Analysis of Dynamic Channel Bonding in Dense Networks of WLANs

Dynamic Channel Bonding (DCB) allows for the dynamic selection and use of multiple contiguous basic channels in Wireless Local Area Networks (WLANs). A WLAN operating under DCB can enjoy a larger bandwidth, when available, and therefore achieve a higher throughput. However, the use of larger bandwidths also increases the contention with adjacent WLANs, which can result in longer delays in accessing the channel and consequently, a lower throughput. In this paper, a scenario consisting of multiple WLANs using DCB and operating within carrier-sensing range of one another is considered. An analytical framework for evaluating the performance of such networks is presented. The analysis is carried out using a Markov chain model that characterizes the interactions between adjacent WLANs with overlapping channels. An algorithm is proposed for systematically constructing the Markov chain corresponding to any given scenario. The analytical model is then used to highlight and explain the key properties that differentiate DCB networks of WLANs from those operating on a single shared channel. Furthermore, the analysis is applied to networks of IEEE 802.11ac WLANs operating under DCB–which do not fully comply with some of the simplifying assumptions in our analysis–to show that the analytical model can give accurate results in more realistic scenarios.

[1]  Sem C. Borst,et al.  Insensitivity and stability of random-access networks , 2010, Perform. Evaluation.

[2]  Kevin C. Almeroth,et al.  Intelligent Channel Bonding in 802.11n WLANs , 2014, IEEE Transactions on Mobile Computing.

[3]  Patrick Thiran,et al.  A Packing Approach to Compare Slotted and Non-Slotted Medium Access Control , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

[4]  Boris Bellalta,et al.  Channel Bonding in Short-Range WLANs , 2014 .

[5]  Edward W. Knightly,et al.  Closed-form throughput expressions for CSMA networks with collisions and hidden terminals , 2012, 2012 Proceedings IEEE INFOCOM.

[6]  Boleslaw K. Szymanski,et al.  Reusing simulation components: cost: a component-oriented discrete event simulator , 2002, WSC '02.

[7]  Jaume Barceló,et al.  On the Interactions Between Multiple Overlapping WLANs Using Channel Bonding , 2014, IEEE Transactions on Vehicular Technology.

[8]  B.K. Szymanski,et al.  COST: a component-oriented discrete event simulator , 2002, Proceedings of the Winter Simulation Conference.

[9]  Boris Bellalta,et al.  IEEE 802.11ax: High-efficiency WLANS , 2015, IEEE Wireless Communications.

[10]  A. Girotra,et al.  Performance Analysis of the IEEE 802 . 11 Distributed Coordination Function , 2005 .

[11]  Soung Chang Liew,et al.  Back-of-the-Envelope Computation of Throughput Distributions in CSMA Wireless Networks , 2007, 2009 IEEE International Conference on Communications.

[12]  Pramod K. Varshney,et al.  Tuning the carrier sensing range of IEEE 802.11 MAC , 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

[13]  Leonard Kleinrock,et al.  On the capacity of wireless CSMA/CA multihop networks , 2013, 2013 Proceedings IEEE INFOCOM.

[14]  Michelle X. Gong,et al.  Channel Bounding and MAC Protection Mechanisms for 802.11ac , 2011, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.

[15]  P. Tetali,et al.  Mixing Time Bounds via the Spectral Profile , 2005, math/0505690.

[16]  Minyoung Park,et al.  IEEE 802.11ac: Dynamic Bandwidth Channel Access , 2011, 2011 IEEE International Conference on Communications (ICC).

[17]  Anthony Unwin,et al.  Reversibility and Stochastic Networks , 1980 .

[18]  Koushik Kar,et al.  Throughput modelling and fairness issues in CSMA/CA based ad-hoc networks , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[19]  Basil S. Maglaris,et al.  Throughput Analysis in Multihop CSMA Packet Radio Networks , 1987, IEEE Trans. Commun..