Optimal Resource Allocation for LTE Uplink Scheduling in Smart Grid Communications

Jian Li; Yifeng He; Yun Tie; Ling Guan

doi:doi:10.11648/j.wcmc.20130104.15

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Optimal Resource Allocation for LTE Uplink Scheduling in Smart Grid Communications

Jian Li, Yifeng He, Yun Tie, Ling Guan

Published in International Journal of Wireless Communications and Mobile Computing (Volume 1, Issue 4)

Received: 20 August 2013 Published: 10 November 2013

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Abstract

The success of the smart grid majorly depends on the advanced communication architectures. An advanced smart grid network should satisfy the future demands of the electric systems in terms of reliability and latency. The latest 4th-generation (4G) wireless technology, the 3rd Generation Partnership Project (3GPP) Long Term Evolution (LTE), is a promising choice for smart grid wide area networks (WAN), due to its higher data rates, lower latency and larger coverage. However, LTE is not a dedicated technology invented for smart grid, and it does not provide Quality of Service (QoS) guarantee to the smart grid applications. In this paper, we propose an optimal LTE uplink scheduling scheme to provide scheduling timeguarantee at the LTE base station for different class of traffic, with a minimal number of total resource blocks. A lightweight heuristic algorithm is proposed to obtain the optimal allocation of resource blocks for each class of traffic. In the simulation, we compare the proposed optimal scheduling scheme and two existing scheduling schemes, the Large-Metric-First scheduling scheme and the Guaranteed Bit Rate (GBR) /Non-GBR scheduling scheme. The comparison results demonstrate that the proposed optimal scheduling can use less resource blocks to satisfy the scheduling time requirements than the other two existing scheduling schemes.

Published in	International Journal of Wireless Communications and Mobile Computing (Volume 1, Issue 4)
DOI	10.11648/j.wcmc.20130104.15
Page(s)	113-118
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2013. Published by Science Publishing Group

Keywords

LTE, Uplink, Scheduling, Smart Grid Communications, Quality of Service

References

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[2]	Y. Kim and M. Thottan, "SGTP: Smart Grid Transport Protocol for secure delivery periodic real time data," Bell Labs Technical Journal, vol. 16, no. 3, pp. 83-99, December 2011.
[3]	O. C. Onar, M. Starke, G. P. Andrews and R. Jackson, "Modeling, controls, and applications of community energy storage systems with used EV/PHEV batteries," in proc. of IEEE Transportation Electrification Conference and Expo (ITEC), Dearborn, June 2012.
[4]	B. P. Roberts and C. Sandberg, "The role of energy storage in development of smart grids," in Proceedings of the IEEE, vol. 99, no. 6, pp. 1139-1144, June 2011.
[5]	P. Cheng, L. Wang, B. Zhen and S. Wang, "Feasibility study of applying LTE to smart grid," in proc. ofSmart Grid Modeling and Simulation (SGMS), 2011 IEEE First International Workshop, Brussels, Oct 2011.
[6]	S. Abeta, "Toward LTE commercial launch and future plan for LTE Enhancements (LTE-Advanced)," in proc. of Communication Systems (ICCS), 2010 IEEE International Conference, Singapore, Nov 2010.
[7]	A. Ghosh and R. Ratasuk, Essentials of LTE and LTE-A, Cambridge University Press, 2011.
[8]	Y. Xu and C. Fischione, "Real-time scheduling in LTE for smart grids," in proc.of IEEE Communications Control and Signal Processing (ISCCSP), 2012 5th International Symposium, Rome, May 2012.
[9]	S. N. K. Marwat, T. Weerawardane, Y. Zaki, C. Goerg and A. Timm-Giel, "Performance evaluation of bandwidth and QoS aware LTE uplink scheduler," in 10th International Conference, WWIC 2012, Santorini, Greece, June 6-8, 2012. Proceedings, June 2012.
[10]	O. Delgado and B. Jaumard, "Scheduling and resource allocation in LTE uplink with a delay requirement," in proc. or IEEECommunication Networks and Services Research Conference (CNSR), 2010 Eighth Annual, Montreal, May 2010.
[11]	D. Gross and C. M. Harris, Fundamentals of queuing theory, New York: Wiley, 1998.
[12]	M. M. Tantawy, A. S. T. Eldien and R. M. Zaki, "A novel cross-layer scheduling algorithm for Long Term-Evolution (LTE) wireless system," Canadian Journal on Multimedia and Wireless Networks, vol. 2, no. 4, pp. 57-62, December 2011.
[13]	"ETSI TR 136 942; LTE; evolved universal terrestrial radio access(E-UTRA); radio frequency (RF) system scenarios (3GPP TR 36.942 version 9.3.0 Release 9)," 3GPP, 2012
[14]	.H. Safa and K. Tohme, "LTE uplink scheduling algorithms: Performance and Challenges," in proc. of IEEETelecommunications (ICT), 2012 19th International Conference, Jounieh, April 2012.
[15]	M. Alasti, B. Neekzad, J. Hui and R. Vannithamby, "Quality of service in WiMAX and LTE networks [Topics in Wireless Communications]," Communications Magazine, IEEE, vol. 48, no. 5, pp. 104-111, May 2010.

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APA Style

Jian Li, Yifeng He, Yun Tie, Ling Guan. (2013). Optimal Resource Allocation for LTE Uplink Scheduling in Smart Grid Communications. International Journal of Wireless Communications and Mobile Computing, 1(4), 113-118. https://doi.org/10.11648/j.wcmc.20130104.15

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ACS Style

Jian Li; Yifeng He; Yun Tie; Ling Guan. Optimal Resource Allocation for LTE Uplink Scheduling in Smart Grid Communications. Int. J. Wirel. Commun. Mobile Comput. 2013, 1(4), 113-118. doi: 10.11648/j.wcmc.20130104.15

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AMA Style

Jian Li, Yifeng He, Yun Tie, Ling Guan. Optimal Resource Allocation for LTE Uplink Scheduling in Smart Grid Communications. Int J Wirel Commun Mobile Comput. 2013;1(4):113-118. doi: 10.11648/j.wcmc.20130104.15

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@article{10.11648/j.wcmc.20130104.15,
  author = {Jian Li and Yifeng He and Yun Tie and Ling Guan},
  title = {Optimal Resource Allocation for LTE Uplink Scheduling in Smart Grid Communications},
  journal = {International Journal of Wireless Communications and Mobile Computing},
  volume = {1},
  number = {4},
  pages = {113-118},
  doi = {10.11648/j.wcmc.20130104.15},
  url = {https://doi.org/10.11648/j.wcmc.20130104.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wcmc.20130104.15},
  abstract = {The success of the smart grid majorly depends on the advanced communication architectures. An advanced smart grid network should satisfy the future demands of the electric systems in terms of reliability and latency. The latest 4th-generation (4G) wireless technology, the 3rd Generation Partnership Project (3GPP) Long Term Evolution (LTE), is a promising choice for smart grid wide area networks (WAN), due to its higher data rates, lower latency and larger coverage. However, LTE is not a dedicated technology invented for smart grid, and it does not provide Quality of Service (QoS) guarantee to the smart grid applications. In this paper, we propose an optimal LTE uplink scheduling scheme to provide scheduling timeguarantee at the LTE base station for different class of traffic, with a minimal number of total resource blocks. A lightweight heuristic algorithm is proposed to obtain the optimal allocation of resource blocks for each class of traffic. In the simulation, we compare the proposed optimal scheduling scheme and two existing scheduling schemes, the Large-Metric-First scheduling scheme and the Guaranteed Bit Rate (GBR) /Non-GBR scheduling scheme. The comparison results demonstrate that the proposed optimal scheduling can use less resource blocks to satisfy the scheduling time requirements than the other two existing scheduling schemes.},
 year = {2013}
}

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TY  - JOUR
T1  - Optimal Resource Allocation for LTE Uplink Scheduling in Smart Grid Communications
AU  - Jian Li
AU  - Yifeng He
AU  - Yun Tie
AU  - Ling Guan
Y1  - 2013/11/10
PY  - 2013
N1  - https://doi.org/10.11648/j.wcmc.20130104.15
DO  - 10.11648/j.wcmc.20130104.15
T2  - International Journal of Wireless Communications and Mobile Computing
JF  - International Journal of Wireless Communications and Mobile Computing
JO  - International Journal of Wireless Communications and Mobile Computing
SP  - 113
EP  - 118
PB  - Science Publishing Group
SN  - 2330-1015
UR  - https://doi.org/10.11648/j.wcmc.20130104.15
AB  - The success of the smart grid majorly depends on the advanced communication architectures. An advanced smart grid network should satisfy the future demands of the electric systems in terms of reliability and latency. The latest 4th-generation (4G) wireless technology, the 3rd Generation Partnership Project (3GPP) Long Term Evolution (LTE), is a promising choice for smart grid wide area networks (WAN), due to its higher data rates, lower latency and larger coverage. However, LTE is not a dedicated technology invented for smart grid, and it does not provide Quality of Service (QoS) guarantee to the smart grid applications. In this paper, we propose an optimal LTE uplink scheduling scheme to provide scheduling timeguarantee at the LTE base station for different class of traffic, with a minimal number of total resource blocks. A lightweight heuristic algorithm is proposed to obtain the optimal allocation of resource blocks for each class of traffic. In the simulation, we compare the proposed optimal scheduling scheme and two existing scheduling schemes, the Large-Metric-First scheduling scheme and the Guaranteed Bit Rate (GBR) /Non-GBR scheduling scheme. The comparison results demonstrate that the proposed optimal scheduling can use less resource blocks to satisfy the scheduling time requirements than the other two existing scheduling schemes.
VL  - 1
IS  - 4
ER  -

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Author Information

Jian Li

Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada
Yifeng He

Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada
Yun Tie

Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada
Ling Guan

Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada

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Plain Text BibTeX RIS

APA Style

Jian Li, Yifeng He, Yun Tie, Ling Guan. (2013). Optimal Resource Allocation for LTE Uplink Scheduling in Smart Grid Communications. International Journal of Wireless Communications and Mobile Computing, 1(4), 113-118. https://doi.org/10.11648/j.wcmc.20130104.15

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ACS Style

Jian Li; Yifeng He; Yun Tie; Ling Guan. Optimal Resource Allocation for LTE Uplink Scheduling in Smart Grid Communications. Int. J. Wirel. Commun. Mobile Comput. 2013, 1(4), 113-118. doi: 10.11648/j.wcmc.20130104.15

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AMA Style

Jian Li, Yifeng He, Yun Tie, Ling Guan. Optimal Resource Allocation for LTE Uplink Scheduling in Smart Grid Communications. Int J Wirel Commun Mobile Comput. 2013;1(4):113-118. doi: 10.11648/j.wcmc.20130104.15

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@article{10.11648/j.wcmc.20130104.15,
  author = {Jian Li and Yifeng He and Yun Tie and Ling Guan},
  title = {Optimal Resource Allocation for LTE Uplink Scheduling in Smart Grid Communications},
  journal = {International Journal of Wireless Communications and Mobile Computing},
  volume = {1},
  number = {4},
  pages = {113-118},
  doi = {10.11648/j.wcmc.20130104.15},
  url = {https://doi.org/10.11648/j.wcmc.20130104.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wcmc.20130104.15},
  abstract = {The success of the smart grid majorly depends on the advanced communication architectures. An advanced smart grid network should satisfy the future demands of the electric systems in terms of reliability and latency. The latest 4th-generation (4G) wireless technology, the 3rd Generation Partnership Project (3GPP) Long Term Evolution (LTE), is a promising choice for smart grid wide area networks (WAN), due to its higher data rates, lower latency and larger coverage. However, LTE is not a dedicated technology invented for smart grid, and it does not provide Quality of Service (QoS) guarantee to the smart grid applications. In this paper, we propose an optimal LTE uplink scheduling scheme to provide scheduling timeguarantee at the LTE base station for different class of traffic, with a minimal number of total resource blocks. A lightweight heuristic algorithm is proposed to obtain the optimal allocation of resource blocks for each class of traffic. In the simulation, we compare the proposed optimal scheduling scheme and two existing scheduling schemes, the Large-Metric-First scheduling scheme and the Guaranteed Bit Rate (GBR) /Non-GBR scheduling scheme. The comparison results demonstrate that the proposed optimal scheduling can use less resource blocks to satisfy the scheduling time requirements than the other two existing scheduling schemes.},
 year = {2013}
}

Copy | Download

TY  - JOUR
T1  - Optimal Resource Allocation for LTE Uplink Scheduling in Smart Grid Communications
AU  - Jian Li
AU  - Yifeng He
AU  - Yun Tie
AU  - Ling Guan
Y1  - 2013/11/10
PY  - 2013
N1  - https://doi.org/10.11648/j.wcmc.20130104.15
DO  - 10.11648/j.wcmc.20130104.15
T2  - International Journal of Wireless Communications and Mobile Computing
JF  - International Journal of Wireless Communications and Mobile Computing
JO  - International Journal of Wireless Communications and Mobile Computing
SP  - 113
EP  - 118
PB  - Science Publishing Group
SN  - 2330-1015
UR  - https://doi.org/10.11648/j.wcmc.20130104.15
AB  - The success of the smart grid majorly depends on the advanced communication architectures. An advanced smart grid network should satisfy the future demands of the electric systems in terms of reliability and latency. The latest 4th-generation (4G) wireless technology, the 3rd Generation Partnership Project (3GPP) Long Term Evolution (LTE), is a promising choice for smart grid wide area networks (WAN), due to its higher data rates, lower latency and larger coverage. However, LTE is not a dedicated technology invented for smart grid, and it does not provide Quality of Service (QoS) guarantee to the smart grid applications. In this paper, we propose an optimal LTE uplink scheduling scheme to provide scheduling timeguarantee at the LTE base station for different class of traffic, with a minimal number of total resource blocks. A lightweight heuristic algorithm is proposed to obtain the optimal allocation of resource blocks for each class of traffic. In the simulation, we compare the proposed optimal scheduling scheme and two existing scheduling schemes, the Large-Metric-First scheduling scheme and the Guaranteed Bit Rate (GBR) /Non-GBR scheduling scheme. The comparison results demonstrate that the proposed optimal scheduling can use less resource blocks to satisfy the scheduling time requirements than the other two existing scheduling schemes.
VL  - 1
IS  - 4
ER  -

Copy | Download