Position aware communication with noisy position measurements

This paper presents capacity limits of novel position aware adaptive cellular communication systems exploiting channel state information (CSI) at the transmitter (CSIT). The position aware adaptive communication systems are benchmarked against state-of-the-art adaptive modulation and coding (AMC) systems that use only feedback or predict CSIT in addition to the feedback CSI. We analyze the position aware adaptive communication systems both with perfect and imperfect position information. Numerical results demonstrate that position aware adaptive systems operate close to the channel capacity over a large range of feedback delays and channel variability with perfect position information. Further, position aware adaptive communication systems can outperform state-of-the-art AMC systems for Gaussian distributed position errors with standard deviations smaller than 2.5 m by more than 0.6 bits/s/Hz.

[1]  Stephan Sand,et al.  Hybrid Data Fusion and Cooperative Schemes for Wireless Positioning , 2008, 2008 IEEE 68th Vehicular Technology Conference.

[2]  Jens Kammann,et al.  A new mobility model based on maps , 2003, 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484).

[3]  Sailes K. Sengijpta Fundamentals of Statistical Signal Processing: Estimation Theory , 1995 .

[4]  D. Slock,et al.  Performance Assessment of Hybrid Data Fusion and Tracking Algorithms , 2009 .

[5]  Khaled Fazel,et al.  Multi-Carrier and Spread Spectrum Systems , 2003 .

[6]  Alan L. Yuille,et al.  The Motion Coherence Theory , 1988, [1988 Proceedings] Second International Conference on Computer Vision.

[7]  K. Fazel,et al.  Multi-Carrier and Spread Spectrum Systems: Fazel/Spread Spectrum , 2004 .

[8]  Stephan Sand,et al.  Position aware adaptive communication systems , 2009, 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.