TY - GEN
T1 - Small cells placement scheme in metropolitan area environment
AU - Chen, Yen Wen
AU - Lu, Wang Hsin
N1 - Publisher Copyright:
© 2016 IEICE.
PY - 2016/11/7
Y1 - 2016/11/7
N2 - The low power radio access nodes, also known as small cells, are always applied to compensate the coverage of macro cells so as to increase the network capacity. The radio spectrum condition is greatly affected by the buildings and there will be many communication dead zones in the metropolitan area environment if only macro cells are deployed. Generally, the communication dead zone is always small and in irregular shape, therefore, the deployment of small cells is one of the most convincible ways to deal with it. However, the interference, necessary overlapping for handoff, coverage improvement, and cost are correlated to one another. And it is hard to determine the number and locations of small cells to be deployed. In this paper, we propose the Particle Swarm Optimization (PSO) based small cell placement algorithm to effectively deploy the small cells in the communication dead zone of metropolitan area. The fitness value in the PSO process of the proposed scheme is tuned by the adaption function to compromise the coverage maximization and necessary overlapping of small cells. A practical area of Taipei City was adopted as an experimental example to investigate the performance of the proposed scheme. The experimental results illustrate that the proposed scheme places small cells in proper locations so that the coverage can be effectively improved.
AB - The low power radio access nodes, also known as small cells, are always applied to compensate the coverage of macro cells so as to increase the network capacity. The radio spectrum condition is greatly affected by the buildings and there will be many communication dead zones in the metropolitan area environment if only macro cells are deployed. Generally, the communication dead zone is always small and in irregular shape, therefore, the deployment of small cells is one of the most convincible ways to deal with it. However, the interference, necessary overlapping for handoff, coverage improvement, and cost are correlated to one another. And it is hard to determine the number and locations of small cells to be deployed. In this paper, we propose the Particle Swarm Optimization (PSO) based small cell placement algorithm to effectively deploy the small cells in the communication dead zone of metropolitan area. The fitness value in the PSO process of the proposed scheme is tuned by the adaption function to compromise the coverage maximization and necessary overlapping of small cells. A practical area of Taipei City was adopted as an experimental example to investigate the performance of the proposed scheme. The experimental results illustrate that the proposed scheme places small cells in proper locations so that the coverage can be effectively improved.
KW - LTE
KW - Particle Swarm Optimization
KW - Small cell deployment
KW - Transmission coverage
UR - http://www.scopus.com/inward/record.url?scp=85006372225&partnerID=8YFLogxK
U2 - 10.1109/APNOMS.2016.7737193
DO - 10.1109/APNOMS.2016.7737193
M3 - 會議論文篇章
AN - SCOPUS:85006372225
T3 - 18th Asia-Pacific Network Operations and Management Symposium, APNOMS 2016: Management of Softwarized Infrastructure - Proceedings
BT - 18th Asia-Pacific Network Operations and Management Symposium, APNOMS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th Asia-Pacific Network Operations and Management Symposium, APNOMS 2016
Y2 - 5 October 2016 through 7 October 2016
ER -