Interference evaluation in wireless communication system

Interference is one of the predominant factors that determine the performance of the wireless communication networks. The recent increasing interest in Quality of Service (QoS) and Quality of Experience (QoE) has motivated the development of interference evaluation capable of capturing the characteristics of the networks. Consequently, a great number of methods to evaluate the interference can be found, which describe the effects of interference on different layers. Among these methods, some focus on the statistical characteristics of the jamming signals depending on physical layer parameters and others are interested in the effects of interference on higher layers. This paper presents a comprehensive survey of interference evaluation techniques for wireless communication systems, emphasizing their features and domains of applications, illustrated with examples. It is noted that no matter which evaluation method is used, the characteristics of the interference and the networks will be obtained, which is of great importance and necessity for designing and optimizing the wireless communication system, both in commercial and military fields.

[1]  David Soldani,et al.  QoS and QoE Management in UMTS Cellular Systems: Soldani/QoS and QoE Management in UMTS Cellular Systems , 2006 .

[2]  S. Harman.  The performance of a novel three-pulse radar waveform for marine radar systems , 2008, 2008 European Radar Conference.

[3]  Li Yang,et al.  Interference Temperature Estimation in OFDM Based on the Directions of Arrival Sources , 2009, 2009 5th International Conference on Wireless Communications, Networking and Mobile Computing.

[4]  Li Chao.  Technology of Jamming Frequency Agility Radar and its ECM Efficiency Measurement , 2004 .

[5]  Fei Yang,et al.  Interference effect evaluation of cognitive radio by using statistical method , 2009, 2009 3rd IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications.

[6]  Roy D. Yates,et al.  Subspace based estimation of the signal to interference ratio for TDMA cellular systems , 1998, Wirel. Networks.

[7]  Ning Zhang,et al.  Interference Temperature Estimation Based on the Detection and Estimation of Angles of Arrival of Multiple Wide-Band Sources in Cognitive Radio Sensor Networks , 2009, 2009 Second International Symposium on Electronic Commerce and Security.

[8]  Yukio Yamanaka,et al.  Measurement and estimation of BER degradation of PHS due to electromagnetic disturbances from microwave ovens , 1998 .

[9]  Gordon L. Stüber,et al.  An efficient algorithm for estimating the signal-to-interference ratio in TDMA cellular systems , 1998, IEEE Trans. Commun..

[10]  Nihar Jindal,et al.  Transmission Capacity of Wireless Ad Hoc Networks: Successive Interference Cancellation vs. Joint Detection , 2009, 2009 IEEE International Conference on Communications.

[11]  Hüseyin Arslan,et al.  MMSE Noise Plus Interference Power Estimation in Adaptive OFDM Systems , 2007, IEEE Transactions on Vehicular Technology.

[12]  F. Gini,et al.  Cross-Channel Interference in Multi-User Radar Systems , 2007, 2007 International Conference on Electromagnetics in Advanced Applications.

[13]  Gordon L. Stüber,et al.  In-service signal quality estimation for TDMA cellular systems , 1995, Wirel. Pers. Commun..

[14]  Wei Li,et al.  Interference temperature estimation based on the Smart Antennas in TD-SCDMA , 2009, 2009 IEEE International Conference on Communications Technology and Applications.

[15]  R. Prasad,et al.  Improved assessment of interference limits in cellular radio performance , 1991 .

[16]  Fu Yong-liang.  A Communication Link Jamming Evaluation Model Based on Time Efficiency , 2008 .

[17]  Lorenzo Galati Giordano,et al.  Interference Evaluation in Multi-Cell Environment with Resource Allocation Algorithms , 2008, VTC Spring 2008 - IEEE Vehicular Technology Conference.

[18]  Jan Christoffersson,et al.  LTE Downlink Inter-Cell Interference Assessment in an Existing GSM Metropolitan Deployment , 2010, 2010 IEEE 72nd Vehicular Technology Conference - Fall.

[19]  M.G. Rego,et al.  Interference evaluation in CDMA Ad Hoc networks , 2006, 2006 International Telecommunications Symposium.

[20]  Renato M. de Moraes,et al.  Modeling Interference in Wireless Ad Hoc Networks , 2007, 2007 15th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems.

[21]  Xue Ye-fei.  Antijamming Performance Analysis of Communication Network with Grey Cluster Theory , 2006 .

[22]  F. Gottifredi,et al.  Evaluation of the Interferences of GNSS (Galileo/GPS) signals on Air Traffic Control Radar and Wind Profiler Radar , 2006, 2006 International Radar Symposium.

[23]  Wan Zi-ming.  The Fuzzy Comprehensive Assessment Models of Air-Defense Missile Weapon System Effectiveness and Performance , 2001 .

[24]  Ángel G. Andrade,et al.  Evaluation of UWB Interference at WiMax Systems Based on a Generalized Pulse Waveform , 2009, 2009 International Conference on Electrical, Communications, and Computers.