摘要
In this paper,we investigate the coverage optimization for LTE networks considering the network load. The network coverage is defined as the number of served users of evolved Node B(eNB)which is determined by e NBs' antenna tilt angles(ATA). The coverage is optimized by optimizing the number of served users based on the Modified Particle Swarm Optimization(MPSO)algorithm. Simulation results show that both the number of served users by each e NB and the system throughput are significantly increased. As well,the average load and the bandwidth efficiency of the network are improved.
In this paper, we investigate the coverage optimization for LTE networks considering the network load. The network coverage is defined as the number of served users of evolved Node B （eNB） which is determined by eNBs＇ antenna tilt angles （ATA）. The coverage is optimized by optimizing the number of served users based on the Modified Particle Swarm Optimization （MPSO） algorithm. Simulation results show that both the number of served users by each eNB and the system throughput are significantly increased. As well, the average load and the bandwidth efficiency of the network are improved.
基金
supported by National 863 Program(2014AA01A702)
National Major Project(2013ZX03001032-004)
National Natural Science Foundation(61221002 and 61201170)
the Fundamental Research Funds for the Central Universities(CXLX13 093)
作者简介
NhuQuan Phon, received his Master＇s degree in electronic engineering from Ho Chi Minh City University of Technology and Education, Vietnam. He works in the Faculty of Mechatronics-Electronics, Lachong University, Vietnam. He is currently a Ph.D. scholar in nication Engineering at the nformation and Commu National Mobile Commu nications Research Laboratory, Southeast University, Nanjing, China. His research interests LTE networks optimization, Next-Generation wireless communication systems and evolutionary algorithms.
ThiOanh Bui, received the Master＇s degree in electrical engineering from Southeast University, Nanjing, China. She is currently working toward the Ph.D. degree in electrical and communication engineering. Her research interests span wireless positioning techniques, stochastic optimization, and game theory with applications in wireless communication and sensor networks.
Huilin Jiang, received her PhD degree in information and Communication Engineering at the National Mobile Communications Research Laboratory, Southeast University, Nanjing, China, in 2016. She is currentlya lecturer at the institute of electrical engineering, Nanjing Xiaozhuang University, Nanjing, China. Her research interests include eICIC, carrier aggregation, resource allocation, energy efficient design, evolutionary algorithms and Next-Generation wireless communication systems.
Pei Li, received her M. S. degree in Operational Research and Cybernetics from Yanshan University, Hebei, China, in 2012. She is currently pursuing the Ph.D. degree in Information and Communication Engineering at the National Mobile Communications Research Laboratory, Southeast University, Nanjing, China. Her research interests include resource allocation, delay analysis, energy efficient design and Next-Generation ultra-dense wireless communication systems.
Zhiwen Pan, was born in 1970.11. He has been with National Mobile Communications Research Laboratory, Southeast University as associate professor from 2000 and professor after 2004. During 2000 through 2001, he has been involved in the research and standardization of 3G, and from 2002, he has been involved in the investigations on key technologies for IMT-A and 5G. He has published over thirty papers recently, and holds over 50 patents. His research interests include self-organizing networks, wireless networking, and radio transmission technology for wireless communications.
Nan Liu, is a professor at the National Mobile Communications Research Laboratory, Southeast University. Her research interests include information theory, wireless communication theory, Green wireless network, and Next Generation wireless communication systems
