2012-№3(36) Article 15

Maiberger R., Ezri D., Erlihson M.

Location Based Beamforming. P. 156–165

Скачать статью

UDC 621.37

 

When channel state information is available at the transmitter, it can be exploited to increase the throughput, or to enhance the performance of a multiple input multiple output (MIMO) system. Beamforming schemes, such as closed loop MIMO and transmit beamforming constitute efficient means to achieve the aforementioned objectives. A significant shortcoming of transmit beamforming schemes is the signaling overhead required to provide the transmitter with the downlink channel knowledge. Another drawback of transmit beamforming schemes is their sensitivity to channel state information accuracy. In this paper we suggest an alternative beamforming method that uses the receiver positioning data, for example GPS positioning data, to create the transmit beamforming vector. This approach is attractive as in many modern communications systems location based services provide the transmitter (for example a cellular base station) with continuous information respective to the physical position of the receiver (the celluar phone in this case). The location based beamforming method constructs preceding vectors that are optimized for line of sight scenarios. Our simulations show that line of sight precoders are superior to regular codebooks based precoders, such as the IEEE802.16e codebook, in line of sight scenarios. Surprisingly the proposed precoders exhibit acceptable (and even superior) performance in some non line of sight scenarios.

 

Transmit beamforming, Preceding codebook, line of sight.

 

References

1. Guidelines for Evaluation of Radio Transmission Technologies for IMT–2000, ITU, Recommendation ITU–R M.1225 1997

2. Haykin, S. Adaptive Filter Theory. – Prentice Hall (New Jersey), 2002.

3. IEEE Std 802.16e. IEEE Standard for Local and Metropolitan AreaNetworks – Pt. 16: Air Interface for Fixed and Mobile Broadband Wireless Access Systems, IEEE. 2005.

4. Küpper, A. Location–Based Services: Fundamentals and Operation. – Wiley, 2005.

5. Love, D.G. Grassmannian beamforming for multiple–input multiple–output wireless systems [Text]/ D.G. Love, R.W.Jr. Heath// IEEE Trans. Info. Theory. – 2003. – Vol. 49. – N. 10. – Р. 2735–2747.

6. Monzingo, R.A. Introduction to Adaptive Arrays [Text]/ R.A. Monzingo, T.W. Miller. – Scitech, 2004.

7. Nee, Van R.D.J. OFDM for Wireless Multimedia Communications ]. – Artech House Publishers, 1999.

8. Paulraj, A. Introduction to Space–Time Wireless Communications/ A. Paul–raj, R. Nabar, D. Gore. – Cambridge, 2003.

9. Sesia, S. LTE, the UMTS Long Term Evolution: From Theory to Practice/ S. Sesia, I. Toufik, M. Baker. – Wiley, 2009.

10. Schmidt, R.O. Multiple emitter location and signal parameter estimation// IEEE Trans. Antennas and Propa. – 1986. – Vol. 34. – N. 3. – Р. 276–280.

11. Tse, D. Fundamentals of Wireless Communication/ D. Tse, P. Vis–wanath. – Camebridge, 2005.

Uncategorized