Unified Optimal Power Allocation Strategy for MIMO Candidates in 3GPP HSDPA

We compare the achievable throughput of time division multiple access (TDMA) multiple-input multiple-output (MIMO) schemes illustrated in the 3rd Generation Partnership Project (3GPP) MIMO technical report, versus the sum-rate capacity of space-time multiple access (STMA). These schemes have been proposed to improve the 3GPP high speed downlink packet access (HSDPA) channel by employing multiple antennas at both the base station and mobile stations. Our comparisons are performed in multi-user environments and are conducted using TDMA such as Qualcomm's High Data Rate and HSDPA, which is a simpler technique than STMA. Furthermore, we present the unified optimal power allocation strategy for HSDPA MIMO schemes by exploiting the similarity of multiple antenna systems and multi-user channel problems.

[1]  Rick S. Blum,et al.  Multiuser diversity for a dirty paper approach , 2003, IEEE Communications Letters.

[2]  Emre Telatar,et al.  Capacity of Multi-antenna Gaussian Channels , 1999, Eur. Trans. Telecommun..

[3]  Hyundong Shin,et al.  Closed-form formulas for ergodic capacity of MIMO Rayleigh fading channels , 2003, IEEE International Conference on Communications, 2003. ICC '03..

[4]  Mamoru Sawahashi,et al.  Independent Turbo Coding and Common Interleaving Method among Transmitter Branches Achieving Peak Throughput of 1 Gbps in OFCDM MIMO Multiplexing , 2004 .

[5]  Andrea J. Goldsmith,et al.  Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels , 2003, IEEE Trans. Inf. Theory.

[6]  Reinaldo A. Valenzuela,et al.  Simplified processing for high spectral efficiency wireless communication employing multi-element arrays , 1999, IEEE J. Sel. Areas Commun..

[7]  Jong-Wha Chong,et al.  An Efficient Scheme to Achieve Differential Unitary Space-Time Modulation on MIMO-OFDM Systems , 2004 .

[8]  Babak Hassibi,et al.  Scaling laws of sum rate using time-sharing, DPC, and beamforming for MIMO broadcast channels , 2004, International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings..

[9]  Wei Yu.  Spatial multiplex in downlink multiuser multiple-antenna wireless environments , 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

[10]  A. Goldsmith,et al.  Sum power iterative water-filling for multi-antenna Gaussian broadcast channels , 2002, Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002..

[11]  Shlomo Shamai,et al.  On the achievable throughput of a multiantenna Gaussian broadcast channel , 2003, IEEE Transactions on Information Theory.

[12]  Andrea J. Goldsmith,et al.  Dirty-paper coding versus TDMA for MIMO Broadcast channels , 2005, IEEE Transactions on Information Theory.

[13]  Wei Yu,et al.  Iterative water-filling for Gaussian vector multiple-access channels , 2001, IEEE Transactions on Information Theory.

[14]  Kwang Bok Lee,et al.  Space-time technique for wireless multiuser MIMO systems with SIC receivers , 2004, 2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE Cat. No.04TH8754).

[15]  Brian K. Classon,et al.  High speed downlink packet access performance , 2001, IEEE VTS 53rd Vehicular Technology Conference, Spring 2001. Proceedings (Cat. No.01CH37202).

[16]  Bertrand M. Hochwald,et al.  Space-Time Multiple Access: Linear Growth in the Sum Rate , 2002 .

[17]  Insoo Sohn,et al.  Joint Processing of Zero-Forcing Detection and MAP Decoding for a MIMO-OFDM System , 2004 .

[18]  Angel E. Lozano,et al.  Approaching eigenmode BLAST channel capacity using V-BLAST with rate and power feedback , 2001, IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211).

[19]  Gerard J. Foschini,et al.  Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas , 1996, Bell Labs Technical Journal.