Main enablers for advanced interference mitigation

Interference mitigation is currently one of the main challenges for cellular mobile radio systems and one promising approach are coordinated multipoint transmission techniques like joint precoding (JP), currently being analyzed within the 3GPP CoMP study item (SI). A previous LTE Release 10 CoMP study item concentrated on low complex intra eNB cooperation resulting in limited performance gains, easily being spoiled in case of realistic channel estimation and feedback assumptions. Within the European Union founded project Artist4G the focus is on main enablers for JP CoMP, providing considerable system level gains simultaneously with effective channel estimation and feedback. The so-called partial CoMP scheme for user centric clustering is introduced, approaching theoretical cooperation gains for practical systems. To overcome channel state information (CSI) outdating and simultaneously minimizing feedback overhead a model based channel prediction concept is proposed. It uses reporting of 3-dimensional UE locations with respect to a building vector data model instead of explicit or implicit channel components.

[1]  Eiko Seidel,et al.  Heterogeneous LTE Networks and Inter-Cell Interference Coordination , 2011 .

[2]  David Gesbert,et al.  A Dynamic Clustering Approach in Wireless Networks with Multi-Cell Cooperative Processing , 2008, 2008 IEEE International Conference on Communications.

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

[4]  Daniel Aronsson,et al.  Channel Estimation and Prediction for MIMO OFDM Systems: Key Design and Performance Aspects of Kalman-based Algorithms , 2011 .

[5]  S. Jaeckel,et al.  Correlation properties of large and small-scale parameters from multicell channel measurements , 2009, 2009 3rd European Conference on Antennas and Propagation.

[6]  Holger Boche,et al.  Iterative multiuser uplink and downlink beamforming under SINR constraints , 2005, IEEE Transactions on Signal Processing.

[7]  L. Thiele,et al.  Capacity Scaling of Multi-User MIMO with Limited Feedback in a Multi-Cell Environment , 2007, 2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers.

[8]  J. Salo,et al.  An interim channel model for beyond-3G systems: extending the 3GPP spatial channel model (SCM) , 2005, 2005 IEEE 61st Vehicular Technology Conference.

[9]  L. Thiele,et al.  MU-MIMO with Localized Downlink Base Station Cooperation and Downtilted Antennas , 2009, 2009 IEEE International Conference on Communications Workshops.

[10]  Tobias Weber,et al.  Low complexity energy efficient joint transmission for OFDM multiuser downlinks , 2004, 2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE Cat. No.04TH8754).

[11]  Robert W. Heath,et al.  Coordinated Beamforming for the Multiuser MIMO Broadcast Channel With Limited Feedforward , 2008, IEEE Transactions on Signal Processing.

[12]  L. Thiele,et al.  Field trials using coordinated multi-point transmission in the downlink , 2010, 2010 IEEE 21st International Symposium on Personal, Indoor and Mobile Radio Communications Workshops.

[13]  Gerhard Fettweis,et al.  Coordinated Multi-Point in Mobile Communications: From Theory to Practice , 2011 .

[14]  Gerhard Fettweis,et al.  Field Trial Results on Different Uplink Coordinated Multi-Point (CoMP) Concepts in Cellular Systems , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[15]  Bin Song,et al.  Achievable throughput approximation for RBD precoding at high SNRS , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

[16]  Tobias Renk,et al.  Communication Theory General expression of outage probability in cooperative networks , 2009, Eur. Trans. Telecommun..

[17]  Wolfgang Zirwas,et al.  Reporting effort for cooperative systems applying interference floor shaping , 2011, 2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications.

[18]  Tommy Svensson,et al.  On the Performance of Joint Processing Schemes over the Cluster Area , 2010, 2010 IEEE 71st Vehicular Technology Conference.

[19]  Shlomo Shamai,et al.  Scaling laws and techniques in decentralised processing of interfered Gaussian channels , 2011, Eur. Trans. Telecommun..

[20]  Reinaldo A. Valenzuela,et al.  Coordinating multiple antenna cellular networks to achieve enormous spectral efficiency , 2006 .

[21]  Wolfgang Zirwas,et al.  Main enablers for advanced interference mitigation , 2011 .