Understanding Static Intercell Interference Coordination Mechanisms in LTE

This work identifies the factors which determine the behaviour of static interference avoidance schemes: SINR distribution shift, MCS mapping, and proportional MCS usage. The work goes on to challenge the common assumption that it is "best" to give resources with a high reuse factor to those at the cell-edge, by showing for a fixed rate service class, that it is best to be greedy and give these resources to those at the cell-centre. The work is performed using monte-carlo simulations, only in the downlink direction, on a London scenario with realistic path loss and network data. All work is statistically quantified using appropriate tests.

[1]  Zhang Xiaodong,et al.  An Inter-Cell Interference Coordination Technique Based on Users' Ratio and Multi-Level Frequency Allocations , 2007, 2007 International Conference on Wireless Communications, Networking and Mobile Computing.

[2]  Cyril Leung,et al.  A Survey of Scheduling and Interference Mitigation in LTE , 2010, J. Electr. Comput. Eng..

[3]  Nageen Himayat,et al.  Interference management for 4G cellular standards [WIMAX/LTE UPDATE] , 2010, IEEE Communications Magazine.

[4]  C.-C. Jay Kuo,et al.  Multicell OFDMA Downlink Resource Allocation Using a Graphic Framework , 2009, IEEE Transactions on Vehicular Technology.

[5]  Harish Viswanathan,et al.  Self-Organizing Dynamic Fractional Frequency Reuse for Best-Effort Traffic through Distributed Inter-Cell Coordination , 2009, IEEE INFOCOM 2009.

[6]  András Rácz,et al.  Intercell Interference Coordination in OFDMA Networks and in the 3GPP Long Term Evolution System , 2009, J. Commun..

[7]  B. D. Hall,et al.  Does "Welch-Satterthwaite" make a good uncertainty estimate? , 2001 .

[8]  Weiwei Wu,et al.  Dynamic resource allocation with inter-cell interference coordination for 3GPP LTE , 2008, 2008 Asia-Pacific Microwave Conference.

[9]  Marc C. Necker.  Scheduling Constraints and Interference Graph Properties for Graph-based Interference Coordination in Cellular OFDMA Networks , 2009, Mob. Networks Appl..

[10]  Yikang Xiang,et al.  Inter-cell Interference Mitigation through Flexible Resource Reuse in OFDMA based Communication Networks , 2007 .

[11]  C-ran the Road towards Green Ran , 2022 .

[12]  Marc Necker.  Towards frequency reuse 1 cellular FDM/TDM systems , 2006, MSWiM '06.

[13]  Rui Chang,et al.  Interference coordination and cancellation for 4G networks , 2009, IEEE Communications Magazine.

[14]  Marc C. Necker,et al.  Integrated scheduling and interference coordination in cellular OFDMA networks , 2007, 2007 Fourth International Conference on Broadband Communications, Networks and Systems (BROADNETS '07).

[15]  Jing Xu,et al.  Inter-cell interference coordination based on softer frequency reuse in OFDMA cellular systems , 2008, 2008 International Conference on Neural Networks and Signal Processing.

[16]  Yusheng Ji,et al.  Simulation based performance evaluation of ICI mitigation schemes for broadband wireless access networks , 2008, CNS '08.

[17]  Halim Yanikomeroglu,et al.  Interference Avoidance with Dynamic Inter-Cell Coordination for Downlink LTE System , 2009, 2009 IEEE Wireless Communications and Networking Conference.

[18]  András Rácz,et al.  On the Impact of Inter-Cell Interference in LTE , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.