Abstract
A common problem in several wireless systems is multipath fading, which limits the performance of these systems. Different forms of diversity and combining techniques are proposed and investigated in the literature to deal with the fading problem and enhance the performance of wireless systems. This work proposes a novel best path selection policy based on the Frobenius norm of the multi-input multi-output (MIMO) fading channel matrix. I derive various insightful analytical expressions and numerically evaluate the performance of the proposed policy in terms of outage probability and spectral efficiency. When mean channel power gain is 0 dB, the proposed selection policy shows 75.78% and 71.74% improvement in average spectral efficiency for Rayleigh fading and Nakagami fading scenarios, respectively. I compare the proposed policy performance with the benchmark policy to validate its usefulness in advanced and intelligent wireless systems.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Goldsmith, A.J.: Wireless Communications. Cambridge University Press, Cambridge (2005)
Biglieri, E., et al.: MIMO Wireless Communications. Cambridge University Press, Cambridge (2007)
Tse, D., Viswanath, P.: Fundamentals of Wireless Communication. Cambridge University Press, Cambridge (2005)
Zhang, R., Zhou, J., Lan, J., Yang, B., Yu, Z.: A high-precision hybrid analog and digital beamforming transceiver system for 5G millimeter-wave communication. IEEE Access 7, 83012–83023 (2019)
Sanayei, S., Nosratinia, A.: Antenna selection in MIMO systems. IEEE Commun. Maga. 42(10), 68–73 (2004)
Asaad, S., Rabiei, A.M., Müller, R.R.: Massive MIMO with antenna selection: fundamental limits and applications. IEEE Trans. Wirel. Commun. 17(12), 8502–8516 (2018)
Molisch, A.F., Win, M.Z.: MIMO systems with antenna selection. IEEE Microw. Maga. 5(1), 46–56 (2004)
Sarvendranath, R., Mehta, N.B.: Transmit antenna selection for interference-outage constrained underlay CR. IEEE Trans. Commun. 66(9), 3772–3783 (2018)
Sarvendranath, R., Mehta, N.B.: Optimal joint antenna selection and power adaptation in underlay cognitive radios. In: Wireless Communications and Networking Conference (WCNC), pp. 3265–3270 (2013)
Naduvilpattu, S., Mehta, N.B.: Optimal energy-efficient antenna selection and power adaptation for interference-outage constrained underlay spectrum sharing. IEEE Trans. Commun. 70(9), 6341–6354 (2022)
Han, S., Oh, Y., Song, C.: A deep learning based channel estimation scheme for IEEE 802.11p systems. In: Proceedings of ICC (2019)
Acknowledgement
The author would like to express his gratitude to the EEE department of BITS Pilani, Pilani campus, for providing the required software and infrastructure facilities.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Bitragunta, S. (2023). Frobenius Norm-Based Radio Propagation Path Selection Policy and Performance Analysis. In: Barolli, L. (eds) Advanced Information Networking and Applications. AINA 2023. Lecture Notes in Networks and Systems, vol 661. Springer, Cham. https://doi.org/10.1007/978-3-031-29056-5_12
Download citation
DOI: https://doi.org/10.1007/978-3-031-29056-5_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-29055-8
Online ISBN: 978-3-031-29056-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)