Network MIMO with partial cooperation between radar and cellular systems

To meet the growing spectrum demands, future cellular systems are expected to share the spectrum of other services such as radar. In this paper, we consider a network multiple-input multiple-output (MIMO) with partial cooperation model where radar stations cooperate with cellular base stations (BS)s to deliver messages to intended mobile users. So the radar stations act as BSs in the cellular system. However, due to the high power transmitted by radar stations for detection of far targets, the cellular receivers could burnout when receiving these high radar powers. Therefore, we propose a new projection method called small singular values space projection (SSVSP) to mitigate these harmful high power and enable radar stations to collaborate with cellular base stations. In addition, we formulate the problem into a MIMO interference channel with general constraints (MIMO-IFC-GC). Finally, we provide a solution to minimize the weighted sum mean square error minimization problem (WSMMSE) with enforcing power constraints on both radar and cellular stations.

[1]  Awais Khawar,et al.  MIMO radar waveform design for coexistence with cellular systems , 2014, 2014 IEEE International Symposium on Dynamic Spectrum Access Networks (DYSPAN).

[2]  H. Vincent Poor,et al.  Downlink capacity of interference-limited MIMO systems with joint detection , 2004, IEEE Transactions on Wireless Communications.

[3]  Wei Yu,et al.  Multi-Cell MIMO Cooperative Networks: A New Look at Interference , 2010, IEEE Journal on Selected Areas in Communications.

[4]  Frank Sanders Analysis and Resolution of RF Interference to Radars Operating in the Band 2700-2900 MHz from Broadband Communication Transmitters , 2012 .

[5]  Shlomo Shamai,et al.  The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel , 2006, IEEE Transactions on Information Theory.

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

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

[8]  Awais Khawar,et al.  A mathematical analysis of cellular interference on the performance of S-band military radar systems , 2014, 2014 Wireless Telecommunications Symposium.

[9]  Awais Khawar,et al.  Beampattern analysis for MIMO radar and telecommunication system coexistence , 2014, 2014 International Conference on Computing, Networking and Communications (ICNC).

[10]  Sriram Vishwanath,et al.  On the Impact of Mobility on Multicast Capacity of Wireless Networks , 2010, 2010 Proceedings IEEE INFOCOM.

[11]  Awais Khawar,et al.  On The Impact of Time-Varying Interference-Channel on the Spatial Approach of Spectrum Sharing between S-band Radar and Communication System , 2014, 2014 IEEE Military Communications Conference.

[12]  Shlomo Shamai,et al.  Linear Precoding and Equalization for Network MIMO With Partial Cooperation , 2012, IEEE Transactions on Vehicular Technology.

[13]  Awais Khawar,et al.  Target Detection Performance of Spectrum Sharing MIMO Radars , 2014, IEEE Sensors Journal.

[14]  Rick S. Blum MIMO capacity with interference , 2003, IEEE J. Sel. Areas Commun..

[15]  Awais Khawar,et al.  QPSK waveform for MIMO radar with spectrum sharing constraints , 2015, Phys. Commun..

[16]  Ari Hottinen,et al.  Increasing downlink cellular throughput with limited network MIMO coordination , 2009, IEEE Transactions on Wireless Communications.

[17]  Jeffrey G. Andrews,et al.  Networked MIMO with clustered linear precoding , 2008, IEEE Transactions on Wireless Communications.