A Joint Optimization of Antenna Parameters in a Cellular Network Using Taguchi's Method

One of the primary aims of radio network planning is to place and configure the transmit antennas of the base stations such that the deployment achieves the required quality of service. Long term evolution (LTE) systems are operated with frequency reuse one and, therefore, a proper configuration of the antenna azimuth orientations and tilts is essential to mitigate the inter-cell interference. Various algorithms have been proposed to adjust these two antenna parameters, but only a few are exploiting the mutual dependencies that exist between them. In this paper, we propose a new algorithm based on Taguchi's method that jointly optimizes the antenna azimuth orientations and tilts. LTE downlink simulations show that the joint optimization of the two antenna parameters outperforms the independent optimization methods. Moreover, the joint optimization reduces the computational complexity by a factor of two.

[1]  Preben E. Mogensen,et al.  LTE Capacity Compared to the Shannon Bound , 2007, 2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring.

[2]  R. Roy A Primer on the Taguchi Method , 1990 .

[3]  Jyri Hämäläinen,et al.  Analysis of Antenna Parameter Optimization Space for 3GPP LTE , 2009, 2009 IEEE 70th Vehicular Technology Conference Fall.

[4]  Jussi Turkka,et al.  Non-regular layout for cellular network system simulations , 2010, 21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[5]  Hongquan Xu,et al.  An Algorithm for Constructing Orthogonal and Nearly-Orthogonal Arrays With Mixed Levels and Small Runs , 2002, Technometrics.

[6]  Lih-Yuan Deng,et al.  Orthogonal Arrays: Theory and Applications , 1999, Technometrics.

[7]  Fan Yang,et al.  Linear Antenna Array Synthesis Using Taguchi's Method: A Novel Optimization Technique in Electromagnetics , 2007, IEEE Transactions on Antennas and Propagation.

[8]  Anja Klein,et al.  Optimizing the Radio Network Parameters of the Long Term Evolution System Using Taguchi's Method , 2011, IEEE Transactions on Vehicular Technology.

[9]  Steve McLaughlin,et al.  IEEE Vehicular Technology Conference , 2000 .