Skip to main content
SpringerLink
Log in

Constrained channel bonding based on maximum achievable throughput in WLANs

  • Published:
Wireless Networks Aims and scope Submit manuscript

Abstract

In Wireless Local Area Networks, channel bonding allows several basic channels to constitute a wide channel. The wide channel can increase potential throughput in a single Basic Service Set (BSS). However, channel contention among BSSs is more serious because the number of non-overlapping channels decreases. Therefore, the appropriate channel bandwidth should be chosen to improve the throughput of the whole network. In this paper, to control channel contention and improve throughput, we propose a channel bonding algorithm in which the channel bandwidth is constrained based on the achievable throughput analysis. At first, the channel contention relationship among BSSs is obtained according to the topology of the network. In each possible channel bonding and channel allocation scheme, the achievable throughput can be calculated according to the contention graph and the maximal clique algorithm. Then, the channel bonding scheme with the maximum achievable throughput can be selected. In the selected channel bonding scheme, each BSS uses a specific channel which consists of several basic channels, and these basic channels are candidate channels of constrained channel bonding in this BSS. Finally, constrained channel bonding will be performed in each BSS, and the combined wide channel can only be constituted by some or all of candidate basic channels. In this manner, channel contention among BSSs can be controlled. Simulation results show that the proposed constrained channel bonding achieves better performance than traditional channel bonding.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21

Similar content being viewed by others

References

  1. Karmakar, R., Chattopadhyay, S., & Chakraborty, S. (2017). Impact of IEEE 802.11n/ac PHY/MAC high throughput enhancements on transport and application protocols—A survey. IEEE Communications Surveys Tutorials, 19(4), 2050–2091.

    Article  Google Scholar 

  2. 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 802.11-2016 (Revision of IEEE Std 802.11-2012), 1–3534 (2016).

  3. Khorov, E., Kiryanov, A., Lyakhov, A., & Bianchi, G. (2019). A tutorial on IEEE 802.11ax high efficiency WLANs. IEEE Communications Surveys Tutorials, 21(1), 197–216.

    Article  Google Scholar 

  4. Daldoul, Y., Meddour, D., & Ksentini, A. (2017). IEEE 802.11ac: Effect of channel bonding on spectrum utilization in dense environments. In IEEE international conference on communications (ICC) (pp. 1–6).

  5. Yazid, M., & Ksentini, A. (2019). Stochastic modeling of the static and dynamic multichannel access methods enabling 40/80/160 mHz channel bonding in the VHT WLANS. IEEE Communications Letters, 23(8), 1437–1440.

    Article  Google Scholar 

  6. Gong, M. X., Hart, B., Xia, L., & Want, R. (2011). Channel bounding and MAC protection mechanisms for 802.11ac. In IEEE global telecommunications conference (GLOBECOM) (pp. 1–5).

  7. Park, M. (2011). IEEE 802.11ac: Dynamic bandwidth channel access. In IEEE international conference on communications (ICC) (pp. 1–5).

  8. Joshi, S., Pawelczak, P., Cabric, D., & Villasenor, J. (2012). When channel bonding is beneficial for opportunistic spectrum access networks. IEEE Transactions on Wireless Communications, 11(11), 3942–3956.

    Article  Google Scholar 

  9. Barrachina-Munoz, S., Wilhelmi, F., & Bellalta, B. (2019). To overlap or not to overlap: Enabling channel bonding in high-density WLANs. Computer Networks, 152, 40–53.

    Article  Google Scholar 

  10. Faridi, A., Bellalta, B., & Checco, A. (2017). Analysis of dynamic channel bonding in dense networks of WLANs. IEEE Transactions on Mobile Computing, 16(8), 2118–2131.

    Article  Google Scholar 

  11. Khairy, S., Han, M., Cai, L. X., Cheng, Y., & Han, Z. (2019). A renewal theory based analytical model for multi-channel random access in IEEE 802.11ac/ax. IEEE Transactions on Mobile Computing, 18(5), 1000–1013.

    Article  Google Scholar 

  12. Wang, W., Zhang, F., & Zhang, Q. (2016). Managing channel bonding with clear channel assessment in 802.11 networks. In IEEE International conference on communications (ICC) (pp. 1–6).

  13. Chen, Y., Wu, D., Sung, T., & Shih, K. (2018). DBS: A dynamic bandwidth selection mac protocol for channel bonding in IEEE 802.11ac WLANs. In IEEE Wireless communications and networking conference (WCNC) (pp. 1–6).

  14. Deek, L., Garcia-Villegas, E., Belding, E., Lee, S., & Almeroth, K. (2014). Intelligent channel bonding in 802.11n WLANs. IEEE Transactions on Mobile Computing, 13(6), 1242–1255.

    Article  Google Scholar 

  15. Zhou, H., Li, B., Yan, Z., & Yang, M. (2017). A channel bonding based QoS-aware OFDMA MAC protocol for the next generation WLAN. Mobile Networks and Applications, 22(1), 19–29.

    Article  Google Scholar 

  16. 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.

    Article  Google Scholar 

  17. Barrachina-Munoz, S., Wilhelmi Roca, F. J., & Bellalta, B. (2020). Dynamic channel bonding in spatially distributed high-density WLANs. IEEE Transactions on Mobile Computing, 19(4), 821–835.

    Article  Google Scholar 

  18. Bellalta, B., Checco, A., Zocca, A., & Barcelo, J. (2016). On the interactions between multiple overlapping WLANs using channel bonding. IEEE Transactions on Vehicular Technology, 65(2), 796–812.

    Article  Google Scholar 

  19. Kai, C., Liang, Y., Hu, X., Liu, Z., & Wang, L. (2019). An effective channel allocation algorithm to maximize system utility in heterogeneous DCB WLANs. Computer Networks, 153, 23–35.

    Article  Google Scholar 

  20. Chou, C., Shin, K. G., & Shankar, N. S. (2006). Contention-based airtime usage control in multirate IEEE 802.11 wireless LANs. IEEE/ACM Transactions on Networking, 14(6), 1179–1192.

    Article  Google Scholar 

  21. Jain, C., Flick, P., Pan, T., Green, O., & Aluru, S. (2017). An adaptive parallel algorithm for computing connected components. IEEE Transactions on Parallel and Distributed Systems, 28(9), 2428–2439.

    Article  Google Scholar 

  22. Xu, Y., Cheng, J., & Fu, A. W. (2016). Distributed maximal clique computation and management. IEEE Transactions on Services Computing, 9(1), 110–122.

    Google Scholar 

  23. Amewuda, A. B., Katsriku, F. A., & Abdulai, J. D. (2018). Implementation and evaluation of WLAN 802.11ac for residential networks in ns-3. Journal of Computer Networks and Communications, 2018, 3518352.

    Article  Google Scholar 

  24. The ns-3 simulator. Retrieved March 20, 2020 from http://www.nsnam.org.

  25. Jain, R. (1986). A timeout-based congestion control scheme for window flow-controlled networks. IEEE Journal on Selected Areas in Communications, 4(7), 1162–1167.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China

    Min Peng, Caihong Kai & Lusheng Wang

Authors
  1. Min Peng
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Caihong Kai
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Lusheng Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Min Peng.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This research was supported in part by the National Natural Science Foundation of China Nos. 61601164 and 61971176, and in part by the Fundamental Research Funds for the Central Universities of China under grant Nos. PA2020GDKC0008 and PA2019GDQT0012.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Peng, M., Kai, C. & Wang, L. Constrained channel bonding based on maximum achievable throughput in WLANs. Wireless Netw 26, 4375–4388 (2020). https://doi.org/10.1007/s11276-020-02338-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11276-020-02338-8

Keywords

Search

Navigation