Abstract
Millimeter-wave (mm-wave) communication systems provide data rates in gigabits-per-second, due to large bandwidth availability used or 5G applications. Where the absorption and path loss are high in mm waves, it introduces poor propagation of sending the information. The shadowing can affect the millimeter wave to travel at long distances. Because of the high attenuation, the receiver provides low SNR value. Due to the oscillators, it causes a high interference. The interference occurred in mm wave such as inter-carrier interference, inter-block interference, phase noise, IQTM, etc. The various techniques are implemented at transmitter and receiver side to reduce the interferences. These waves are called a shorter wavelength wave, also has need to use a more number of antenna elements. Anyway, this mm-wave system has more spectral efficiency which was used for reducing the traffic demands. To overcome these problems, the beamforming was used with MIMO technology. This survey shows the effect of various interference and the cancelation techniques in downlink communications.
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References
G. Zhu, K. Huang, V.K.N. Lau, B. Xia, X. Li, S. Zhang, Hybrid interference cancellation in millimeter-wave MIMO systems, in 2016 IEEE International Conference on Communication Systems (ICCS), pp. 1–6 (Shenzhen, 2016)
E.U. Dayakumar, V. Krishnaveni, Analysing of various interference in Mmwave comm system: a survey, in Proceedings of IEEE International Conf on Computing, Comm & Networking Technology (ICCCNT ‘19), pp. 1–6 (Kanpur, 2019)
T. Wu, T. Chang, Interference reduction of MmWave technology of 5G-based green Comm. IEEE Access 4, 10228–10234 (2016)
G. Zhu, K. Huang, V.K.N. Lau, B. Xia, X. Li, S. Zhang, Beamforming the Kronecker decomposition of interference cancel in the analog domain, in 2017 Global Communication Conference, pp. 1–6 (Singapore, 2017)
G. Yang, M. Xiao, Performance analysis of MMwave relaying, beamwidth and self-interference. IEEE Trans. Comm. 66(2), 589–600 (2018)
S. Niknam, B. Natarajan, R. Barazideh, Interference analysis for finite-area 5G millimeter-wave net consider block effect. IEEE Access 6, 23470–23479 (2018)
C. Wang, C. Qin, Y. Yao, Y. Li, Low complex interference alignment for millimeter wave MIMO channels in 3-cell mobile net. J. Areas Comm 35(7), 1513–1523 (2017)
A. Maltsev et al., Performance of interference mitigation in the overlaying Millimeter Wave small cell net, in IEEE Conference on Communications and Networking (CSCN), pp. 130–136 (Tokyo, 2015)
E. Modiano et al., Interference model index and applications to MMwave networks. IEEE Access on Wireless Comm 17, 71–85 (2018)
A. Hu, Channel estimation for interference mitigation in millimeter-wave multi-cell beamspace MIMO systems. J. Comm and Netw. 19(4), 371–383 (2017)
Y. Zhang, Y. Liu, J. Gao, Decorrelating receiver of interference mitigation in MMwave small cells networks. IEEE Access. 6, 7772–7779 (2018)
H. Wang, R. Song, S. Leung, Removal of ICI & IBI of wireless heterogeneous net. Timing Mismatch. IEEE Comm. Letters. 21(5), 1195–1198 (2017)
H. Wang, S. Leung, R. Song, Analysing of the uplink IBI & ICI in heterogeneous net with multiple macrocells. IEEE Comm Lett. 21, 212–215 (2017)
C. Yu, H. Sun, X.-W. Zhu, W. Hong, A. Zhu, A channel sideband distortion model to suppress Q-band mMwave TX, in 2016 MTT-S Microwave Symposium, pp. 1–3 (San Francisco, CA, 2016)
A. Khansefid, H. Minn, Q. Zhan, et al., Waveform design and comparisons for MmWave Massive MIMO system to RF distortions, in 2016 Globecom workshops, pp. 1–6 (Washington, DC, 2016)
J. Chen et al., Influence of white local oscillator noise on wideband Comm. IEEE Microw. Theory & Tech. 66(7), 3349–3359 (2018)
N. Al-Dhahir et al., Reduced complex joint compensate phase noise & IQ imbalance of MIMO-OFDM systems. Trans. Wirel. Comm. 9(11), 3450–3460 (2010)
Svensson, T. et al., A Beamforming MIMO system in the phase noises at Mmwave frequencies, in 2017 Conference on Wireless Communication & Networking Workshops (WCNCW), pp. 1–6 (San Francisco, CA, 2017)
H. Minn, H. Huang, In phase and quadrature mismatch estimation and compensation of MmWave comm system. Trans. Wirel. Comm. 16(7), 4317–4331 (2017)
F. Wu, Y. Li, M. Zhao, Estimation of transmitter IQ imbalance at the receiver with receiver IQ imbalance & carrier offset of OFDM systems, in 2014 Globecom Workshops, pp. 960–965 (Austin 2014)
A. Chung, M. Ben Rejeb, Y. Beltagy, A.M. Darwish, H.A. Hung, S. Boumaiza, IQ imbalance & digital predistortions of Mmwave TX using reduced sample rate observations. Trans. Microw. Theory & Tech. 66(7), 3433–3442 (2018)
E. Udayakumar, P. Vetrivelan, PAPR Reduction of OQAM-OFDM Signals using neural network. Int. J. Appl. Engg Res. (RI Publications) 10(41), 30292–30297 (2015)
E. Udayakumar, P. Vetrivelan, PAPR reduction of OQAM-OFDM signal using optimized clipping and filter technique, in 2015 International Conference on Soft-computing & Network Security, pp. 1–6 (Coimbatore, 2015)
Z. Guo, Y. Yılmaz, X. Wang, TX centric channel estimation & low PAPR Precode for Mmwave MIMO systems. IEEE Trans. Comm. 64, 2925–2938 (2016)
K.M. Mora Navarro, E. Costa Interference between millimeter wave radio links due to rain scatter, in 2016 Radio and Science Meeting, pp. 115–116 (Fajardo, 2016)
A.H. Jafari, J. Park, R.W. Heath, Analysis of interference mitigation in mmWave communications, in 2017 International Conference on Communications (ICC), pp. 1–6 (Paris, 2017)
Y. Liuv et al., Multiple-beam selection with limit F/b of hybrid beamforming for massive MIMO systems. IEEE Access. 5, 13327–13335 (2017)
C. Wang, J. Bian, J. Sun, W. Zhang, M. Zhang, A survey of 5G channel measurements and models. Comm Surv. Tutor. 20, 3142–3168 (2018)
S. Kutty, D. Sen, Beamforming for mmWave comm: an inclusive survey. Comm Surv. Tutorials. 18, 949–973 (2016)
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Udayakumar, E., Krishnaveni, V. (2020). A Review on Interference Management in Millimeter-Wave MIMO Systems for Future 5G Networks. In: Saini, H., Srinivas, T., Vinod Kumar, D., Chandragupta Mauryan, K. (eds) Innovations in Electrical and Electronics Engineering. Lecture Notes in Electrical Engineering, vol 626. Springer, Singapore. https://doi.org/10.1007/978-981-15-2256-7_65
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