Transmit beamforming for inter-operator spectrum sharing

In EU FP7 project SAPHYRE, we study the nonorthogonal spectrum sharing scenario, in which multiple operators are allowed to utilize the same frequency band in the same location and time. A major impairment in such a scenario is the interference that the cochannel transmissions create. Assuming that the transmitters are equipped with multiple antennas, we propose various transmit beamforming techniques to manage the interference. We show that efficient operating points can be reached, when the operators cooperatively design their beamforming vectors.

[1]  Erik G. Larsson,et al.  Outage rate regions for the MISO IFC , 2009, 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.

[2]  Roy D. Yates,et al.  A Framework for Uplink Power Control in Cellular Radio Systems , 1995, IEEE J. Sel. Areas Commun..

[3]  Bin Song,et al.  Flexible Coordinated Beamforming (FlexCoBF) algorithm for the downlink of multi-user MIMO systems , 2010, 2010 International ITG Workshop on Smart Antennas (WSA).

[4]  Johannes Lindblom,et al.  Cooperative beamforming for the MISO interference channel , 2010, 2010 European Wireless Conference (EW).

[5]  Eduard A. Jorswieck,et al.  Optimal Beamforming in Interference Networks with Perfect Local Channel Information , 2010, IEEE Transactions on Signal Processing.

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

[7]  Nikola Vucic,et al.  DC programming approach for resource allocation in wireless networks , 2010, 8th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks.

[8]  Randa Zakhour,et al.  Coordination on the MISO interference channel using the virtual SINR framework , 2009 .

[9]  Erik G. Larsson,et al.  Globally Optimal Resource Allocation for Achieving Maximum Weighted Sum Rate , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[10]  Robert W. Heath,et al.  Interference Aware-Coordinated Beamforming System in a Two-Cell Environment , 2009 .

[11]  Rick S. Blum,et al.  Optimized signaling for MIMO interference systems with feedback , 2003, IEEE Trans. Signal Process..

[12]  Amir K. Khandani,et al.  Communication Over MIMO X Channels: Interference Alignment, Decomposition, and Performance Analysis , 2008, IEEE Transactions on Information Theory.

[13]  Shuguang Cui,et al.  Cooperative Interference Management With MISO Beamforming , 2009, IEEE Transactions on Signal Processing.

[14]  Wolfgang Utschick,et al.  Distributed Interference Pricing for the MIMO Interference Channel , 2009, 2009 IEEE International Conference on Communications.

[15]  Holger Boche,et al.  QoS-Based Resource Allocation and Transceiver Optimization , 2005, Found. Trends Commun. Inf. Theory.

[16]  Zhi-Quan Luo,et al.  Spectrum Management for Interference-Limited Multiuser Communication Systems , 2009, IEEE Transactions on Information Theory.

[17]  Erik G. Larsson,et al.  Monotonic Optimization Framework for the Two-User MISO Interference Channel , 2010, IEEE Transactions on Communications.

[18]  John C. Harsanyi,et al.  Games with Incomplete Information Played by "Bayesian" Players, I-III: Part I. The Basic Model& , 2004, Manag. Sci..

[19]  Veljko Stankovic,et al.  Generalized Design of Multi-User MIMO Precoding Matrices , 2008, IEEE Transactions on Wireless Communications.

[20]  H. Vincent Poor,et al.  On the Optimality of Beamforming for Multi-User MISO Interference Channels with Single-User Detection , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[21]  Syed Ali Jafar,et al.  Approaching the Capacity of Wireless Networks through Distributed Interference Alignment , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[22]  Erik G. Larsson,et al.  Efficient computation of the Pareto boundary for the MISO interference channel with perfect CSI , 2010, 8th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks.

[23]  Erik G. Larsson,et al.  Complete Characterization of the Pareto Boundary for the MISO Interference Channel , 2008, IEEE Transactions on Signal Processing.

[24]  E.B. Zacarias,et al.  Multiuser MIMO Techniques for Time-Correlated Channels , 2009 .

[25]  E.G. Larsson,et al.  Pareto-optimal beamforming for the MISO interference channel with partial CSI , 2009, 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

[26]  Erik G. Larsson,et al.  Closed-form parameterization of the Pareto boundary for the two-user MISO interference channel , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[27]  Emil Björnson,et al.  Cooperative Multicell Precoding: Rate Region Characterization and Distributed Strategies With Instantaneous and Statistical CSI , 2010, IEEE Transactions on Signal Processing.

[28]  Emil Björnson,et al.  Pareto Characterization of the Multicell MIMO Performance Region With Simple Receivers , 2011, IEEE Transactions on Signal Processing.

[29]  Vasilis Friderikos,et al.  Cross-Layer Optimization to Maximize Fairness Among TCP Flows of Different TCP Flavors , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[30]  Ka Ming Zuleita Ho,et al.  Balancing egoism and altruism on the single beam MIMO interference channel , 2010 .

[31]  Martin Haardt,et al.  Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels , 2004, IEEE Transactions on Signal Processing.