Capacity of Magnetic-Induction MIMO Communication for Wireless Underground Sensor Networks

In underground sensor networks, electronic magnetic waves undergo severe fading due to the challenging environment. Magnetic-induction (MI) communication is a promising alternative physical layer technique for underground sensor networks. In this paper, we solve the intercoil crosstalk in magnetic-induction multiple-input multiple-output (MI MIMO) communication and investigate the channel capacity for underground MI MIMO wireless communication. Firstly, considering mutual induction between each two coils, we analyze the capacity of magnetic-induction channel. Secondly, the channel model of magnetic-induction multiple-input single-output (MISO) is introduced and a novel coil deployment method is proposed to reduce the crosstalk in MI MISO communication. Finally, the capacity of MI MISO communication and MI MIMO communication is deduced by the proposed coil deployment method. Simulation shows that the channel capacity would increase significantly in high SNR regime for underground MI MIMO communication.

[1]  Ian F. Akyildiz,et al.  On capacity of magnetic induction-based wireless underground sensor networks , 2012, 2012 Proceedings IEEE INFOCOM.

[2]  Mehrnoush Masihpour,et al.  Cooperative relay in Near Field Magnetic Induction: A new technology for embedded medical communication systems , 2010, 2010 Fifth International Conference on Broadband and Biomedical Communications.

[3]  Ian F. Akyildiz,et al.  Channel capacity of magnetic induction based Wireless Underground Sensor Networks under practical constraints , 2013, 2013 IEEE Wireless Communications and Networking Conference (WCNC).

[4]  Xin Dong,et al.  A Channel Model for Wireless Underground Sensor Networks Using Lateral Waves , 2011, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.

[5]  Xiaotong Zhang,et al.  Near-field magnetic induction communication device for underground wireless communication networks , 2014, Science China Information Sciences.

[6]  Salman Kahrobaee,et al.  Vibration energy harvesting for wireless underground sensor networks , 2013, 2013 IEEE International Conference on Communications (ICC).

[7]  O. B. Akan,et al.  A Communication Theoretical Modeling of Single-Walled Carbon Nanotube Optical Nanoreceivers and Broadcast Power Allocation , 2012, IEEE Transactions on Nanotechnology.

[8]  Johnson I. Agbinya.  Performance of Magnetic Induction Communication Systems Using Induction Factors , 2013, Wirel. Pers. Commun..

[9]  Kisong Lee,et al.  Maximizing the Capacity of Magnetic Induction Communication for Embedded Sensor Networks in Strongly and Loosely Coupled Regions , 2013, IEEE Transactions on Magnetics.

[10]  L. Solymar,et al.  Magneto-inductive waveguide , 2002 .

[11]  Ian F. Akyildiz,et al.  Increasing the Capacity of Magnetic Induction Communications in RF-Challenged Environments , 2013, IEEE Transactions on Communications.

[12]  M. C. Domingo,et al.  Magnetic Induction for Underwater Wireless Communication Networks , 2012, IEEE Transactions on Antennas and Propagation.

[13]  Rajeev Bansal,et al.  Near-field magnetic communication , 2004 .

[14]  Young-Suk Park,et al.  Improving output gain of wireless sensor network hardware design for underground applications , 2013 .

[15]  Sima Noghanian,et al.  A Survey of Wireless Communications and Propagation Modeling in Underground Mines , 2013, IEEE Communications Surveys & Tutorials.

[16]  Andrea J. Goldsmith,et al.  Capacity limits of MIMO channels , 2003, IEEE J. Sel. Areas Commun..

[17]  Özgür B. Akan,et al.  A Communication Theoretical Modeling and Analysis of Underwater Magneto-Inductive Wireless Channels , 2012, IEEE Transactions on Wireless Communications.

[18]  N. Thilak,et al.  Near field magnetic induction Communication in Body Area Network , 2012, 2012 International Conference on Devices, Circuits and Systems (ICDCS).