Wireless Networks

, Volume 25, Issue 8, pp 4873–4885 | Cite as

Rate selection based medium access control for full-duplex asymmetric transmission

  • Yan Chen
  • Yanjing SunEmail author
  • Haiwei Zuo
  • Song Li
  • Nannan Lu
  • Yanfen Wang


The realization of full-duplex wireless communication is predictable. And asymmetric transmission is a practical and low-cost application scenario, where full-duplex access point (FD_AP) can communicate with two users simultaneously to receive and send packets. While, in an asymmetric transmission, the transmit power of uplink sender decides the uplink and downlink rates because of the inter-client interference, which accordingly restricts the throughput. Besides, the size of packets in uplink and downlink is generally unequal. Therefore, a WIFI network with a FD_AP and half-duplex users is studied in this paper, and a medium access control (MAC) protocol based on power control and rate selection (PCRS) is proposed. PCRS MAC employs a received signal strength based rate selection strategy to select different rates and power for uplink and downlink transmission. Then, FD_AP can establish efficient and reliable full-duplex asymmetric transmission. Simulation results show that PCRS can improve the throughput and the probability of successful asymmetric communication as compared to the distributed coordination function (DCF) and a simple full-duplex MAC protocol without PCRS. Besides, PCRS MAC also maintains a high level of fairness.


Full-duplex MAC Asymmetric transmission Packet length Rate selection 



This work is supported by the National Natural Science Foundation of China (51504214, 61771417, 51504255), The Fundamental Research and Development Foundation of Jiangsu Province (BE2015040), Natural Science Foundation of Jiangsu province of China (BK20150204), National Key Research and Development Program (2016YFC0801403); China Postdoctoral Science Foundation Grant (2015M581884)


  1. 1.
    Jain, M., Choi, J. I., Kim, T., Bharadia, D., Seth, S., Srinivasan, K., et al. (2011). Practical, real-time, full duplex wireless. In Proceedings of the 17th annual international conference on Mobile computing and networking (pp. 301–312). ACM.Google Scholar
  2. 2.
    Bharadia, D., Mcmilin, E., & Katti, S. (2013). Full duplex radios. Computer Communication Review, 43(4), 375–386.CrossRefGoogle Scholar
  3. 3.
    Bharadia, D., & Katti, S. (2014). Full duplex mimo radios. In Proceedings of the 11th USENIX conference on networked systems design and implementation (pp. 359–372). USENIX Association.Google Scholar
  4. 4.
    Debaillie, B., van den Broek, D.-J., Lavin, C., van L, B., Klumperink, E. A. M., Palacios, C., et al. (2014). Analog/rf solutions enabling compact full-duplex radios. IEEE Journal on Selected Areas in Communications, 32(9), 1662–1673.CrossRefGoogle Scholar
  5. 5.
    Sabharwal, A., Schniter, P., Guo, D., Bliss, D. W., Rangarajan, S., & Wichman, R. (2014). In-band full-duplex wireless: Challenges and opportunities. IEEE Journal on Selected Areas in Communications, 32(9), 1637–1652.CrossRefGoogle Scholar
  6. 6.
    Tang, A., & Wang, X. (2015). Balanced rf-circuit based self-interference cancellation for full duplex communications. Ad Hoc Networks, 24, 214–227.CrossRefGoogle Scholar
  7. 7.
    Jeong, J., Choi, S., & Kim, C.-K. (2005). Achieving weighted fairness between uplink and downlink in IEEE 802.11 dcf-based wlans. In Second international conference on quality of service in heterogeneous wired/wireless networks, 2005 (p. 10). IEEE.Google Scholar
  8. 8.
    Wu, D., Si, S., Wu, S., & Wang, R. (2017). Dynamic trust relationships aware data privacy protection in mobile crowd-sensing. IEEE Internet of Things Journal, PP(99), 1–1.Google Scholar
  9. 9.
    Memon, I., Arain, Q. A., Memon, H., & Mangi, F. A. (2017). Efficient user based authentication protocol for location based services discovery over road networks. Wireless Personal Communications, 95(4), 3713–3732.CrossRefGoogle Scholar
  10. 10.
    Memon, I., Chen, L., Arain, Q. A., Memon, H., & Chen, G. (2018). Pseudonym changing strategy with multiple mix zones for trajectory privacy protection in road networks. International Journal of Communication Systems, 31(1), e3437.CrossRefGoogle Scholar
  11. 11.
    Arain, Q. A., Uqaili, M. A., Deng, Z., Memon, I., Jiao, J., Shaikh, M. A., et al. (2017). Clustering based energy efficient and communication protocol for multiple mix-zones over road networks. Wireless Personal Communications, 95(2), 411–428.CrossRefGoogle Scholar
  12. 12.
    Domenic, M. K., Wang, Y., Zhang, F., Memon, I., & Gustav, Y. H. (2013). Preserving users’ privacy for continuous query services in road networks. In International conference on information management, innovation management and industrial engineering (pp. 352–355).Google Scholar
  13. 13.
    Dapeng, W., Yan, J., Wang, H., Wu, D., & Wang, Ruyan. (2017). Social attribute aware incentive mechanism for device-to-device video distribution. IEEE Transactions on Multimedia, 19(8), 1908–1920.CrossRefGoogle Scholar
  14. 14.
    Wu, D., Liu, Q., Wang, H., Wu, D., & Wang, Ruyan. (2017). Socially aware energy efficient mobile edge collaboration for video distribution. IEEE Transactions on Multimedia, PP(99), 1–1.Google Scholar
  15. 15.
    Akhtar, R., Leng, S., Memon, I., Ali, M., & Zhang, Liren. (2015). Architecture of hybrid mobile social networks for efficient content delivery. Wireless Personal Communications, 80(1), 85–96.CrossRefGoogle Scholar
  16. 16.
    Cheng, W., Zhang, X., & Zhang, H. (2013). RTS/FCTS mechanism based full-duplex mac protocol for wireless networks. In Globecom workshops (GC Wkshps), 2013 IEEE (pp. 5017–5022). IEEE.Google Scholar
  17. 17.
    Singh, N., Gunawardena, D., Proutiere, A., Radunovi, B., Balan, H. V., & Key, P. (2011). Efficient and fair mac for wireless networks with self-interference cancellation. In 2011 International symposium on modeling and optimization in mobile, ad hoc and wireless networks (WiOpt) (pp. 94–101). IEEE.Google Scholar
  18. 18.
    Tang, A., & Wang, X. (2015). A-duplex: Medium access control for efficient coexistence between full-duplex and half-duplex communications. IEEE Transactions on Wireless Communications, 14(10), 5871–5885.CrossRefGoogle Scholar
  19. 19.
    Choi, W., Lim, H., & Sabharwal, A. (2015). Power-controlled medium access control protocol for full-duplex wifi networks. IEEE Transactions on Wireless Communications, 14(7), 3601–3613.CrossRefGoogle Scholar
  20. 20.
    Ma, Z., Zhao, Q., Zeng, Y., Zhang, H., & Dai, H.-N. (2016). At-MAC: A novel full duplex mac design for achieving asymmetric transmission. In Mobile and wireless technologies 2016, (pp. 41–49). Springer.Google Scholar
  21. 21.
    Murad, M. , & Eltawil, A. M. (2017). A simple full-duplex mac protocol exploiting asymmetric traffic loads in wifi systems. In Wireless communications and networking conference (WCNC), 2017 IEEE (pp. 1–6). IEEE.Google Scholar
  22. 22.
    Chen, S.-Y., Huang, T.-F., Lin, K. C.-J., Hong, Y.-W., & Sabharwal, Ashutosh. (2017). Probabilistic medium access control for full-duplex networks with half-duplex clients. IEEE Transactions on Wireless Communications, 16(4), 2627–2640.CrossRefGoogle Scholar
  23. 23.
    Palit, R., Naik, K., & Singh, A. (2012). Anatomy of wifi access traffic of smartphones and implications for energy saving techniques. International Journal of Energy, Information and Communications, 3(1), 1–16.Google Scholar
  24. 24.
    IEEE Standards Association et al. (2012). 802.11-2012-ieee standard for information technology–telecommunications and information exchange between systems local and metropolitan area networks–specific requirements part 11: Wireless lan medium access control (MAC) and physical layer (PHY) specifications. IEEE Std.Google Scholar
  25. 25.
    Kamerman, A., & Monteban, L. (1997). Wavelan®-ii: a high-performance wireless lan for the unlicensed band. Bell Labs Technical Journal, 2(3), 118–133.CrossRefGoogle Scholar
  26. 26.
    Lacage, M., Manshaei, M. H., & Turletti, T. (2004). IEEE 802.11 rate adaptation: a practical approach. In Proceedings of the 7th ACM international symposium on modeling, analysis and simulation of wireless and mobile systems (pp. 126–134). ACM.Google Scholar
  27. 27.
    Wong, S. H. Y., Yang, H., Lu, S., & Bharghavan, V. (2006). Robust rate adaptation for 802.11 wireless networks. In Proceedings of the 12th annual international conference on mobile computing and networking (pp 146–157). ACM.Google Scholar
  28. 28.
    Maguolo, F., Lacage, M., & Turletti, T. (2008). Efficient collision detection for auto rate fallback algorithm. In IEEE Symposium on Computers and communications, 2008. ISCC 2008 (pp. 25–30). IEEE.Google Scholar
  29. 29.
    Halperin, D., Hu, W., Sheth, A., & Wetherall, D. (2010). Predictable 802.11 packet delivery from wireless channel measurements. In ACM SIGCOMM computer communication review (Vol. 40, pp. 159–170). ACM.Google Scholar
  30. 30.
    Rappaport, T. S., MacCartney, G. R., Samimi, M. K., & Sun, S. (2015). Wideband millimeter-wave propagation measurements and channel models for future wireless communication system design. IEEE Transactions on Communications, 63(9), 3029–3056.CrossRefGoogle Scholar
  31. 31.
    Hu, J., Liao, Y., Song, L., & Han, Z. (2016). Fairness-throughput tradeoff in full-duplex WIFI networks. In Global communications conference (GLOBECOM), 2016 IEEE (pp 1–6). IEEE.Google Scholar
  32. 32.
    Li, S., Ni, Q., Sun, Y., Min, G., & Al-Rubaye, S. (2018). Energy-efficient resource allocation for industrial cyber-physical iot systems in 5g era. IEEE Transactions on Industrial Informatics, PP(99), 1–1.Google Scholar
  33. 33.
    Zuo, H., Sun, Y., Lin, C., Li, S., Xu, H., Tan, Z., et al. (2016). A three-way handshaking access mechanism for point to multipoint in-band full-duplex wireless networks. KSII Transactions on Internet & Information Systems, 10(7), 3131–3149.Google Scholar
  34. 34.
    Kim, C., & Kim, C. (2016). A full duplex mac protocol for efficient asymmetric transmission in WLAN. In Computing, Networking and Communications (ICNC), 2016 International Conference on (pp 1–5). IEEE.Google Scholar
  35. 35.
    Bianchi, G. (2000). Performance analysis of the IEEE 802.11 distributed coordination function. IEEE Journal on selected areas in communications, 18(3), 535–547.CrossRefGoogle Scholar
  36. 36.
    Jain, R., Chiu, D.-M., & Hawe, W. R (1984). A quantitative measure of fairness and discrimination for resource allocation in shared computer system (Vol. 38). Eastern Research Laboratory, Digital Equipment Corporation Hudson, MA.Google Scholar
  37. 37.
    Han, S., Zhang, X., & Shin, K. G. (2016). Fair and efficient coexistence of heterogeneous channel widths in next-generation wireless lans. IEEE Transactions on Mobile Computing, 15(11), 2749–2761.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Information and Control EngineeringChina University of Mining and TechnologyXuzhouPeople’s Republic of China
  2. 2.School of Communication and Information EngineeringXi’an University of Science and TechnologyXi’anPeople’s Republic of China

Personalised recommendations