认知无线电协同传输在车联网中的应用及性能分析
Application and Performance analysis of Cognitive Radio Cooperative Transmission in Internet of Vehicles
摘要: 随着通信技术与智能天线技术的快速发展，车联网得到广泛关注与研究。但频谱匮乏、通信覆盖范围有限一直困扰着车联网的发展与应用，本文将认知无线电协同传输引入到车联网系统中，通过协同传输在不增加发射功率的前提下扩大了传输范围。通过对信干噪比的分析与推导，计算出了端到端传输的中断概率；数值模拟结果表明相较于直接通信，采用认知无线电协同传输能够有效降低中断概率，提升车联网的性能。
Abstract: With the rapid development of communication and smart antenna technology, the Internet of Vehicles (IoV) has received extensive attention and research. The application of IoV is hampered by lack of spectrum and limited communication coverage. In this paper, cognitive radio cooperative transmission is introduced into the IoV system to expand the transmission range without increasing the transmission power. The outage probability of end-to-end transmission is calculated by analyzing and deducing the signal to interference plus noise ratio. Numerical simulation results show that compared with direct communication, the use of cognitive radio cooperative transmission can effectively reduce the outage probability and improve the performance of the IoV.
文章引用：刘阳, 黎锁平. 认知无线电协同传输在车联网中的应用及性能分析[J]. 无线通信, 2021, 11(1): 1-7. https://doi.org/10.12677/HJWC.2021.111001

参考文献

[1] Haykin, S. (2005) Cognitive Radio: Brain-Empowered Wireless Communications. IEEE Journal on Selected Areas in Communications, 23, 201-220.
[Google Scholar] [CrossRef] 
[2] 曹华孝, 鲜永菊, 徐昌彪. 认知无线电技术的国内外发展与研究现状[J]. 数字通信, 2009, 36(2): 62-68.
[3] 刘元, 彭端, 陈楚. 认知无线电的关键技术和应用研究[J]. 通信技术, 2007, 40(7): 87-90.
[4] Kusaladharma, S. and Tellambura, C. (2012) Aggregate Interference Analysis for Underlay Cognitive Radio Networks. IEEE Wireless Communication Letters, 1, 641-644.
[Google Scholar] [CrossRef] 
[5] Suoping, L., Wei, L., Jaafar, G., Kejun, J. and Fan, W. (2020) Design and Analysis of Adaptive Full-Duplex Cognitive Relay Cooperative Strategy Based on Primary System Behavior. Wireless Networks, 26, 6237-6252.
[Google Scholar] [CrossRef] 
[6] Zou, Y., Zhu, J., Zheng, B. and Yao, Y. (2010) An Adaptive Cooperation Diversity Scheme with Best-Relay Selection in Cognitive Radio Networks. IEEE Transactions on Signal Processing, 58, 5438-5445.
[Google Scholar] [CrossRef] 
[7] Simeone, O., Bar-Ness, Y. and Spagnolini, U. (2007) Stable Throughput of Cognitive Radios with and without Relaying Capability. IEEE Transactions on Communications, 55, 2351-2360.
[Google Scholar] [CrossRef] 
[8] Ashrafinia, S., Pareek, U. and Naeem, M. (2011) Biogeography-Based Optimization for Joint Relay Assignment and Power Allocation in Cognitive Radio System. 2011 IEEE Symposium on Swarm Intelligence, Paris, 11-15 April 2011, 1-8.
[Google Scholar] [CrossRef] 
[9] Elalem, M., Zhao, L. and Liao, Z. (2010) Interference Mitigation Using Power Control in Cognitive Radio Networks. Vehicular Technology Conference, Taipei, 16-19 May 2010, 1-5.
[Google Scholar] [CrossRef] 
[10] Anghel, P.A. and Kaveh, M. (2004) Exact Symbol Error Probability of a Cooperative Network in a Rayleigh-Fading Environment. IEEE Transactions on Wireless Communications, 3, 1416-1421.
[Google Scholar] [CrossRef] 
[11] Yu, S., Lee, J., Park, K., Das, A.K. and Park, Y. (2020) IoV-SMAP: Secure and Efficient Message Authentication Protocol for IoV in Smart City Environment. IEEE Access, 8, 167875-167886.
[Google Scholar] [CrossRef] 
[12] 程刚, 郭达. 车联网现状与发展研究[J]. 移动通信, 2011, 35(17): 23-26.
[13] Li, S.P., Wang, F., Gaber, J. and Chang, X.K. (2020) Throughput and Energy Efficiency of Cooperative ARQ Strategies for VANETs Based on Hybrid Vehicle Communication Mode. IEEE Access, 8, 114287-114304.
[Google Scholar] [CrossRef] 
[14] Islam, S.N., Sadeghi, P. and Durrani, S. (2013) Error Performance Analysis of Decode-and-Forward and Amplify-and-Forward Multi-Way Relay Networks with Binary Phase Shift Keying Modulation. IET Communications, 7, 1605-1616.
[Google Scholar] [CrossRef] 
[15] Ikki, S. and Ahmed, M.H. (2007) Performance Analysis of Cooperative Diversity Wireless Networks over Nakagami-m Fading Channel. IEEE Communications Letters, 11, 334-336.
[Google Scholar] [CrossRef]