title_full_unstemmed | Energy-efficient power allocation for massive M2M communication over LTE-A cellular uplink |
| title_short | Energy-efficient power allocation for massive M2M communication over LTE-A cellular uplink |
| title_sort | energy efficient power allocation for massive m2m communication over lte a cellular uplink |
| topic | Machine-to-machine communications Power allocation Long term evolution-advanced cellular network Machine-type communication gateway Machine-type communication device Lagrange multipliers |
| url | http://link.springer.com/article/10.1186/s13638-018-1273-4 |
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