Doppler Effect Assisted Wireless Communication for Interference Mitigation

Doppler effect is a fundamental phenomenon that appears in wave propagation, where a moving observer experiences dilation or contraction of the wavelength of a wave. It also appears in radio frequency (RF) wireless communication when there exists a relative movement between the transmitter and the receiver, and is widely considered as a major impairment for reliable wireless communication. The current paper proposes Doppler assisted wireless communication (DAWC) that exploits Doppler effect and uses kinetic energy for co-channel interference (CCI) mitigation. The proposed system also exploits the propagation environment and the network topology and consists of an access point (AP) with a rotating drum antenna. The rotating drum receive antenna is designed in such a way that it shifts the interfering signals away from the desired signal band. This paper includes a detailed system model, and the results show that under favorable fading conditions, CCI can be significantly reduced. Therefore, it is anticipated that more sophisticated wireless systems and networks can be designed by extending the basic ideas proposed herein.

[1]  Jens Zander,et al.  Distributed cochannel interference control in cellular radio systems , 1992 .

[2]  Gordon L. Stuber,et al.  Principles of mobile communication (2nd ed.) , 2001 .

[3]  U. Koren,et al.  Semiconductor lasers for coherent optical fiber communications , 1990 .

[4]  H. Vincent Poor,et al.  Application of Non-Orthogonal Multiple Access in LTE and 5G Networks , 2015, IEEE Communications Magazine.

[5]  R. Meyer,et al.  TESAT laser communication terminal performance results on 5.6Gbit coherent inter satellite and satellite to ground links , 2017, International Conference on Space Optics.

[6]  P. Cochat,et al.  Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.

[7]  Andrea Goldsmith,et al.  Wireless Communications , 2005, 2021 15th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS).

[8]  Rohit U. Nabar,et al.  Introduction to Space-Time Wireless Communications , 2003 .

[9]  L. Godara Application of antenna arrays to mobile communications. II. Beam-forming and direction-of-arrival considerations , 1997, Proc. IEEE.

[10]  Anass Benjebbour,et al.  Non-Orthogonal Multiple Access (NOMA) for Cellular Future Radio Access , 2013, 2013 IEEE 77th Vehicular Technology Conference (VTC Spring).

[11]  Peter J. Smith,et al.  Performance Analysis of Macrodiversity MIMO Systems with MMSE and ZF Receivers in Flat Rayleigh Fading , 2012, IEEE Transactions on Wireless Communications.

[12]  Gerhard Fettweis,et al.  Large scale field trial results on different uplink coordinated Multi-Point (CoMP) concepts in an urban environment , 2011, 2011 IEEE Wireless Communications and Networking Conference.

[13]  Taoka Hidekazu,et al.  Scenarios for 5G mobile and wireless communications: the vision of the METIS project , 2014, IEEE Communications Magazine.

[14]  Geoffrey Ye Li,et al.  An Overview of Massive MIMO: Benefits and Challenges , 2014, IEEE Journal of Selected Topics in Signal Processing.

[15]  Robert W. Heath,et al.  On the Overhead of Interference Alignment: Training, Feedback, and Cooperation , 2012, IEEE Transactions on Wireless Communications.

[16]  S. Haykin,et al.  Adaptive Filter Theory , 1986 .

[17]  Cheng-Xiang Wang,et al.  Cross-Layer Interference Mitigation for Cognitive Radio MIMO Systems , 2011, 2011 IEEE International Conference on Communications (ICC).

[18]  Minyoung Park,et al.  Analysis on spatial reuse, interference, and MAC layer interference mitigation schemes in 60 GHz wireless networks , 2009, 2009 IEEE International Conference on Ultra-Wideband.

[19]  Andrea J. Goldsmith,et al.  A new modulation technique for Doppler compensation in frequency-dispersive channels , 2017, 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[20]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[21]  Derrick Wing Kwan Ng,et al.  A Tone-Based AoA Estimation and Multiuser Precoding for Millimeter Wave Massive MIMO , 2017, IEEE Transactions on Communications.