Controlled Wireless Channel using Multi-Antenna Multi-IRS Assisted Communication System: A Comprehensive Performance Analysis

Authors

Keywords:

multi-IRS multi-antenna, η −μ fading channel, BER, EC, EE

Abstract

To address societal demands, upcoming communication systems must manage multiple tasks simultaneously, thereby increasing circuit complexity and error rates. These challenges can be mitigated with intelligent reflecting surface (IRS) by utilizing cost-effective reconfigurable metamaterials to manipulate wireless propagation channels. The study investigates the performance analysis of a multi-antenna multi-IRS assisted communication system in a generalized η − μ fading channel assuming non-line-of-sight (NLOS) scenario between the base station (BS) and the user equipment (UE) using the moment-generating function (MGF) approach. The theoretical expressions for the bit error rate (BER), and Ergodic capacity (EC) are derived for the system model under consideration. Energy efficiency (EE) was also evaluated for completeness. A mean Monte-Carlo (MC) transceiver simulation test bed is provided to validate the obtained theoretical expressions. The derived theoretical formulae cover Nakagami-m, Nakagami-q, and Rayleigh channels as corner cases to cover the practical indoor and outdoor scenarios. Improved performance is observed with more antennas at the BS and UE, more IRSs, more reflecting elements, IRS placement near BS or UE, high μ, and low η values. It was noticed that the triple-IRS system offers better BER, enhanced EC, more energy efficient than the single-IRS system, and achieves 8 dB gain at BER point of 10−5, 2.82 (b/s/Hz) improvement in EC, and 3.5 times energy efficient at average achievable rate 25 (b/s/Hz). Moreover, employing multiple antennas achieves 6 dB improvement at BER value of 10−5, enhanced achievable rate, and in turn improves energy efficiency. Lastly, placing the IRS either near BS or UE is more beneficial than setting it at mid-way where the BER reduces from 10−2 to 10−9, EC of 2 (b/s/Hz) gain, and can design a 3 times better energy efficient system.

Downloads

Download data is not yet available.

Author Biographies

Suresh Penchala, National Institute of Technology Meghalaya

Suresh Penchala received his B.Tech and M.Tech degrees in Electronics and Communication Engineering from JNTU Hyderabad, Telangana, India, in 2005 and 2008 respectively. He is currently pursuing a Ph.D. degree at the National Institute of Technology, Meghalaya, India. His research interests include intelligent Reflecting Surfaces, wireless communication beyond 5G, and signal processing for communication. He is an associate member of the Institute of Electronics and Telecommunication Engineers (IETE), India.

Shravan Kumar Bandari, National Institute of Technology Meghalaya

Shravan Kumar bandari received his Ph.D. degree from, NIT Warangal, India in 2018. Received postdoctoral fellowship from GIGA Korea project at Seoul National University, South Korea, 2018-2019. Received ERASMUS-MUNDUS Euphrates scholar ship from the European Union under the doctoral mobility programme at TEI of Patras, Greece (now changed to University of the Peloponnese), 2014 2015. He is twice scholarship holder from MHRD India. Since 2019, he has been with the NIT Meghalaya, India, as an Assistant Professor of Electronics and Communication Engineering. His research interests include future wireless systems, multi-carrier waveforms for next-generation wireless systems, multi-antenna/multi-user channels, compressed sensing, and cognitive radio

V. Venkata Mani, National Institute of Technology Warangal

V. Venkata Mani received the B.E. and M.E. degrees in electronics and communication engineering from the College of Engineering, Andhra Unive sity, India, in 1992 and 2003, respectively, and the Ph.D. degree in electrical engineering from the IIT Delhi, India, in 2009. She joined the Electronics and Communication Engineering Department, at NIT Warangal, in April 2008, as an Assistant Professor, where she has been a Professor, since July 2022. She has numerous publications in credit in national and international conferences and journals. Her research interests include wireless communication and signal processing for communication. She is a fellow of the IETE, India.

Anastasios Drosopoulos, University of Peloponnese

Anastasios Drosopoulos received his BSc (Physics) from the University of Patras, Greece, and the PhD (Electrical Engineering), from McMaster, Canada. From 1991 to 1997, he worked at the Defence Research Establishment, Ottawa, Canada, on Synthetic Aperture Radar Applications. From 1997 to 1999 he was with Nortel, Ottawa, Canada, in the area of optical communications. From 1999 to 2003 he was with Atmel Multimedia and Communications, Patras, Greece branch, in wireless communications. In 2003 he joined the Electrical Engineering Department of TEI of Western Greece (prior TEI of Patras) as a professor. With the amalgamation of TEI with the University of Peloponnese (2019) this became the Department of Electrical and Computer Engineering. His current interests include applications and modelling of electrical energy and communication systems

References

Y. Liu, X. Liu, X. Mu, T. Hou, J. Xu, M. Di Renzo, and N. Al-Dhahir,“Reconfigurable intelligent surfaces: Principles and opportunities,” IEEE communications surveys & tutorials, vol. 23, no. 3, pp. 1546–1577,

, doi:10.1109/COMST.2021.3077737.

F. A. P. de Figueiredo, “An overview of massive mimo for 5g and 6g,” IEEE Latin America Transactions, vol. 20, no. 6, pp. 931–940, 2022, doi: 10.1109/TLA.2022.9757375.

Q. Wu, S. Zhang, B. Zheng, C. You, and R. Zhang, “Intelligent reflecting surface-aided wireless communications: A tutorial,” IEEE transactions on communications, vol. 69, no. 5, pp. 3313–3351, 2021,

doi:10.1109/TCOMM.2021.3051897.

M. A. ElMossallamy, H. Zhang, L. Song, K. G. Seddik, Z. Han, and G. Y. Li, “Reconfigurable intelligent surfaces for wireless communications: Principles, challenges, and opportunities,” IEEE Transactions on

Cognitive Communications and Networking, vol. 6, no. 3, pp. 990–1002, 2020, doi: 10.1109/TCCN.2020.2992604.

S. Gong, X. Lu, D. T. Hoang, D. Niyato, L. Shu, D. I. Kim, and Y.-C. Liang, “Toward smart wireless communications via intelligent reflecting surfaces: A contemporary survey,” IEEE Communications

Surveys & Tutorials, vol. 22, no. 4, pp. 2283–2314, 2020, doi: 10.1109/COMST.2020.3004197.

E. Bjo¨rnson, O¨ . O¨ zdogan, and E. G. Larsson, “Intelligent reflecting surface versus decode-and-forward: How large surfaces are needed to beat relaying?” IEEE Wireless Communications Letters, vol. 9, no. 2,

pp. 244–248, 2019, doi: 10.1109/LWC.2019.2950624.

O¨ . O¨ zdogan, E. Bjo¨rnson, and E. G. Larsson, “Intelligent reflecting surfaces: Physics, propagation, and pathloss modeling,” IEEE Wireless Communications Letters, vol. 9, no. 5, pp. 581–585, 2019, doi:

1109/LWC.2019.2960779.

Y. J. Chun, S. L. Cotton, H. S. Dhillon, F. J. Lopez-Martinez, J. F. Paris, and S. K. Yoo, “A comprehensive analysis of 5g heterogeneous cellular systems operating over κ−μ shadowed fading channels,” IEEE

Transactions on Wireless Communications, vol. 16, no. 11, pp. 6995–7010, 2017, doi: 10.1109/TWC.2017.2734080.

S. Li, B. Duo, X. Yuan, Y.-C. Liang, and M. Di Renzo, “Reconfigurable intelligent surface assisted uav communication: Joint trajectory design and passive beamforming,” IEEE Wireless Communications Letters, vol. 9, no. 5, pp. 716–720, 2020, doi: 10.1109/LWC.2020.2966705.

Z. Chen, X. Ma, C. Han, and Q. Wen, “Towards intelligent reflecting surface empowered 6g terahertz communications: A survey,” China Communications, vol. 18, no. 5, pp. 93–119, 2021, doi:

23919/JCC.2021.05.007.

A. M. Salhab and M. H. Samuh, “Accurate performance analysis of reconfigurable intelligent surfaces over rician fading channels,” IEEE Wireless Communications Letters, vol. 10, no. 5, pp. 1051–1055, 2021,

doi: 10.1109/LWC.2021.3056758.

E. Basar, “Transmission through large intelligent surfaces: A new frontier in wireless communications,” in 2019 European Conference on Networks and Communications (EuCNC). IEEE, 2019, pp. 112–117,

doi: 10.1109/EuCNC.2019.8801961.

S. Penchala, M. Chaudhary, S. K. Bandari, and V. V. Mani, “Impact of nakagami-m fading channel on reconfigurable intelligent surface symbol error rate in non-line-of-sight scenarios,” in IEEE 19th India Council International Conference (INDICON), Kochi, India, 2022, pp. 1–4, doi:

1109/INDICON56171.2022.10040187.

R. Mahammad Rafi and V. Sudha, “Double reconfigurable intelligent surface to improve error performance and coverage probability of wireless communication system,” IETE Journal of Research, pp. 1–10, 2023, doi:10.1080/03772063.2023.2258533.

S. Penchala, S. K. Bandari, V. Mani, and S. K. Kondoju, “On the bit error rate analysis of log-normal fading channel in irs-setup,” in 2023 IEEE 20th India Council International Conference (INDICON), 2023,

pp. 209–213, doi: 10.1109/INDICON59947.2023.10440835.

L. Yang, Y. Yang, D. B. d. Costa, and I. Trigui, “Outage probability and capacity scaling law of multiple ris-aided networks,” IEEE Wireless Communications Letters, vol. 10, no. 2, pp. 256–260, 2021, doi:

1109/LWC.2020.3026712.

I. Yildirim, A. Uyrus, and E. Basar, “Modeling and analysis of reconfigurable intelligent surfaces for indoor and outdoor applications in future wireless networks,” IEEE transactions on communications, vol. 69, no. 2, pp. 1290–1301, 2020, doi: 10.1109/TCOMM.2020.3035391.

T. N. Do, G. Kaddoum, T. L. Nguyen, D. B. Da Costa, and Z. J. Haas, “Multi-ris-aided wireless systems: Statistical characterization and performance analysis,” IEEE Transactions on Communications, vol. 69,

no. 12, pp. 8641–8658, 2021, doi: 10.1109/TCOMM.2021.3117599.

M. D. Yacoub, “The κ-μ distribution and the η-μ distribution,” IEEE Antennas and Propagation Magazine, vol. 49, no. 1, pp. 68–81, 2007, doi: 10.1109/MAP.2007.370983.

G. R. De Lima Tejerina, C. R. N. da Silva, R. A. A. de Souza, and M. D. Yacoub, “On the extended η−μ model: New results and applications to irs-aided systems,” IEEE Transactions on Vehicular Technology, vol. 72, no. 4, pp. 4133–4142, 2022, doi: 10.1109/TVT.2022.3222064.

P. Nayeri, F. Yang, and A. Z. Elsherbeni, “Reflectarray antennas: theory, designs, and applications,” 2018.

Q. Wu and R. Zhang, “Beamforming optimization for wireless network aided by intelligent reflecting surface with discrete phase shifts,” IEEE Transactions on Communications, vol. 68, no. 3, pp. 1838–1851, 2019, doi: 10.1109/TCOMM.2019.2958916.

J. Proakis and M. Salehi, “Digital communications 5th edition mcgrawhill,” New York, 2008.

S. K. Bandari, S. S. Yadav, and V. Mani, “Analysis of gfdm in generalized η- μ fading channel: A simple probability density function approach for beyond 5g wireless applications,” AEU-International

Journal of Electronics and Communications, vol. 153, p. 154260, 2022, doi:10.1016/j.aeue.2022.154260.

M. Simon, “Alouini. ms: Digital communication over fading channels,”A John Wiley Sons.–2005.–900 p, 2005, doi: 10.1109/TIT.2008.924676. [26] I. S. Gradshteyn and I. M. Ryzhik, “Table of integrals, series, and

products,” Academic press, 2014, doi:10.1016/C2010-0-64839-5.

H. Ji, S. Park, J. Yeo, Y. Kim, J. Lee, and B. Shim, “Ultra-reliable and low-latency communications in 5g downlink: Physical layer aspects,” IEEE Wireless Communications, vol. 25, no. 3, pp. 124–130, 2018.

Q. Zhang, S. Jin, K.-K. Wong, H. Zhu, and M. Matthaiou, “Power scaling of uplink massive mimo systems with arbitrary-rank channel means,” IEEE Journal of Selected Topics in Signal Processing, vol. 8,

no. 5, pp. 966–981, 2014, doi: 10.1109/JSTSP.2014.2324534.

M. H. N. Shaikh, V. A. Bohara, A. Srivastava, and G. Ghatak, “Performance analysis of intelligent reflecting surface-assisted wireless system with non-ideal transceiver,” IEEE Open Journal of the

Communications Society, vol. 2, pp. 671–686, 2021, doi: 10.1109/OJCOMS. 2021.3068866.

Z. Yao, W. Cheng, W. Zhang, and H. Zhang, “Resource allocation for 5g-uav-based emergency wireless communications,” IEEE Journal on Selected Areas in Communications, vol. 39, no. 11, pp. 3395–3410,

, doi: 10.1109/JSAC.2021.3088684.

Published

2025-01-08

How to Cite

Penchala, S., Bandari, S. K. ., Mani, V. V., & Drosopoulos, A. . (2025). Controlled Wireless Channel using Multi-Antenna Multi-IRS Assisted Communication System: A Comprehensive Performance Analysis. IEEE Latin America Transactions, 23(2), 114–124. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/9318