Energy efficient dynamic cooperating set planning for CoMP in LTE/LTE-A systems

Jen-Jee Chen*, Jia Ming Liang, Po Min Hsu, Yi Chan Huang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Coordinated Multi-Point (CoMP) is considered as one of the most important techniques in 3GPP LTE/LTE-A. In CoMP, several base stations can be grouped together to form the cooperating set, where the cooperating set is used to improve the system throughput as well as the throughput of cell edge users. Most of the studies discussed how to relieve the overload condition or maximize the system throughput by exploiting CoMP. In these studies, static cooperating set is adopted, i.e., the size of the cooperating set is fixed. Different from previous studies, this paper provides a complete discussion by considering both off-peak hours and overload conditions. In off-peak hours, we try to save the transmit power of base stations and utilize the idle radio resource to achieve energy-efficient green communications while guarantee users' service quality. On the contrary, when big activities occur with gathered crowds or during the peak hours, we propose to dynamically form the cooperating set according to the actual traffic demand condition and adapt the transmit power of base stations, so that the system can effectively offload the traffic demand to the member cells with free radio resource in the cooperating set. Our proposed approach is a decentralized-based method, which avoids excess computing being executed in a base station. Simulation results show that our proposed method achieves the best system throughput, radio resource utilization, and energy efficiency in all schemes.

Original languageEnglish
Title of host publicationProceedings - 14th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2017, 11th International Conference on Frontier of Computer Science and Technology, FCST 2017 and 3rd International Symposium of Creative Computing, ISCC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages385-390
Number of pages6
ISBN (Electronic)9781538608401
DOIs
StatePublished - 27 Nov 2017
Event14th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2017, 11th International Conference on Frontier of Computer Science and Technology, FCST 2017 and 3rd International Symposium of Creative Computing, ISCC 2017 - Exeter, Devon, United Kingdom
Duration: 21 Jun 201723 Jun 2017

Publication series

NameProceedings - 14th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2017, 11th International Conference on Frontier of Computer Science and Technology, FCST 2017 and 3rd International Symposium of Creative Computing, ISCC 2017
Volume2017-November

Conference

Conference14th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2017, 11th International Conference on Frontier of Computer Science and Technology, FCST 2017 and 3rd International Symposium of Creative Computing, ISCC 2017
CountryUnited Kingdom
CityExeter, Devon
Period21/06/1723/06/17

Keywords

  • CoMP
  • Cooperating set
  • Dynamic cell selection (DCS)
  • Energy efficiency
  • Long term evolution-advanced (LTE-A)
  • Resource management
  • Soft frequency reuse (SFR)

Fingerprint Dive into the research topics of 'Energy efficient dynamic cooperating set planning for CoMP in LTE/LTE-A systems'. Together they form a unique fingerprint.

  • Cite this

    Chen, J-J., Liang, J. M., Hsu, P. M., & Huang, Y. C. (2017). Energy efficient dynamic cooperating set planning for CoMP in LTE/LTE-A systems. In Proceedings - 14th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2017, 11th International Conference on Frontier of Computer Science and Technology, FCST 2017 and 3rd International Symposium of Creative Computing, ISCC 2017 (pp. 385-390). (Proceedings - 14th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2017, 11th International Conference on Frontier of Computer Science and Technology, FCST 2017 and 3rd International Symposium of Creative Computing, ISCC 2017; Vol. 2017-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISPAN-FCST-ISCC.2017.62