On Efficient DCT Type-I Based Low Complexity Channel Estimation for Uplink NB-IoT Systems

Ali, Md. Sadek; Islam, Shariful; Asif, Muhammad; KHAN, Wali Ullah; Lin, Fujiang; Waqar, Omer

doi:10.1109/ACCESS.2021.3112279

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On Efficient DCT Type-I Based Low Complexity Channel Estimation for Uplink NB-IoT Systems

Ali, Md. Sadek; Islam, Shariful; Asif, Muhammad et al.

2021 • In IEEE Access

Peer Reviewed verified by ORBi

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https://hdl.handle.net/10993/54146

DOI
10.1109/ACCESS.2021.3112279

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Keywords :

NB-IoT; DCT Type-I; Channel estimation

Abstract :

[en] Channel estimation is a challenging and timely issue for the 3rd Generation Partnership Project (3GPP) standardized low power wide-area network technology named narrowband Internet of Things (NB-IoT). Channel estimation is crucial to achieve extended radio coverage, energy efficiency, coherent detection, and channel equalization for signal repetition dominated NB-IoT uplink transmission. The NB-IoT inherits simplified baseband radio frequency processing, physical channels, reference signal structure, and numerology from existing Long Term Evolution (LTE) systems to save power and costs. Thus, channel estimation methods extensively employed in LTE systems may not be applied to the NB-IoT uplink systems. In this paper, efficient discrete cosine transform type-I (DCT-I)-based transform-domain channel estimation approaches are proposed by modifying the original definition of DCT-I. The proposed methods can mitigate the problems experienced in the discrete Fourier transform (DFT)-based channel estimation, such as signal aliasing error, and border effect. The proposed approaches improve channel estimation precision by reducing signal distortion from the high-frequency region in the time-domain when non-sample-spaced path delays exist in multipath fading channels. Signal aliasing error experienced from the virtual subcarriers is also minimized with the anticipated schemes. The proposed methods are applied on simple least squares (LS) estimates in time-domain to eliminate estimation noise. The viability of the proposed estimators is verified as compared to the conventional LS, DFT-based de-noising LS, and standard DCT-I based methods through extensive numerical simulations. Based on the numerical simulations, the proposed estimators show better mean square error and bit error rate performances than their competitors in extremely low coverage conditions.

Disciplines :

Electrical & electronics engineering

Author, co-author :

Ali, Md. Sadek

Islam, Shariful

Asif, Muhammad

KHAN, Wali Ullah ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom

Lin, Fujiang

Waqar, Omer

External co-authors :

yes

Language :

English

Title :

On Efficient DCT Type-I Based Low Complexity Channel Estimation for Uplink NB-IoT Systems

Publication date :

September 2021

Journal title :

IEEE Access

ISSN :

2169-3536

Publisher :

Institute of Electrical and Electronics Engineers, Piscataway, United States - New Jersey

Peer reviewed :

Peer Reviewed verified by ORBi

Focus Area :

Security, Reliability and Trust

Additional URL :

https://ieeexplore-ieee-org.proxy.bnl.lu/document/9536691

Available on ORBilu :

since 25 January 2023

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Bibliography

M. Chen, Y. Miao, Y. Hao, and K. Hwang, "Narrowband Internet of Things," IEEE Access, vol. 5, pp. 20557-20577, 2017.
W. U. Khan, X. Li, A. Ihsan, M. A. Khan, V. G. Menon, and M. Ahmed, "NOMA-enabled optimization framework for next-generation small-cell IoV networks under imperfect SIC decoding," IEEE Trans. Intell. Transp. Syst., early access, Jun. 29, 2021, doi: 10.1109/TITS.2021.3091402.
W. Yang, M. Wang, J. Zhang, J. Zou, M. Hua, T. Xia, and X. You, "Narrowband wireless access for low-power massive Internet of Things: A bandwidth perspective," IEEE Wireless Commun., vol. 24, no. 3, pp. 138-145, Jun. 2017.
A. Azari, C. Stefanovic, P. Popovski, and C. Cavdar, "On the latencyenergy performance of NB-IoT systems in providing wide-area IoT connectivity," IEEE Trans. Green Commun. Netw., vol. 4, no. 1, pp. 57-68, Mar. 2020, doi: 10.1109/TGCN.2019.2948591.
M. S. Ali, Y. Li, M. K. H. Jewel, O. J. Famoriji, and F. Lin, "Channel estimation and peak-to-average power ratio analysis of narrowband Internet of Things uplink systems," Wireless Commun. Mobile Comput., vol. 2018, pp. 1-15, Jul. 2018.
G. A. Akpakwu, B. J. Silva, G. P. Hancke, and A. M. Abu-Mahfouz, "A survey on 5G networks for the Internet of Things: Communication technologies and challenges," IEEE Access, vol. 6, pp. 3619-3647, 2017.
W. U. Khan, F. Jameel, X. Li, M. Bilal, and T. A. Tsiftsis, "Joint spectrum and energy optimization of NOMA-enabled small-cell networks with QoS guarantee," IEEE Trans. Veh. Technol., vol. 70, no. 8, pp. 8337-8342, Aug. 2021, doi: 10.1109/TVT.2021.3095955.
A. U. Khan, M. Tanveer, W. U. Khan, J. Nebhen, X. Li, M. Zeng, and O. A. Dobre, "An enhanced spectrum reservation framework for heterogeneous users in CR-enabled IoT networks," IEEE Wireless Commun. Lett., early access, Aug. 18, 2021, doi: 10.1109/LWC.2021.3105728.
W. U. Khan, M. A. Javed, T. N. Nguyen, S. Khan, and B. M. Elhalawany, "Energy-efficient resource allocation for 6G backscatter-enabled NOMA IoV networks," TechRxiv, 2021, doi: 10.36227/techrxiv.15133902.v1.
N. Mangalvedhe, R. Ratasuk, and A. Ghosh, "NB-IoT deployment study for low power wide area cellular IoT," in Proc. IEEE 27th Annu. Int. Symp. Pers., Indoor, Mobile Radio Commun. (PIMRC), Sep. 2016, pp. 1-6.
Y. D. Beyene, R. Jantti, K. Ruttik, and S. Iraji, "On the performance of narrowband Internet of Things (NB-IoT)," in Proc. IEEE WCNC, Mar. 2017, pp. 1-6.
Y. Liu, Z. Tan, H. Hu, L. J. Cimini, and G. Y. Li, "Channel estimation for OFDM," IEEE Commun. Surveys Tuts., vol. 16, no. 4, pp. 1891-1908, 4th Quart., 2014.
A. Tomasoni, D. Gatti, S. Bellini, M. Ferrari, and M. Siti, "EfficientOFDM channel estimation via an information criterion," IEEE Trans. Wireless Commun., vol. 12, no. 3, pp. 1352-1362, Mar. 2013.
Y. S. Cho, J. Kim, and W. Y. Y. C.-G. Kang, MIMO-OFDM Wireless Communications With MATLAB. Hoboken, NJ, USA: Wiley, 2010.
S. Park, J. W. Choi, J.-Y. Seol, and B. Shim, "Expectation-maximizationbased channel estimation for multiuser MIMO systems," IEEE Trans. Commun., vol. 65, no. 6, pp. 2397-2410, Jun. 2017.
C.-Y. Wu, W.-J. Huang, and W.-H. Chung, "Low-complexity semiblind channel estimation in massive MU-MIMO systems," IEEE Trans. Wireless Commun., vol. 16, no. 9, pp. 6279-6290, Sep. 2017.
R. Jeya and B. Amutha, "Optimized semiblind sparse channel estimation algorithm for MU-MIMO OFDM system," Comput. Commun., vol. 146, pp. 103-109, Oct. 2019.
N. Al-Dhahir, H. Minn, and S. Satish, "Optimum DCT-based multicarrier transceivers for frequency-selective channels," IEEE Trans. Commun., vol. 54, no. 4, pp. 911-921, May 2006.
C. He, L. Zhang, J. Mao, A. Cao, P. Xiao, and M. A. Imran, "Performance analysis and optimization of DCT-based multicarrier system on frequencyselective fading channels," IEEE Access, vol. 6, pp. 13075-13089, 2018.
C. He, A. Cao, L. Xiao, L. Zhang, P. Xiao, and K. Nikitopoulos, "Enhanced DCT-OFDM system with index modulation," IEEE Trans. Veh. Technol., vol. 68, no. 5, pp. 5134-5138, May 2019.
M. Zhou, B. Jiang, T. Li, W. Zhong, and X. Gao, "DCT-based channel estimation techniques for LTE uplink," in Proc. IEEE 20th Int. Symp. Pers., Indoor Mobile Radio Commun., Sep. 2009, pp. 1034-1038.
H. Kobayashi and K. Mori, "Proposal of OFDM channel estimation method using discrete cosine tramsform," in Proc. IEEE 15th Int. Symp. Pers., Indoor Mobile Radio Commun., Sep. 2004, pp. 1797-1801.
Evolved Universal Terrestrial Radio Access (E-UTRA); Physical Layer Procedures, Standard TS 36.213, V 15.2.0, Rel. 15, 3GPP Tech. Spec., Jun. 2018.
Evolved Universal Terrestrial Radio Access (E-UTRA); Physical Channels and Modulation, Standard TS 36.211, V15.2.0, Rel. 15, 3GPP, Tech. Spec., Jun. 2018.
M. S. Ali, M. K. H. Jewel, and F. Lin, "An efficient channel estimation technique in NB-IoT systems," in Proc. IEEE Int. Conf. Integr. Circuits, Technol. Appl. (ICTA), Nov. 2018, pp. 22-23.
M. Morelli and U. Mengali, "A comparison of pilot-aided channel estimation methods for OFDM systems," IEEE Trans. Signal Process., vol. 49, no. 12, pp. 3065-3073, Dec. 2001.
O. Edfors, M. Sandell, J. J. van de Beek, S. K. Wilson, and P. O. Börjesson, "OFDM channel estimation by singular value decomposition," IEEE Trans. Commun., vol. 46, no. 7, pp. 931-939, Jul. 1998.
M. Noh, Y. Lee, and H. Park, "A low complexity LMMSE channel estimation for OFDM," in Proc. IEE Commun., vol. 153, no. 5, Oct. 2006, pp. 645-650.
Y. Choi, J. H. Bae, and J. Lee, "Low-complexity 2D LMMSE channel estimation for OFDM systems," in Proc. IEEE 82nd Veh. Technol. Conf. (VTC-Fall), Sep. 2015, pp. 1-5.
O. Edfors, M. Sandell, J.-J. van de Beek, S. K. Wilson, and P. O. Börjesson, "Analysis of DFT-based channel estimators for OFDM," Wireless Pers. Commun., vol. 12, no. 1, pp. 55-70, 2000.
G. Huang, A. Nix, and S. Armour, "DFT-based channel estimation and noise variance estimation techniques for single-carrier FDMA," in Proc. IEEE 72nd Veh. Technol. Conf. (Fall), Sep. 2010, pp. 1-5.
X. Hou, Z. Zhang, and H. Kayama, "DMRS design and channel estimation for LTE-advanced MIMO uplink," in Proc. IEEE Veh. Technol. Conf., Sep. 2009, pp. 1-5.
H. Sahlin and A. Persson, "Aspects of MIMO channel estimation for LTE uplink," in Proc. IEEE Veh. Technol. Conf. (VTC Fall), Sep. 2011, pp. 1-5.
F. Liu, H. Wei, H. Zhao, and Y. Tang, "A novel channel estimation for MIMO SC-FDMA systems," in Proc. ICCCAS, vol. 1, Nov. 2013, pp. 96-99.
X. Zhang and Y. Li, "Optimizing the MIMO channel estimation for LTEadvanced uplink," in Proc. Int. Conf. Connected Vehicles Expo (ICCVE), Dec. 2012, pp. 71-76.
Y. Zhao and A. Huang, "A novel channel estimation method for OFDM mobile communication systems based on pilot signals and transformdomain processing," in Proc. IEEE 47th Veh. Technol. Conf. Technol. Motion, May 1997, pp. 931-939.
Y. Kang, K. Kim, and H. Park, "Efficient DFT-based channel estimation for OFDM systems on multipath channels," IET Commun., vol. 1, no. 2, pp. 197-202, Apr. 2007.
Q. Zhang, X. Zhu, T. Yang, and J. Liu, "An enhanced DFT-based channel estimator for LTE-A uplink," IEEE Trans. Veh. Technol., vol. 62, no. 9, pp. 4690-4696, Nov. 2013.
L. Zhang, A. Ijaz, P. Xiao, and R. Tafazolli, "Channel equalization and interference analysis for uplink narrowband Internet of Things (NB-IoT)," IEEE Commun. Lett., vol. 21, no. 10, pp. 2206-2209, Oct. 2017.
M. S. Ali, Y. Li, S. Chen, and F. Lin, "On improved DFT-based lowcomplexity channel estimation algorithms for LTE-based uplink NB-IoT systems," Comput. Commun., vol. 149, pp. 214-224, Jan. 2020.
E. G. Larsson and J. Li, "Preamble design for multiple-antenna OFDMbased WLANs with null subcarriers," IEEE Signal Process. Lett., vol. 8, no. 11, pp. 285-288, Nov. 2001.
P. Tan and N. C. Beaulieu, "A comparison of DCT-based OFDM and DFT-based OFDM in frequency offset and fading channels," IEEE Trans. Commun., vol. 54, no. 11, pp. 2113-2125, Nov. 2006.
S. Pratschner, E. Zöchmann, and M. Rupp, "Low complexity estimation of frequency selective channels for the LTE-A uplink," IEEE Wireless Commun. Lett., vol. 4, no. 6, pp. 673-676, Dec. 2015.
D. Takeda, Y. Tanabe, and K. Sato, "Channel estimation scheme with low complexity discrete cosine transformation in MIMO-OFDM system," in Proc. IEEE 65th Veh. Technol. Conf. (VTC-Spring), Apr. 2007, pp. 486-490.
F. Cruz-Roldan, M. E. Dominguez-Jimenez, G. S. Vidal, P. Amo-Lopez, M, Blanco-Velasco, and A. Bravo-Santos, "On the use of discrete cosine transforms for multicarrier communications," IEEE Trans. Signal Process., vol. 60, no. 11, pp. 6085-6090, Nov. 2012.
W. U. Khan, J. Liu, F. Jameel, V. Sharma, R. Jantti, and Z. Han, "Spectral efficiency optimization for next generation NOMA-enabled IoT networks," IEEE Trans. Veh. Technol., vol. 69, no. 12, pp. 15284-15297, Dec. 2020, doi: 10.1109/TVT.2020.3038387.
F. Jameel, S. Zeb, W. U. Khan, S. A. Hassan, Z. Chang, and J. Liu, "NOMA-enabled backscatter communications: Toward battery-free IoT networks," IEEE Internet Things Mag., vol. 3, no. 4, pp. 95-101, Dec. 2020, doi: 10.1109/IOTM.0001.2000055.
W. U. Khan, F. Jameel, N. Kumar, R. Jantti, and M. Guizani, "Backscatterenabled efficient V2X communication with non-orthogonal multiple access," IEEE Trans. Veh. Technol., vol. 70, no. 2, pp. 1724-1735, Feb. 2021, doi: 10.1109/TVT.2021.3056220.
F. Jameel, W. U. Khan, N. Kumar, and R. Jantti, "Efficient powersplitting and resource allocation for cellular V2X communications," IEEE Trans. Intell. Transp. Syst., vol. 22, no. 6, pp. 3547-3556, Jun. 2021, doi: 10.1109/TITS.2020.3001682.
W. U. Khan, X. Li, M. Zeng, and O. A. Dobre, "Backscatter-enabled NOMA for future 6G systems: A new optimization framework under imperfect SIC," IEEE Commun. Lett., vol. 25, no. 5, pp. 1669-1672, May 2021, doi: 10.1109/LCOMM.2021.3052936.
X. Li, Y. Zheng, W. U. Khan, M. Zeng, D. Li, G. K. Ragesh, and L. Li, "Physical layer security of cognitive ambient backscatter communications for green Internet-of-Things," IEEE Trans. Green Commun. Netw., vol. 5, no. 3, pp. 1066-1076, Sep. 2021, doi: 10.1109/TGCN.2021.3062060.
M. S. Ali, M. K. H. Jewel, Y. Li, and F. Lin, "Frequency-domain channel equalisation for LTE-based uplink narrowband Internet of Things systems," IET Commun., vol. 13, no. 3, pp. 281-288, Feb. 2019.
V. Sanchez, P. Garcia, A. M. Peinado, J. C. Segura, and A. J. Rubio, "Diagonalizing properties of the discrete cosine transforms," IEEE Trans. Signal Process., vol. 43, no. 11, pp. 2631-2641, Nov. 1995.
K. R. Rao, and P. Yip, Discrete Cosine Transform: Algorithms, Advantages, Applications. Boston, MA, USA: Academic, 1990.
W.-H. Chen, C. Smith, and S. Fralick, "A fast computational algorithm for the discrete cosine transform," IEEE Trans. Commun., vol. COM-25, no. 9, pp. 1004-1009, Sep. 1977.
Z. Wang, "Fast algorithms for the discrete w transform and for the discrete Fourier transform," IEEE Trans. Acoust., Speech, Signal Process., vol. ASSP-32, no. 4, pp. 803-816, Aug. 1984.
Evolved Universal Terrestrial Radio Access (E-UTRA); GSM/EDGE Radio Transmission and Reception, TS 45.005, V 14.1.0, Rel. 14, 3GPP, Tech. Spec., Jun. 2017.