On the Energy-Efficiency of Cooperative MIMO in Nakagami-Fading Wireless Sensor Networks

We study the impact of the degree of fading on the potential energy-wise benefits of implementing cooperative MIMO in wireless sensor networks. Through the use of a Nakagami-m fading model we show that the performance, relative to SISO, is very sensitive to the fading degree. This sensitivity is most pronounced under the common (worst-case) assumption of pure Rayleigh fading. Our study includes recent channel measurements and indicates that, unless the sensor node circuitry is extremely energy-efficient, the implementation of cooperative MIMO might be counterproductive.

[1]  U. Charash Reception Through Nakagami Fading Multipath Channels with Random Delays , 1979, IEEE Trans. Commun..

[2]  A. Goldsmith,et al.  The effect of time synchronization errors on the performance of cooperative MISO systems , 2004, IEEE Global Telecommunications Conference Workshops, 2004. GlobeCom Workshops 2004..

[3]  Aitor del Coso,et al.  Cooperative distributed MIMO channels in wireless sensor networks , 2007, IEEE Journal on Selected Areas in Communications.

[4]  C. Enz,et al.  Ultra low-power radio design for wireless sensor networks , 2005, 2005 IEEE International Wkshp on Radio-Frequency Integration Technology: Integrated Circuits for Wideband Comm & Wireless Sensor Networks.

[5]  Mattias Wennstr,et al.  ON MIMO SYSTEMS AND ADAPTIVE ARRAYS FOR WIRELESS COMMUNICATION Analysis and Practical Issues , 2002 .

[6]  Andrea J. Goldsmith,et al.  Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks , 2004, IEEE Journal on Selected Areas in Communications.

[7]  Sudharman K. Jayaweera,et al.  Virtual MIMO-based cooperative communication for energy-constrained wireless sensor networks , 2006, IEEE Transactions on Wireless Communications.

[8]  Ayman F. Abouraddy,et al.  Statistical modeling of the indoor radio channel at 10 GHz through propagation measurements .I. Narrow-band measurements and modeling , 2000, IEEE Trans. Veh. Technol..

[9]  Asrar U. H. Sheikh,et al.  A geometric theory of Nakagami fading multipath mobile radio channel with physical interpretations , 1996, Proceedings of Vehicular Technology Conference - VTC.

[10]  Anantha Chandrakasan,et al.  A framework for energy-scalable communication in high-density wireless networks , 2002, ISLPED '02.

[11]  Sudharman K. Jayaweera,et al.  An energy-efficient virtual MIMO architecture based on V-BLAST processing for distributed wireless sensor networks , 2004, 2004 First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2004. IEEE SECON 2004..

[12]  K.L. Virga,et al.  Measured characteristics of 30-GHz indoor propagation channels with low-profile directional antennas , 2002, IEEE Antennas and Wireless Propagation Letters.

[13]  Jan M. Rabaey,et al.  Energy aware routing for low energy ad hoc sensor networks , 2002, 2002 IEEE Wireless Communications and Networking Conference Record. WCNC 2002 (Cat. No.02TH8609).

[14]  Lorenzo Rubio,et al.  Evaluation of Nakagami fading behaviour based on measurements in urban scenarios , 2007 .

[15]  Norman C. Beaulieu,et al.  Maximum-likelihood based estimation of the Nakagami m parameter , 2001, IEEE Communications Letters.