Investigation on Interference Rejection Combining Receiver for Space–Frequency Block Code Transmit Diversity in LTE-Advanced Downlink

The interference rejection combining (IRC) receiver, which can strictly suppress intercell interference based on the minimum mean square error (MMSE) criteria, is effective in improving cell-edge user throughput. When assuming the Long Term Evolution (LTE) or LTE-Advanced downlink and open-loop transmit diversity employing the space-frequency block code (SFBC) using Alamouti coding, the IRC receiver must detect the Alamouti coded signals and suppress the interference signals using a couple of received signals in the frequency domain at the same time. To achieve this, the IRC receiver weight matrix, which consists of the channel matrix of the serving cell and the statistics of the covariance matrix, including the interference and thermal noise components, must be extended in the frequency domain, i.e., due to the effect of Alamouti coding, in addition to the spatial domain. These extended matrices can be estimated using the downlink reference signals (RSs) from the serving cell. However, some elements, including the effect of Alamouti coding in the extended covariance matrix, cannot be estimated using a practical estimation scheme that subtracts the replica symbols of the serving cell generated by the estimated channel matrix and the known RS sequence from the received RSs of the serving cell. This is because the RSs in LTE/LTE-Advanced are not transmitted using two adjacent subcarriers. This paper investigates the statistics of these unknown elements and proposes appropriate values, specifically inserting zero values, for these elements assuming the LTE/LTE-Advanced downlink. The results of simulations show that the IRC receiver using the proposed scheme, which has two receiver antenna branches, suppresses the intercell interference and improves the throughput by more than 10% compared with that for the conventional maximal ratio combining (MRC) receiver when a cell-edge environment is assumed.

[1]  I. Reed,et al.  Rapid Convergence Rate in Adaptive Arrays , 1974, IEEE Transactions on Aerospace and Electronic Systems.

[2]  Moussa Abdi,et al.  Interference rejection combining in LTE networks , 2012, Bell Labs Technical Journal.

[3]  Siavash M. Alamouti,et al.  A simple transmit diversity technique for wireless communications , 1998, IEEE J. Sel. Areas Commun..

[4]  A.R. Calderbank,et al.  Applications of space-time block codes and interference suppression for high capacity and high data rate wireless systems , 1998, Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284).

[5]  J.H. Winters,et al.  Optimum combining in digital mobile radio with cochannel interference , 1984, IEEE Transactions on Vehicular Technology.

[6]  Yi Wang,et al.  Antenna pairing for space-frequency block codes in edge-excited distributed antenna systems , 2010, 21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[7]  Preben E. Mogensen,et al.  A stochastic MIMO radio channel model with experimental validation , 2002, IEEE J. Sel. Areas Commun..

[8]  L. Godara Application of antenna arrays to mobile communications. II. Beam-forming and direction-of-arrival considerations , 1997, Proc. IEEE.

[9]  福井 章人,et al.  Radio transmission and reception method and a radio communication terminal device , 2008 .

[10]  Jinsock Lee,et al.  Adaptive modulation switching level control in high speed downlink packet access transmission , 2002 .

[11]  Takahiro Asai,et al.  Performance of Advanced Receiver Employing Interference Rejection Combining to Suppress Inter-Cell Interference in LTE-Advanced Downlink , 2011, 2011 IEEE Vehicular Technology Conference (VTC Fall).

[12]  Hidekazu Taoka,et al.  Investigation on Advanced Receiver Employing Interference Rejection Combining in Asynchronous Network for LTE-Advanced Downlink , 2012, 2012 IEEE 75th Vehicular Technology Conference (VTC Spring).

[13]  Patrick Robertson,et al.  Two-dimensional pilot-symbol-aided channel estimation by Wiener filtering , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.