Optimizing Signal Behavior of Femtocells for Improved Network

The high demand for network coverage in an indoor setting brought about the acceptance of femtocell technology as a solution using the backhaul connectivity in the existing network. The quality of signal, voice calling, Internet, security and data are improved through the use femtocell at the indoor environment. Here the service provider attempts to reduce their operation cost by presenting self-organizing mechanisms for optimization of the network. The remarkable part is that, femtocells improves coverage, enhances the data rate at the indoor environment. Therefore, the challenges of the femtocell also known as interference deteriorates the capacity and quality performance of the whole cellular network. In this paper we simulate the bit error rate against signal behaviour at the indoor environment and we also simulate the transmitting power over signal for both macrocells and femtocells. We focus on the transmitting power that might cause interference within the cellular network.

[1]  Jay Weitzen,et al.  Automated Wireless Coverage Optimization With Controlled Overlap , 2008, IEEE Transactions on Vehicular Technology.

[2]  Taeyoung Lee,et al.  Interference management in LTE femtocell systems using Fractional Frequency Reuse , 2010, 2010 The 12th International Conference on Advanced Communication Technology (ICACT).

[3]  Joan J. Olmos,et al.  UMTS optimum cell load balancing for inhomogeneous traffic patterns , 2004, IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004.

[4]  B. S. L. Castro,et al.  COST231-Hata and SUI Models performance using a LMS tuning algorithm on 5.8GHz in Amazon Region cities , 2010, Proceedings of the Fourth European Conference on Antennas and Propagation.

[5]  Jie Zhang,et al.  Interference avoidance and dynamic frequency planning for WiMAX femtocells networks , 2008, 2008 11th IEEE Singapore International Conference on Communication Systems.

[6]  M. Joseph,et al.  Signal behaviour in an indoor environment: Femtocell over macrocell , 2016, 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC).

[7]  Jeffrey G. Andrews,et al.  Distributed Power Control in Femtocell-Underlay Cellular Networks , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[8]  R. Baines.  The Need for WiMAX picocell & Femtocells , 2007 .

[9]  Jeffrey G. Andrews,et al.  Power control in two-tier femtocell networks , 2008, IEEE Transactions on Wireless Communications.

[10]  Sunghyun Choi,et al.  Optimization of femtocell network configuration under interference constraints , 2009, 2009 7th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks.

[11]  Holger Claussen,et al.  Performance of Macro- and Co-Channel Femtocells in a Hierarchical Cell Structure , 2007, 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications.

[12]  J. Markendahl,et al.  Cost drivers and deployment scenarios for future broadband wireless networks - key research problems and directions for research , 2004, 2004 IEEE 59th Vehicular Technology Conference. VTC 2004-Spring (IEEE Cat. No.04CH37514).

[13]  Akhilesh Pokhariyal,et al.  Interference management and performance analysis of UMTS/HSPA+ femtocells , 2009, IEEE Communications Magazine.

[14]  Kimmo Valkealahti,et al.  WCDMA common pilot power control for load and coverage balancing , 2002, The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[15]  Di Yuan,et al.  Automated optimization of service coverage and base station antenna configuration in UMTS networks , 2006, IEEE Wireless Communications.

[16]  Ying Sun,et al.  CPICH power settings in irregular WCDMA macro cellular networks , 2003, 14th IEEE Proceedings on Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003..