Design of Hybrid Precoder for mm-Wave MIMO system based on Generalized Triangular Decomposition Method

Sammaiah Thurpati, P Muthuchidambaranathan

Abstract


Hybrid precoding techniques are lately involved a lot of interest for millimeter-wave (mmWave) massive MIMO systems is due to the cost and power consumption advantages they provide. However, existing hybrid precoding based on the singular value decomposition (SVD) necessitates a difficult bit allocation to fit the varying signal-to-noise ratios (SNRs) of altered sub-channels.  In this paper, we propose a generalized triangular decomposition (GTD)-based hybrid precoding to avoid the complicated bit allocation The development of analog and digital precoders is the reason for the high level of design complexity in analog precoder architecture, which is based on the OMP algorithm, is very non-convex, and so has a high level of complexity. As a result, we suggest using the GTD method to construct hybrid precoding for mmWave mMIMO systems. Simulated studies as various system configurations are used to examine the proposed design. In addition, the archived findings are compared to a hybrid precoding approach in the classic OMP algorithm. The proposed Matrix Decomposition's simulation results of signal-to-noise ratio vs spectral efficiencies


Full Text:

PDF

References


El Ayach, Omar, et al. ”Spatially sparse precoding in millimeter wave MIMO systems.” IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 13, NO. 3, MARCH 2014

http://doi.org/10.1109/TWC.2014.011714.130846 .

Zhang, Dan, et al. ”SVD-based low-complexity hybrid precoding for

millimeter-wave MIMO systems.” IEEE Communications Letters 22.10

(2018): pp.2176-2179. http://doi.org/10.1109/LCOMM.2018.2865731 .

F. Zhang and M. Wu, “Hybrid analog-digital precoding for millimeter

wave MIMO Systems,” in 2017 IEEE 17th International Conference

on Communication Technology (ICCT), Chengdu, China, aug 2017.

http://doi.org/10.1155/2021/5532939.

X. Liu, X. Li, S. Cao, et al., “Hybrid precoding for massive mmWave

MIMO systems,” IEEE Access, vol. 7, pp. 33577– 33586, 2019.

E. Zhang and C. Huang, “On achieving an optimal rate of digital

precoder by RF-baseband codesign for MIMO systems,” in Proc. 80th

IEEE Veh. Technol. Conf. (VTC Fall). Vancouver, BC, Sept. 2014, pp.

–5. https://doi.org/10.1109/VTCFall.2014.6966076 .

F. Sohrabi and W. Yu, “Hybrid digital and analog beamforming design for large-scale antenna arrays,” IEEE J. Sel. Topics Signal Process., vol. 10, no. 3, pp. 501–513, Apr. 2016.

https://doi.org/10.1109/JSTSP.2016.2520912 .

C. Rusu, R. Mendez-Rial, N. Gonz ` alez-Prelcic, and R. W. Heath, “Low ´

complexity hybrid precoding strategies for millimeter-wave communication systems,” IEEE Trans. Wireless Commun., vol. 15, no. 12, pp.

–8393, Dec. 2016. http://doi.org/10.1109/TWC.2016.2614495 .

R. Rajashekar and L. Hanzo, “Hybrid beamforming in mmwave MIMO systems having a finite input alphabet,” IEEE

Trans. Commun., vol. 64, no. 8, pp. 3337–3349, Aug. 2016.

http://doi.org/10.1109/TCOMM.2016.2580671 .

Zhang, Didi, et al. ”Hybridly connected structure for hybrid

beamforming in mmWave massive MIMO systems.” IEEE

Transactions on Communications 66.2 (2017): 662-674.

http://doi.org/10.1109/TCOMM.2017.2756882 .

Lu. Yiqi, et al. ”Improved hybrid precoding scheme for mmWave

large-scale MIMO systems.” IEEE Access 7 (2019): 12027-12034.

http://doi.org/10.1109/ACCESS.2019.2892136 .

Jindal, Nihar. ”MIMO broadcast channels with finite-rate feedback.”

IEEE Transactions on information theory 52.11 (2006): 5045-5060.

http://doi.org/10.1109/TIT.2006.883550 .

Rusek, Fredrik, et al. ”Scaling up MIMO: Opportunities and challenges

with very large arrays.” IEEE signal processing magazine 30.1 (2012):

-60. http://doi.org/10.1109/MSP.2011.2178495 .

A. S. Lewis and J. Malick, “Alternating projections on manifolds,”

Mathematics of Operations Research, vol. 33, no. 1, pp. 216–234, 2008.

R. Escalante and M. Raydan, Alternating Projection Methods.

Society for Industrial and Applied Mathematics, 2011, vol. 8.

https://doi.org/10.1137/9781611971941.

Y. Jiang, W. Hager, and J. Li, “The generalized triangular decomposition,” Mathematics of computation, vol. 77, no. 262, pp. 1037–1056,

C Weng, C.-Y. Chen, and P. Vaidyanathan, “Generalized

triangular decomposition in transform coding,” IEEE transactions

on signal processing, vol. 58, no. 2, pp. 566–574, 2009.

http://doi.org/10.1109/TSP.2009.2031733 .

Y. Kabalci and H. Arslan, “Hybrid precoding for mm-wave massive

MIMO systems with generalized triangular decomposition,” 2018 IEEE

th Wireless and Microwave Technology Conference (WAMICON), pp.

–6, 2018.

M. Su, Y. Huang, C. Zhang, J. Zhang, and Y. Li, “Hybrid Precoder

Design for Millimeter Wave Systems Based on Geometric Construction,”

, pp. 1–6. https://doi.org/10.1109/GLOCOM.2017.8254858.

M. Xiao et al., “Millimeter-Wave Communications for Future Mobile

Networks,” IEEE J. Sel. Areas Commun., vol. 35, no. 9, pp. 1909–1935,

Sep. 2017. https://doi.org/10.1109/JSAC.2017.2719924.

W. Yuan, V. Kalokidou, S. M. D. Armour, A. Doufexi, and M. A. Beach,

“Application of Non-Orthogonal Multiplexing to mmWave Multi-User

Systems,” 2017, pp. 1–6.

S. Yong and C. Chong, “An overview of multigigabit wireless through

millimeter wave technology: potentials and technical challenges,”

EURASIP J. Wireless Commun. Netw., vol. 2007, no. 1, pp. 50–50,

https://doi.org/10.1155/2007/78907.

R. Daniels and R. W. Heath, Jr., “60 GHz wireless communications: emerging requirements and design recommendations,”

IEEE Veh. Technol. Mag., vol. 2, no. 3, pp. 41–50, 2007.

http://doi.org/10.1109/MVT.2008.915320


Refbacks

  • There are currently no refbacks.


International Journal of Electronics and Telecommunications
is a periodical of Electronics and Telecommunications Committee
of Polish Academy of Sciences

eISSN: 2300-1933