Efficient Link-to-System Level Model for MIMO HSDPA

To assess the performance of future mobile network technologies, system level simulations are crucial. They serve to identify whether, and to which amount, predicted link level performance gains are obtained in an entire network. In this paper, we present a computationally efficient link-to-system level model for system-level evaluations of multiple-input multiple- output (MIMO) high-speed downlink packet access (HSDPA), including double-stream transmit antenna array (D-TxAA) as a special case. The model is based on a fairly general structure which also allows for the mapping of more than two independent streams. We base the description on the post-equalization signal- to-interference-and-noise ratio (SINR) and represent it in a so- called "fading-parameter" structure, which leads to a nice split of the individual interference terms - which can be used e.g. for receiver optimization. These fading-parameters furthermore allow for a generation prior to the system level simulation itself, which reduces the computational burden significantly.

[1]  Markus Rupp,et al.  Efficient link measurement model for system level simulations of Alamouti encoded MIMO HSDPA transmissions , 2008, 2008 International ITG Workshop on Smart Antennas.

[2]  Dimitrios I. Axiotis,et al.  System level evaluation of reconfigurable MIMO techniques enhancements for HSDPA , 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

[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]  T. Zemen,et al.  Time-variant channel estimation using discrete prolate spheroidal sequences , 2005, IEEE Transactions on Signal Processing.

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

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

[7]  J.E. Mazo,et al.  Digital communications , 1985, Proceedings of the IEEE.

[8]  Adam Pollard,et al.  A system level evaluation of multiple antenna schemes for high speed downlink packet access , 2004, 2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE Cat. No.04TH8754).

[9]  Jelena Mirkovic,et al.  MIMO Link Modeling for System Level Simulations , 2006, 2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications.

[10]  Janne Kurjenniemi,et al.  System Level Analysis of Interference Aware LMMSE Chip Equalization in HSDPA Network , 2007, 2007 12th IEEE Symposium on Computers and Communications.

[11]  Alexander Seeger,et al.  Variable orthogonality factor: a simple interface between link and system level simulation for high speed downlink packet access , 2003, 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484).

[12]  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.

[13]  Lars Häring,et al.  Dynamic system level simulations of downlink beamforming for UMTS FDD , 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

[14]  Markus Rupp,et al.  HSDPA Performance in a Mixed Traffic Network , 2008, VTC Spring 2008 - IEEE Vehicular Technology Conference.

[15]  M. Rupp,et al.  Joint throughput optimized CQI and precoding weight calculation for MIMO HSDPA , 2008, 2008 42nd Asilomar Conference on Signals, Systems and Computers.