Joint throughput optimized CQI and precoding weight calculation for MIMO HSDPA

In MIMO high speed downlink packet access, the channel adaptation is performed by means of the channel quality indicator (CQI) and the precoding control indicator (PCI). The CQI value is utilized to determine the coding rate and modulation alphabet, as well as the number of spatially multiplexed data streams. The PCI value is associated to a specific precoding vector that is applied to the transmit signal at the basestation. In this work, we derive analytic expressions for the post equalization SINR. These SINR values are then evaluated at the receiver to jointly calculate the CQI and the PCI in order to maximize the data throughput. The SINR expressions are verified not only by simulations but also by outdoor MIMO HSDPA measurements.

[1]  Markus Rupp,et al.  Performance evaluation of intra-cell interference cancelation in D-TxAA HSDPA , 2008, 2008 International ITG Workshop on Smart Antennas.

[2]  M. Rupp,et al.  Efficient Link-to-System Level Model for MIMO HSDPA , 2008, 2008 IEEE Globecom Workshops.

[3]  A. Szabo,et al.  Investigations on link system level interface for MIMO systems , 2003, 3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the.

[4]  M. Rupp,et al.  On MIMO decoding algorithms for UMTS , 2001, Conference Record of Thirty-Fifth Asilomar Conference on Signals, Systems and Computers (Cat.No.01CH37256).

[5]  M. Rupp,et al.  Design and real-time measurement of HSDPA equalizers , 2005, IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005..

[6]  Markus Rupp,et al.  Measurement based evaluation of low complexity receivers for D-TxAA HSDPA , 2008, 2008 16th European Signal Processing Conference.

[7]  Markus Rupp,et al.  Novel Tap-Wise LMMSE Channel Estimation for MIMO W-CDMA , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[8]  Robert Langwieser,et al.  Vienna MIMO Testbed , 2006, EURASIP J. Adv. Signal Process..

[9]  Eduardo Zacarı́as Adaptive transmit beamforming with closed loop feedback in MIMO systems , 2005 .

[10]  Babak Hassibi,et al.  How much training is needed in multiple-antenna wireless links? , 2003, IEEE Trans. Inf. Theory.

[11]  L. Mailaender,et al.  Linear MIMO equalization for CDMA downlink signals with code reuse , 2005, IEEE Transactions on Wireless Communications.

[12]  Markus Rupp,et al.  A flexible MIMO testbed with remote access , 2005, 2005 13th European Signal Processing Conference.

[13]  Robert Langwieser,et al.  Testbeds and Rapid Prototyping in Wireless System Design , 2006 .

[14]  Markus Rupp,et al.  Experimental Evaluation of Adaptive Modulation and Coding in MIMO WiMAX with Limited Feedback , 2007, EURASIP J. Adv. Signal Process..

[15]  M. Rupp,et al.  Interference aware MMSE equalization for MIMO TxAA , 2008, 2008 3rd International Symposium on Communications, Control and Signal Processing.

[16]  Markus Rupp,et al.  Intra-cell interference aware equalization for TxAA HSDPA , 2008, 2008 3rd International Symposium on Wireless Pervasive Computing.

[17]  Risto Wichman,et al.  Partial Update Adaptive Transmit Beamforming with Limited Feedback , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[18]  K. Rohani,et al.  Impact of imperfect estimators on W-CDMA receiver performance with MIMO antenna systems , 2003, 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484).