Coexistence Analysis Between Radar and Cellular System in LoS Channel

Sharing spectrum with incumbents such as radar systems is an attractive solution for cellular operators in order to meet the ever-growing bandwidth requirements and ease the spectrum crunch problem. In order to realize efficient spectrum sharing, interference mitigation techniques are required. In this letter, we address techniques to mitigate multiple-input-multiple-output (MIMO) radar interference at MIMO cellular base stations (BSs). We specifically look at the amount of power received at BSs when radar uses null space projection (NSP)-based interference mitigation method. NSP reduces the amount of projected power at targets that are in close vicinity to BSs. We study this issue and show that this can be avoided if radar employs a larger transmit array. In addition, we compute the coherence time of channel between radar and BSs and show that the coherence time of channel is much larger than the pulse repetition interval of radars. Therefore, NSP-based interference mitigation techniques that depend on accurate channel state information (CSI) can be effective as the problem of CSI being outdated does not occur for most practical scenarios.

[1]  Frank Sanders Effects of Radar Interference on LTE Base Station Receiver Performance , 2013 .

[2]  Ahmed Abdel-Hadi,et al.  A Utility Proportional Fairness Resource Allocation in Spectrally Radar-Coexistent Cellular Networks , 2014, 2014 IEEE Military Communications Conference.

[3]  Braham Himed,et al.  Interference Mitigation Processing for Spectrum-Sharing Between Radar and Wireless Communications Systems , 2013, IEEE Transactions on Aerospace and Electronic Systems.

[4]  P. Stoica,et al.  MIMO Radar Signal Processing , 2008 .

[5]  Milos Doroslovacki,et al.  Distinguishing CPFSK from QAM and PSK Modulations , 2016, Circuits Syst. Signal Process..

[6]  Jon M. Peha,et al.  Opportunistic Sharing Between Rotating Radar and Cellular , 2012, IEEE Journal on Selected Areas in Communications.

[7]  Milos Doroslovacki,et al.  Order recognition of continuous-phase FSK , 2015, 2015 49th Asilomar Conference on Signals, Systems and Computers.

[8]  Milos Doroslovacki,et al.  Distinguishing BFSK from QAM and PSK by sampling once per symbol , 2014, 2014 48th Asilomar Conference on Signals, Systems and Computers.

[9]  Milos Doroslovacki,et al.  Quickness of the instantaneous frequency based classifier distinguishing BFSK from QAM and PSK modulations , 2013, 2013 Asilomar Conference on Signals, Systems and Computers.

[10]  Awais Khawar,et al.  Target Detection Performance of Spectrum Sharing MIMO Radars , 2014, IEEE Sensors Journal.

[11]  Jon M. Peha,et al.  Performance of data services in cellular networks sharing spectrum with a single rotating radar , 2012, 2012 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM).

[12]  Awais Khawar,et al.  MIMO radar waveform design for coexistence with cellular systems , 2014, 2014 IEEE International Symposium on Dynamic Spectrum Access Networks (DYSPAN).

[13]  Awais Khawar,et al.  A mathematical analysis of cellular interference on the performance of S-band military radar systems , 2014, 2014 Wireless Telecommunications Symposium.

[14]  Milos Doroslovacki,et al.  Robust recognition of linear and nonlinear digital modulations of RRC pulse trains , 2015, 2015 49th Annual Conference on Information Sciences and Systems (CISS).

[15]  Milos Doroslovacki,et al.  Identification of L-ary CPFSK in a fading channel using approximate entropy , 2015, 2015 49th Annual Conference on Information Sciences and Systems (CISS).

[16]  Shabnam Sodagari,et al.  A projection based approach for radar and telecommunication systems coexistence , 2012, 2012 IEEE Global Communications Conference (GLOBECOM).

[17]  Frank Sanders Analysis and Resolution of RF Interference to Radars Operating in the Band 2700-2900 MHz from Broadband Communication Transmitters , 2012 .

[18]  Awais Khawar,et al.  Resource allocation with carrier aggregation in LTE Advanced cellular system sharing spectrum with S-band radar , 2014, 2014 IEEE International Symposium on Dynamic Spectrum Access Networks (DYSPAN).

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

[20]  Awais Khawar,et al.  Radar Precoder Design for Spectral Coexistence with Coordinated Multi-point (CoMP) System , 2015, ArXiv.

[21]  Awais Khawar,et al.  QPSK waveform for MIMO radar with spectrum sharing constraints , 2015, Phys. Commun..

[22]  Awais Khawar,et al.  Beampattern analysis for MIMO radar and telecommunication system coexistence , 2014, 2014 International Conference on Computing, Networking and Communications (ICNC).

[23]  Awais Khawar,et al.  Spectrum sharing between S-band radar and LTE cellular system: A spatial approach , 2014, 2014 IEEE International Symposium on Dynamic Spectrum Access Networks (DYSPAN).

[24]  Milos Doroslovacki,et al.  Recognizing FM, BPSK and 16-QAM using supervised and unsupervised learning techniques , 2015, 2015 49th Asilomar Conference on Signals, Systems and Computers.

[25]  Milos Doroslovacki,et al.  Performance of the instantaneous frequency based classifier distinguishing BFSK from QAM and PSK modulations for asynchronous sampling and slow and fast fading , 2013, 2013 47th Annual Conference on Information Sciences and Systems (CISS).

[26]  Awais Khawar,et al.  On The Impact of Time-Varying Interference-Channel on the Spatial Approach of Spectrum Sharing between S-band Radar and Communication System , 2014, 2014 IEEE Military Communications Conference.

[27]  Milos Doroslovacki,et al.  Separation of signals consisting of amplitude and instantaneous frequency RRC pulses using SNR uniform training , 2015, 2015 49th Asilomar Conference on Signals, Systems and Computers.

[28]  Ahmed Abdel-Hadi,et al.  Overlapped-MIMO radar waveform design for coexistence with communication systems , 2015, 2015 IEEE Wireless Communications and Networking Conference (WCNC).