Interference alignment in frequency — A measurement based performance analysis

The idea of interference alignment (IA) has shown great promise in many theoretical studies. Yet it is not clear under what operating conditions it will perform better than traditional multiple access schemes under realistic network conditions. Here, we use measured channels to evaluate a number of different IA schemes and related methods, focusing on wideband single-antenna transmission, using frequency extensions for the IA. The radio channels were measured jointly from three base station sites in an urban macrocell scenario, over a 20 MHz bandwidth, allowing to emulate a scenario with 3 interfering cells (i.e. 3 interfering transmit/receive pairs). The numerical results show clear gains using IA related methods, compared to frequency planning with frequency reuse 3 and to uncoordinated transmission, even at low to moderate SNR.

[1]  Zhi-Quan Luo,et al.  An iteratively weighted MMSE approach to distributed sum-utility maximization for a MIMO interfering broadcast channel , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[2]  Kyoung-Jae Lee,et al.  Linear precoder designs for K-user interference channels , 2010, IEEE Transactions on Wireless Communications.

[3]  David Tse,et al.  Downlink Interference Alignment , 2010, IEEE Transactions on Communications.

[4]  Robert W. Heath,et al.  Cooperative Algorithms for MIMO Interference Channels , 2010, IEEE Transactions on Vehicular Technology.

[5]  Yngve Selén,et al.  3G LTE Simulations Using Measured MIMO Channels , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[6]  José Antonio García-Naya,et al.  Experimental validation of Interference Alignment techniques using a multiuser MIMO testbed , 2011, 2011 International ITG Workshop on Smart Antennas.

[7]  Syed Ali Jafar,et al.  A Distributed Numerical Approach to Interference Alignment and Applications to Wireless Interference Networks , 2011, IEEE Transactions on Information Theory.

[8]  Mats Bengtsson.  A pragmatic approach to multi-user spatial multiplexing , 2002, Sensor Array and Multichannel Signal Processing Workshop Proceedings, 2002.

[9]  Robert W. Heath,et al.  The Feasibility of Interference Alignment Over Measured MIMO-OFDM Channels , 2009, IEEE Transactions on Vehicular Technology.

[10]  Syed Ali Jafar,et al.  Interference Alignment and Degrees of Freedom of the $K$-User Interference Channel , 2008, IEEE Transactions on Information Theory.

[11]  R. Berry,et al.  Minimum Mean Squared Error interference alignment , 2009, 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.

[12]  Jonas Medbo,et al.  Propagation channel impact on LTE positioning accuracy: A study based on real measurements of observed time difference of arrival , 2009, 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications.

[13]  Gerd Ascheid,et al.  Performance evaluation of downlink beamforming over non-stationary channels with interference , 2011, 2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications.

[14]  Murat Torlak,et al.  Optimization of Interference Alignment Beamforming Vectors , 2010, IEEE Journal on Selected Areas in Communications.

[15]  Maxime Guillaud,et al.  Clustered interference alignment in large cellular networks , 2009, 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications.