TY - GEN
T1 - Energy efficient dynamic cooperating set planning for CoMP in LTE/LTE-A systems
AU - Chen, Jen-Jee
AU - Liang, Jia Ming
AU - Hsu, Po Min
AU - Huang, Yi Chan
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/11/27
Y1 - 2017/11/27
N2 - 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.
AB - 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.
KW - CoMP
KW - Cooperating set
KW - Dynamic cell selection (DCS)
KW - Energy efficiency
KW - Long term evolution-advanced (LTE-A)
KW - Resource management
KW - Soft frequency reuse (SFR)
UR - http://www.scopus.com/inward/record.url?scp=85048268784&partnerID=8YFLogxK
U2 - 10.1109/ISPAN-FCST-ISCC.2017.62
DO - 10.1109/ISPAN-FCST-ISCC.2017.62
M3 - Conference contribution
AN - SCOPUS:85048268784
T3 - 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
SP - 385
EP - 390
BT - 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
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 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
Y2 - 21 June 2017 through 23 June 2017
ER -