Alamouti Space-Time Coding for Vehicular Communications in the Presence of Channel Estimation Errors
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Published:2023-07-12
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ISSN:2687-6167
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Container-title:Journal of Scientific Reports-A
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language:en
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Short-container-title:JSR-A
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 analytic results are verified by 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.
Publisher
Kütahya Dumlupinar Üniversitesi
Reference28 articles.
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.
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