Individually targeted radio network optimization

Sporadic network quality problems in a cellular network become prevalent after the initial rollout phase. Such problems occur in limited area of the service coverage and they are often revealed only by on-site measurement or customer feedback. Therefore, their quantitative analysis is difficult. They must therefore be solved individually under time and cost restrictions. We propose a simulation-based framework for solving these problems efficiently. A prototype system based on this framework was developed that supports fast simulation and three-dimensional visualization of radio quality and coordinated analysis of radio quality data and operational statistics. Using our system, we devised and implemented countermeasures (neighbor cell list optimization and antenna tilt tuning) for sporadic network quality problems in part of a commercial 3G cellular network in Hong Kong. The countermeasures mitigated these problems and improved the related key network indicators by as much as 60%.

[1]  Yasuhiko Matsunaga,et al.  A Radio Network Co-design System for Planning, Operation, and Customer Relations Divisions , 2008, APNOMS.

[2]  M. Ismail,et al.  Development of software planning tools for an intelligent traffic light wireless communication link using 5.8 GHz WLAN , 2005, 2005 Asia-Pacific Conference on Applied Electromagnetics.

[3]  J. Lempiainen,et al.  Mitigation of pilot pollution through base station antenna configuration in WCDMA , 2004, IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004.

[4]  Robert T. Love,et al.  A pilot optimization technique for CDMA cellular systems , 1999, Gateway to 21st Century Communications Village. VTC 1999-Fall. IEEE VTS 50th Vehicular Technology Conference (Cat. No.99CH36324).

[5]  M.M. El-Said,et al.  Sensory system for early detection of pilot pollution interference in UMTS networks , 2003, 10th International Conference on Telecommunications, 2003. ICT 2003..

[6]  Yoshinori Watanabe,et al.  UTRAN O&M support system with statistical fault identification and customizable rule sets , 2008, NOMS 2008 - 2008 IEEE Network Operations and Management Symposium.

[7]  David Soldani,et al.  Self-optimizing Neighbor Cell List for UTRA FDD Networks Using Detected Set Reporting , 2007, 2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring.

[8]  Matti Manninen,et al.  UMTS radio network planning, optimization and QOS management for practical engineering tasks , 2006, IEEE Communications Magazine.