ALAMOUTI SPACE-TIME CODING FOR VEHICULAR COMMUNICATIONS IN THE PRESENCE OF CHANNEL ESTIMATION ERRORS

Year 2023, , 76 - 93, 30.09.2023

Serdar Özgür Ata

https://doi.org/10.59313/jsr-a.1322318

Abstract

In this paper, the error performance of the Alamouti space-time coding (STC) scheme is investigated for vehicle-to-vehicle (V2V) communication systems over imperfect cascaded fading channels. In vehicular communication systems, perfect knowledge of the channel state information is not available to the users at all times due to the rapid movement of communicating vehicles and fast change of the rich scattering environment which makes the fading effects in wireless channels more severe. Therefore, in the analysis, we consider the erroneous estimation of the channel gain, which is more realistic for practical scenarios. For this purpose, we first derive the moment-generation function (MGF) of the channel fading coefficient with estimation error in the case of the cascaded Nakagami-m fading conditions. Then, using the MGF, we obtain the closed-form symbol-error-rate (SER) expressions of Alamouti STC with two transmitting and L receiving antennas for the M-PSK and M-QAM modulation schemes. Then, the exact ergodic capacity expression is derived for the proposed system. Furthermore, the analytical results are verified through Monte-Carlo simulations. Numerical results show that the SER performance of V2V communication systems can be improved significantly by using Alamouti STC even in case of harsh fading conditions and full channel-state information is not available due to estimation errors.

Keywords

Alamouti space-time coding, cascaded fading channels, channel estimation error, ergodic capacity, symbol-error rate, vehicular communications

References

• [1] Gyawali, S., Xu, S., Qian, Y. and Hu, R.Q., (2021). Challenges and Solutions for Cellular Based V2X Communications, IEEE Communications Surveys and Tutorials, 23-1, 222-255.
• [2] Kim, J., Choi, Y.-J., Noh, G. and Chung, H., (2023). On the Feasibility of Remote Driving Applications Over mmWave 5G Vehicular Communications: Implementation and Demonstration, IEEE Transactions on Vehicular Technology, 72-2, 2009-2023.
• [3] Guo, C., Liang, L. and Li, G.Y., (2019). Resource Allocation for Vehicular Communications with Low Latency and High Reliability, IEEE Transactions on Wireless Communications, 18-8, 3887-3902.
• [4] Liu, R., Liu, A., Qu, Z. and Xiong, N.N., (2023). An UAV-Enabled Intelligent Connected Transportation System with 6G Communications for Internet of Vehicles, IEEE Transactions on Intelligent Transportation Systems, 24-2, 2045-2059.
• [5] Lv, Z., Qiao, L. and You, I., (2021). 6G-Enabled Network in Box for Internet of Connected Vehicles, IEEE Transactions on Intelligent Transportation Systems, 22-8, 5275-5282.
• [6] Xu, X., Yao, L., Bilal, M., Wan, S., Dai, F. and Choo, K.-K.R., (2022). Service Migration Across Edge Devices in 6G-Enabled Internet of Vehicles Networks, IEEE Internet of Things Journal, 9-3, 1930-1937.
• [7] Pan, Q., Wu, J., Nebhen, J., Bashir, A.K., Su, Y. and Li, J., (2022). Artificial Intelligence-Based Energy Efficient Communication System for Intelligent Reflecting Surface-Driven VANETs, IEEE Transactions on Intelligent Transportation Systems, 23-10, 19714-19726.
• [8] Tang, F., Kawamoto, Y., Kato, N. and Liu, J., (2020). Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches, Proceedings of the IEEE, 108-2, 292-307.
• [9] Noor-A-Rahim, M., Liu, Z., Lee, H., Khyam, M.O., He, J., Pesch, D., Mousser, K. and Poor, H.V., (2022). 6G for Vehicle-to-Everything (V2X) Communications: Enabling Technologies, Challenges, and Opportunities, Proceedings of the IEEE, 110-6, 712-734.
• [10] Boulogeorgos, A.-A.A., Sofotasios, P.C., Selim, B., Muhaidat, S., Karagiannidis, G.K. and Valkama, M., (2016). Effects of RF Impairments in Communications Over Cascaded Fading Channels, IEEE Transactions on Vehicular Technology, 65-11, 8878-8894.
• [11] Zhang, H., Liao, Z., Shi, Z., Yang, G., Dou, Q. and Ma, S., (2022). Performance Analysis of MIMO-HARQ Assisted V2V Communications with Keyhole Effect, IEEE Transactions on Communications, 70-5, 3034-3046.
• [12] Alieiev, R., Hehn, T., Kwoczek, A. and Kürner, T., (2018). Predictive Communication and Its Application to Vehicular Environments: Doppler-Shift Compensation, IEEE Transactions on Vehicular Technology, 67-8, 7380-7393.
• [13] Karagiannidis, G.K., Sagias, N.C., and Mathiopoulos, P.T., (2007). N*Nakagami: A novel stochastic model for cascaded fading channels, IEEE Transactions on Communications, 55-8, 1453–1458.
• [14] Jaiswal, N. and Purohit, N., (2021). Performance Analysis of NOMA-Enabled Vehicular Communication Systems with Transmit Antenna Selection Over Double Nakagami-m Fading, IEEE Transactions on Vehicular Technology, 70-12, 12725-12741.
• [15] Zhang, C., Ge, J., Li, J. and Hu, Y., (2013). Performance analysis for mobile relay-based M2M two-way AF relaying in N* Nakagami-m fading, Electronics Letters, 49-5, 344–346.
• [16] Ata, S.Ö. And Altunbaş, I., (2016). Fixed-gain AF PLNC over cascaded Nakagami-m fading channels for vehicular communications, AEU-International Journal of Electronics and Communications, 70-4, 510–516.
• [17] Eshteiwi, K., Sleim, B. and Kaddoum, G., (2020). Full Duplex of V2V Cooperative Relaying over Cascaded Nakagami-m Fading Channels, International Symposium on Networks, Computers, and Communications, Montreal, Canada, 1-5.
• [18] Baek, S., Lee, I. and Song, C., (2019). A New Data Pilot-Aided Channel Estimation Scheme for Fast Time-Varying Channels in IEEE 802.11p Systems, IEEE Transactions on Vehicular Technology, 68-5, 5169-5172.
• [19] Xu, C., An, J., Bai, T., Sugiura, S., Maunder, R.G., Wang, Z., Yang, L.L., Hanzo, L., (2023). Channel Estimation for Reconfigurable Intelligent Surface Assisted High-Mobility Wireless Systems, IEEE Transactions on Vehicular Technology, 72-1, 718-734.
• [20] Liu, T.-H., (2015). Analysis of the Alamouti STBC MIMO System with Spatial Division Multiplexing Over the Rayleigh Fading Channel, IEEE Transactions on Wireless Communications, 14-9, 5156-5170.
• [21] Khattabi, Y.M. and Matalgah, M.M., (2018). Alamouti-OSTBC Wireless Cooperative Networks With Mobile Nodes and Imperfect CSI Estimation, IEEE Transactions on Vehicular Technology, 67-4, 3447-3456.
• [22] Zhu, J., Xiao, L., Xiao, P., Quddus, A., He, C. and Lu, L., (2021). Differential STBC-SM Scheme for Uplink Multi-User Massive MIMO Communications: System Design and Performance Analysis, IEEE Transactions on Vehicular Technology, 70-10, 10236-10251.
• [23] Alamouti, S.M., (1998). Simple Transmit Diversity Technique for Wireless Communications, IEEE Journal on Selected Areas in Communications, 16-8, 1451-1458.
• [24] Gradshtein, I.S. and Ryzhik, I.M., (2015). Table of Integrals, Series, and Products, 8th ed., Academic Press, New York.
• [25] Prudnikov, A.P., Brychkov, Y.A. and Marichev, O.I., (1986). Integrals and Series - Vol. 3 - More Special Functions. CRC Press.
• [26] Simon, M. K. and Alouini, M.S., (2005). Digital Communication over Fading Channels, 2nd ed., Wiley & Sons.
• [27] Mckay, M.R., Zanella, A., Collings, I.B. and Chiani, M., (2009). Error probability and SINR analysis of optimum combining in rician fading, IEEE Transactions on Communications, 57-3, 676-687.
• [28] Yilmaz, F. and Alouini, M.S., (2012). A Unified MGF-Based Capacity Analysis of Diversity Combiners over Generalized Fading Channels, IEEE Transactions on Communications, 60-3, 862-875.