ETRI Journal

  • 제41권6호
  • /
  • Pages.703-714
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  • 2019
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  • 1225-6463(pISSN)
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  • 2233-7326(eISSN)
한국전자통신연구원 (Electronics and Telecommunications Research Institute)
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Analysis of adjacent channel interference using distribution function for V2X communication systems in the 5.9-GHz band for ITS

  • Song, Yoo Seung (Artificial Intelligence Research Laboratory, Electronics and Telecommunications Research Institute) ;
  • Lee, Shin Kyung (Artificial Intelligence Research Laboratory, Electronics and Telecommunications Research Institute) ;
  • Lee, Jeong Woo (Artificial Intelligence Research Laboratory, Electronics and Telecommunications Research Institute) ;
  • Kang, Do Wook (Artificial Intelligence Research Laboratory, Electronics and Telecommunications Research Institute) ;
  • Min, Kyoung Wook (Artificial Intelligence Research Laboratory, Electronics and Telecommunications Research Institute)
  • 투고 : 2018.05.28
  • 심사 : 2019.05.20
  • 발행 : 2019.12.06
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초록

Many use cases have been presented on providing convenience and safety for vehicles employing wireless access in vehicular environments and long-term evolution communication technologies. As the 70-MHz bandwidth in the 5.9-GHz band is allocated as an intelligent transportation system (ITS) service, there exists the issue that vehicular communication systems should not interfere with each other during their usage. Numerous studies have been conducted on adjacent interfering channels, but there is insufficient research on vehicular communication systems in the ITS band. In this paper, we analyze the interference channel performance between communication systems using distribution functions. Two types of scenarios comprising adjacent channel interference are defined. In each scenario, a combination of an aggressor and victim network is categorized into four test cases. The minimum requirements and conditions to meet a 10% packet error rate are analyzed in terms of outage probability, packet error rate, and throughput for different transmission rates. This paper presents an adjacent channel interference ratio and communication coverage to obtain a satisfactory performance.

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참고문헌

  1. K. Aldana, U.S. Department of Transportation Releases Policy on Automated Vehicle Development, NHTSA, US Department of Transportation, 2013. Accessed Dec. 13, 2018. https://www.transporta tion.gov/briefing-room.
  2. SAE J3016, Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles, SAE International, Warrendale, PA, USA, Sept. 2016.
  3. 3GPP TR 22.886 v15.1.0, 3rd generation partnership project; Technical specification group services and system aspects; Study on enhancement of 3GPP support for 5G V2X services (Release 15), Valbonne, France, Mar. 2017.
  4. ETSI TR 102 638 v1.1.1, Intelligent transport systems (ITS); Vehicular communications; Basic set of applications; Definitions, Sophia Antipolis Cedex, France, June 2009.
  5. ETSI 302 637-2 v1.3.1, Intelligent transport systems (ITS); Vehicular communications; Basic set of application; Part2: Specification of cooperative awareness basic service, Sophia Antipolis Cedex, France, Sept. 2014.
  6. ETSI 302 637-3 v1.2.1, Intelligent transport systems (ITS); Vehicular communications; Basic set of application; Part3: specification of decentralized environmental notification basic service, Sophia Antipolis Cedex, France, Sept. 2014.
  7. SAE J2735, Dedicated short range communications (DSRC) message set dictionary, SAE International, Warrendale, PA, USA, Nov. 2009.
  8. Preliminary draft revision of recommendation ITU-R M.2084-0, Radio interface standards of vehicle-to-vehicle and vehicle-toinfrastructure communications for Intelligent Transport Systems applications, International Telecommunication Union, Sept. 2015.
  9. IEEE802.11, IEEE standard for information technology-telecommunication and information exchange between systems local and metropolitan area networks specific requirements Part11: Wireless LAN medium access control (MAC) and physical layer (PHY) specifications, IEEE, Piscataway, NJ, USA, 2012.
  10. IEEE1609.2, IEEE standard for wireless access in vehicular environments-security services for applications and management messages, IEEE, New York, NY, USA, 2016.
  11. IEEE1609.3, IEEE standard for wireless access in vehicular environments(WAVE) - networking services, IEEE, New York, NY, USA, 2016.
  12. IEEE1609.4, IEEE standard for wireless access in vehicular environments (WAVE) - multi-channel operation, IEEE, New York, NY, USA, 2016.
  13. 3GPP TR 36.885 v14.0.0, Study on LTE based V2X services (Release 14), Valbonne, France, June 2016.
  14. Qualcomm, Accelerating C-V2X commercialization, Sept. 2017, Accessed Dec. 13, 2018. http://www.qualcomm.com
  15. 5GAA (5G Automotive Association), The case for cellular V2X for safety and cooperative driving, Nov. 2016.
  16. H.K. Son and C.Y. Kim, Derivation of probability function of signal- to-interference-plus-noise ratio for the MS-to-MS interference analysis, Scientific World J. 2013 (2013), 1-6.
  17. J. Me et al., A latency and reliability guaranteed resource allocation scheme for LTE V2V communication systems, IEEE. Trans. Wireless Commun. 17 (2018), 3850-3860. https://doi.org/10.1109/TWC.2018.2816942
  18. B.P. Tewari and S.C. Ghosh, Combined power control and Partially overlapping channel assignment for interference mitigation in dense WLAN, in Proc. IEEE Int. Conf. AINA, Taipei, Taiwan, May 27-29, 2017, pp. 646-653.
  19. K. Xiong et al., Mobile service amount based link scheduling for high-mobility cooperative vehicular networks, IEEE Trans. Veh. Technol. 66 (2017), 9521-9533. https://doi.org/10.1109/TVT.2017.2714863
  20. C. Campolo et al., On the impact of adjacent channel interference in multi-channel VANETs, in Proc. IEEE Int. Conf. Commun., Kuala Lumpur, Malaysia, May 23-27, 2016, pp. 1-7.
  21. W.Y. Yeo, S.H. Moon, and J.H. Kim, Uplink scheduling and adjacent channel coupling loss analysis for TD-LTE deployment, Scientific World J. 2014 (2014), 1-15.
  22. Y.P. Wang and K.H. Chang, Adjacent channel interference reduction for M-WiMAX TDD and WCDMA FDD coexistence by utilizing beamforming in M-WiMAX TDD system, IEICE Trans. Commun. E93-B (2010), no. 1, pp. 111-124. https://doi.org/10.1587/transcom.E93.B.111
  23. K. Xiong et al., A broad beamforming approach for high-mobility communications, IEEE Trans. Veh. Technol. 66 (2017), no. 11, 10546-10550. https://doi.org/10.1109/TVT.2017.2734944
  24. Y. Lu et al., Optimal multi-cell coordinated beamforming for downlink high-speed railway communications, IEEE Tran. Veh. Technol. 66 (2017), 9603-9608. https://doi.org/10.1109/TVT.2017.2714958
  25. A.M. Voicu et al., Analyzing Wi-Fi/LTE coexistence to demonstrate the value of risk-informed interference assessment, in Proc. IEEE DySPAN, Piscataway, NJ, USA, Mar. 6-9, 2017, pp. 1-10.
  26. A. Tekovic et al., Interference analysis between mobile radio and digital terrestrial television in the digital dividend spectrum, Radio Eng. 26 (2017), no. 1, 211-220.
  27. G. Naik, J.S. Liu, and J.M. Park, Coexistence of wireless technologies in the 5 GHz bands: a survey of existing solutions and a roadmap for future research, IEEE Commun. Surveys Tutorials 20 (2018), no. 3, 1-22. https://doi.org/10.1109/COMST.2018.2802707
  28. M.J. Kim et al., Modeling of adjacent channel interference in heterogeneous wireless networks, IEEE Commun. Lett. 17 (2013), no. 9, 1174-1777.
  29. Y.K. Yoon and Y.J. Chong, Outage performance and derivation due to adjacent channel interference, in Proc. Int. Conf. Wireless Mobile Commun. (ICWMC), Seville, Spain, June 22-26, 2014, pp. 10-13.
  30. R.W. Heath, M. Kountouris, and T. Bai, Modeling heterogeneous network interference using poisson point processes, IEEE Trans. Signal Process. 61 (2013), no. 16, 4114-4126. https://doi.org/10.1109/TSP.2013.2262679
  31. S.P. Damodaran and M. Pazha, Analysis of interference modeling and coexistence for next-generation LTE cellular systems, in Proc. Int. Conf. Commun. Process. (ICCSP), Melmaruvathur, India, Apr. 2-4, 2015, pp. 1608-1611.
  32. R. Lasowski et al., Evaluation of adjacent channel interference in single radio vehicular Ad-Hoc networks, in IEEE Consumer Commun. Netw. Conf. (CCNC), Las Vegas, NV, USA, Jan. 9-12, 2011, pp. 267-271.
  33. V. Angelakis et al., Adjacent channel interference in 802.11a is harmful: testbed validation of a simple quantification model, IEEE Commun. Mag. 49 (2011), no. 3, 160-166. https://doi.org/10.1109/MCOM.2011.5723815
  34. A. Mishra et al., Partially overlapped channels not considered harmful, in Proc. Joint Int. Conf. Meas. Modeling Comput. Syst. (SIGMETRICS), Saint Malo, France, June 26-30, 2006, pp. 63-74.
  35. A.M. Voicu, L. Simic, and M. Petrova, Inter-technology coexistence in a spectrum commons: a case study of Wi-Fi and LTE in the 5-GHz unlicensed band, IEEE J. Selected Areas Commun. 24 (2016), no. 11, 3062-3077.
  36. D. Hu and S. Mao, Ad Hoc Networks: on co-channel and adjacent channel interference mitigation in cognitive radio networks, Elsevier Science Ltd, Amsterdam, Netherlands, 2013, pp. 1629-1640.
  37. A.F. Molisch et al., On pathloss models for adjacent-channel interference in cognitive whitespace systems, in Proc. IEEE Int. Conf. Commun. Workshops (ICC), Kuala Lumpur, Malaysia, May 23- 27, 2016, pp. 682-688.
  38. G.R. Cooper and C.D. McGillem, Probabilistic methods of signal and system analysis, 3rd ed., Oxford University Press, NY, USA, 1998.
  39. Y.S. Song and J.D. Choi, V2X throughputs based on link budget analysis for 5.8GHz WAVE systems, in Proc. IEEE ICTC Conf., Jeju, Rep. of Korea, Oct. 28-30, 2015, pp. 981-985.
  40. 3GPP TR 36.889 V13.0.0, Study on licensed-assisted access to unlicensed spectrum (Release 13), Nov. 2015.
  41. C. Dou et al., An analytical model for deriving receiver sensitivity and minimum transmit power in 802.11.6 wireless body area networks, in Proc. IEEE MTT-S Int. Microw. Workshop Series RF Wireless Technol. Biomed. Healthcare Applicat., Taipei, Sept. 21-23, 2015, pp. 138-140.
  42. M.K. Simon and M.S. Alouini, Digital communication over fading channels, Wiley-IEEE Press, Hoboken, NJ, USA, 2005, p. 24.
  43. D. Haccoun and G. Begin, High-rate punctured convolutional codes for viterbi and sequential decoding, IEEE Trans. Commun. 37 (1989), no. 11, 1113-1125. https://doi.org/10.1109/26.46505
  44. J. Conan, The weight spectra of some short low-rate convolutional codes, IEEE Trans. Commun. 32 (1984), no. 9, 1050-1053. https://doi.org/10.1109/TCOM.1984.1096180
  45. Y.S. Song and H.K. Choi, Analysis of V2V broadcast performance limit for WAVE communication systems using two-ray path loss model, ETRI J. 39 (2017), no. 2, 213-221. https://doi.org/10.4218/etrij.17.2816.0009