Iterative Inter-Cluster Interference Cancellation for Cooperative Base Station Systems

This paper proposes an iterative inter-cluster interference (ICI) cancellation method for cooperative base station systems on the downlink/uplink. System level simulations were conducted with the parameter sets of cluster size and iteration order. The result showed that even in the imperfect CSI case, the spectral efficiency performance of the proposed method with the optimum parameter set is comparable to that of cooperative transmission/reception via MU-MIMO which can completely remove inter-cell interference. In addition, since the proposed method can be practiced in a simple manner, it also has a remarkable advantage to reduce computational complexity. It is a practical way to realize the nationwide wireless systems.

[1]  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 .

[2]  Atsushi Ohta,et al.  Improving spectral efficiency of multiuser-MIMO Distributed Antenna Systems by inter-cluster interference cancellation , 2010, 2010 Asia-Pacific Microwave Conference.

[3]  M. J. Gans,et al.  On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas , 1998, Wirel. Pers. Commun..

[4]  Kazuki Maruta,et al.  Inter-cluster interference canceller for multiuser MIMO distributed antenna systems , 2009, 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications.

[5]  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).

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

[7]  Martin Haardt,et al.  An introduction to the multi-user MIMO downlink , 2004, IEEE Communications Magazine.

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

[9]  Hongwen Yang,et al.  Effect of Imperfect Channel Estimation on Multi-User Beamforming in LTE-Advanced System , 2010, 2010 IEEE 71st Vehicular Technology Conference.