Coordinated multi-point transmission with limited feedback

Coordinated multi-point (CoMP) transmission is a promising technique to suppress inter-cell interference (ICI) in LTE-Advanced system. With perfect channel state information (CSI) at the transmitter, joint beamforming methods can be used to completely cancel ICI and significantly improve the spectrum efficiency. However, in FDD system, the transmitter can't obtain perfect CSI to eliminate ICI, for it's unreasonable to feed back the full channel information through the capacity limited feedback channel. In this paper, we propose a channel compression feedback scheme for FDD-CoMP system and adopt joint beamforming methods to partially mitigate ICI. In order to provide multi-cell spatial channel information and improve the feedback efficiency, the row and column number of the channel matrix are compressed using eigenmode of the user and codebook defined for LTE, respectively. Then, joint block diagonalization beamforming algorithm is applied at the transmitter to further eliminate ICI. Simulation results demonstrate that CoMP with the proposed feedback method can greatly improve the average and cell-edge spectral efficiency compared to the traditional cellular FDD system.

[1]  Lars Thiele,et al.  Distributed Base Station Cooperation via Block-Diagonalization and Dual-Decomposition , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[2]  Helmut Bölcskei,et al.  An overview of MIMO communications - a key to gigabit wireless , 2004, Proceedings of the IEEE.

[3]  Mohamad Assaad Optimal Fractional Frequency Reuse (FFR) in Multicellular OFDMA System , 2008, 2008 IEEE 68th Vehicular Technology Conference.

[4]  Q. Wang,et al.  A Novel Cooperative Multi-Cell MIMO Scheme for the Downlink of LTE-Advanced System , 2009, 2009 IEEE International Conference on Communications Workshops.

[5]  Petar Popovski,et al.  Proportional fairness in multi-carrier system with multi-slot frames: upper bound and user multiplexing algorithms , 2008, IEEE Transactions on Wireless Communications.

[6]  Federico Boccardi,et al.  A Near-Optimum Technique using Linear Precoding for the MIMO Broadcast Channel , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

[7]  Shlomo Shamai,et al.  Enhancing the cellular downlink capacity via co-processing at the transmitting end , 2001, IEEE VTS 53rd Vehicular Technology Conference, Spring 2001. Proceedings (Cat. No.01CH37202).

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

[9]  Angeliki Alexiou,et al.  Link performance models for system level simulations of broadband radio access systems , 2005, 2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications.

[10]  H.M. Kwon,et al.  Enhanced SVD-based Transmit Pre-Processing for Single-User and Multi-User MIMO Wireless Systems with Imperfect CSIT , 2007, 2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers.

[11]  Guidelines for evaluation of radio interface technologies for IMT-Advanced , 2008 .

[12]  Federico Boccardi,et al.  On transceiver design and channel quantization for downlink multiuser MIMO systems with limited feedback , 2008, IEEE Journal on Selected Areas in Communications.

[13]  3rd Generation Partnership Project; Technical Specification Group Radio Access Network; Evolved Universal Terrestrial Radio Access (e-utra); Further Advancements for E-utra Physical Layer Aspects (release 9) , 2022 .

[14]  Shidong Zhou,et al.  Limited-Feedback Modified Block Diagonalization for Multiuser MIMO Downlink with Time-Varying Channels , 2009, 2009 IEEE International Conference on Communications.

[15]  Koon Hoo Teo,et al.  Adaptive Soft Frequency Reuse for Inter-Cell Interference Coordination in SC-FDMA Based 3GPP LTE Uplinks , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[16]  Ross D. Murch,et al.  A transmit preprocessing technique for multiuser MIMO systems using a decomposition approach , 2004, IEEE Transactions on Wireless Communications.

[17]  Jeffrey G. Andrews,et al.  Overcoming interference in spatial multiplexing MIMO cellular networks , 2007, IEEE Wireless Communications.