Optimal Power Allocation to Diversity Branches of Cooperative MISO Sensor Networks
In the context of sensor networks, where every few
dB saving counts, the novel node cooperation schemes are reviewed
where MIMO techniques play a leading role. These methods could be
treated as joint approach for designing physical layer of their
communication scenarios. Then we analyzed the BER performance
of transmission diversity schemes under a general fading channel
model and proposed a power allocation strategy to the transmitting
sensor nodes. This approach is then compared to an equal-power
assignment method and its performance enhancement is verified by
the simulation. Another key point of the contribution lies in the
combination of optimal power allocation and sensor nodes-
cooperation in a transmission diversity regime (MISO). Numerical
results are given through figures to demonstrate the optimality and
efficiency of proposed combined approach.
[1] C. Chong and S. P. Kumar, "Sensor Networks: Evolution, Opportunities
and challenges," Proceedings of the IEEE, Vol. 91, No.8, Aug 2003.
[2] A. Paulraj, R. Nabar, and D. Gore, Introduction to Space-Time Wireless
Communications, Cambridge University Press, Cambridge, UK, 2003.
[3] D. Tse and P. Viswanath, Fundamentals of Wireless Communication,
Cambridge University Press, Cambridge, UK, 2005.
[4] E. Erkip, A. Sendonaris, A. Stefanov, and B. Aazhang, "Cooperative
Communication in Wireless Systems," DIMACS Series in Discrete
Mathematics and Theoretical Computer Science, 2002.
[5] A. Sendonaris, E. Erkip, and B. Aazhang, "User cooperation diversityÔÇö
Part I: System description," IEEE Trans. Comm., vol. 51, pp. 1927-
1938, Nov. 2003.
[6] A. Sendonaris, E. Erkip, and B. Aazhang, "User cooperation diversityÔÇö
Part II: Implementation Aspects and Performance Analysis," IEEE
Trans. Comm., vol. 51, No. 11, Nov. 2003.
[7] A. Stefanov and E. Erkip, "Cooperative Space-Time Coding for
Wireless Networks," ITW2003, Paris, France, March 31 - April 4, 2003.
[8] V. Rodoplu and T. H. Meng, "Minimum Energy Mobile Wireless
Networks," IEEE J. on Select. Areas in Comm., Vol. 17, No. 8, Aug
1999.
[9] S. Cui, A. J. Goldsmith, and A. Bahai, "Energy efficiency of MIMO and
Cooperative MIMO Techniques in Sensor Networks," IEEE J. on Select.
Areas in Comm., 2004.
[10] S. M. Alamouti, "A Simple Transmit Diversity Technique for Wireless
Communications," IEEE J. on Select. Areas in Comm, Vol. 16, No. 8,
Oct 1998.
[11] J. G. Proakis, Digital Communications, 4th Edition, McGraw Hill, USA,
2001.
[1] C. Chong and S. P. Kumar, "Sensor Networks: Evolution, Opportunities
and challenges," Proceedings of the IEEE, Vol. 91, No.8, Aug 2003.
[2] A. Paulraj, R. Nabar, and D. Gore, Introduction to Space-Time Wireless
Communications, Cambridge University Press, Cambridge, UK, 2003.
[3] D. Tse and P. Viswanath, Fundamentals of Wireless Communication,
Cambridge University Press, Cambridge, UK, 2005.
[4] E. Erkip, A. Sendonaris, A. Stefanov, and B. Aazhang, "Cooperative
Communication in Wireless Systems," DIMACS Series in Discrete
Mathematics and Theoretical Computer Science, 2002.
[5] A. Sendonaris, E. Erkip, and B. Aazhang, "User cooperation diversityÔÇö
Part I: System description," IEEE Trans. Comm., vol. 51, pp. 1927-
1938, Nov. 2003.
[6] A. Sendonaris, E. Erkip, and B. Aazhang, "User cooperation diversityÔÇö
Part II: Implementation Aspects and Performance Analysis," IEEE
Trans. Comm., vol. 51, No. 11, Nov. 2003.
[7] A. Stefanov and E. Erkip, "Cooperative Space-Time Coding for
Wireless Networks," ITW2003, Paris, France, March 31 - April 4, 2003.
[8] V. Rodoplu and T. H. Meng, "Minimum Energy Mobile Wireless
Networks," IEEE J. on Select. Areas in Comm., Vol. 17, No. 8, Aug
1999.
[9] S. Cui, A. J. Goldsmith, and A. Bahai, "Energy efficiency of MIMO and
Cooperative MIMO Techniques in Sensor Networks," IEEE J. on Select.
Areas in Comm., 2004.
[10] S. M. Alamouti, "A Simple Transmit Diversity Technique for Wireless
Communications," IEEE J. on Select. Areas in Comm, Vol. 16, No. 8,
Oct 1998.
[11] J. G. Proakis, Digital Communications, 4th Edition, McGraw Hill, USA,
2001.
@article{"International Journal of Electrical, Electronic and Communication Sciences:54155", author = "Rooholah Hasanizadeh and Saadan Zokaei", title = "Optimal Power Allocation to Diversity Branches of Cooperative MISO Sensor Networks", abstract = "In the context of sensor networks, where every few
dB saving counts, the novel node cooperation schemes are reviewed
where MIMO techniques play a leading role. These methods could be
treated as joint approach for designing physical layer of their
communication scenarios. Then we analyzed the BER performance
of transmission diversity schemes under a general fading channel
model and proposed a power allocation strategy to the transmitting
sensor nodes. This approach is then compared to an equal-power
assignment method and its performance enhancement is verified by
the simulation. Another key point of the contribution lies in the
combination of optimal power allocation and sensor nodes-
cooperation in a transmission diversity regime (MISO). Numerical
results are given through figures to demonstrate the optimality and
efficiency of proposed combined approach.", keywords = "Optimal power allocation, cooperative MISO
scheme, sensor networks, diversity branch.", volume = "2", number = "7", pages = "1398-5", }