On the Asymptotic Validity of the Decoupling Assumption for Analyzing 802.11 MAC Protocol

Performance evaluation of the 802.11 MAC protocol is classically based on the decoupling assumption, which hypothesizes that the backoff processes at different nodes are independent. This decoupling assumption results from mean field convergence and is generally true in transient regime in the asymptotic sense (when the number of wireless nodes tends to infinity), but, contrary to widespread belief, may not necessarily hold in stationary regime. The issue is often related with the existence and uniqueness of a solution to a fixed point equation; however, it was also recently shown that this condition is not sufficient; in contrast, a sufficient condition is a global stability property of the associated ordinary differential equation. In this paper, we give a simple condition that establishes the asymptotic validity of the decoupling assumption for the homogeneous case (all nodes have the same parameters). We also discuss the heterogeneous and the differentiated service cases and formulate a new ordinary differential equation. We show that the uniqueness of a solution to the associated fixed point equation is not sufficient; we exhibit one case where the fixed point equation has a unique solution but the decoupling assumption is not valid in the asymptotic sense in stationary regime.

[1]  Alexandre Proutière,et al.  A particle system in interaction with a rapidly varying environment: Mean field limits and applications , 2010, Networks Heterog. Media.

[2]  Daniele Miorandi,et al.  New insights from a fixed point analysis of single cell IEEE 802.11 WLANs , 2005, INFOCOM 2005.

[3]  T. S. Randhawa,et al.  Saturation throughput analysis of IEEE 802.11e enhanced distributed coordination function , 2004, IEEE Journal on Selected Areas in Communications.

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

[5]  Michele Garetto,et al.  Modeling Per-Flow Throughput and Capturing Starvation in CSMA Multi-Hop Wireless Networks , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

[6]  Peter Key,et al.  Performance Analysis of Contention Based Medium Access Control Protocols , 2009, IEEE Trans. Inf. Theory.

[7]  Jean-Yves Le Boudec,et al.  A class of mean field interaction models for computer and communication systems , 2008, WiOpt.

[8]  M. Benaïm,et al.  A class of mean field interaction models for computer and communication systems , 2008, 2008 6th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks and Workshops.

[9]  Alexandre Proutière,et al.  Performance of random medium access control, an asymptotic approach , 2008, SIGMETRICS '08.

[10]  Ilenia Tinnirello,et al.  Understanding 802.11e contention-based prioritization mechanisms and their coexistence with legacy 802.11 stations , 2005, IEEE Network.

[11]  Hai Le Vu,et al.  MAC Access Delay of IEEE 802.11 DCF , 2007, IEEE Transactions on Wireless Communications.

[12]  Ayalvadi J. Ganesh,et al.  Performance Analysis of Contention Based Medium Access Control Protocols , 2006, IEEE Transactions on Information Theory.

[13]  M. Mathews,et al.  An Interview with , 2009 .

[14]  Eitan Altman,et al.  New Insights From a Fixed-Point Analysis of Single Cell IEEE 802.11 WLANs , 2007, IEEE/ACM Transactions on Networking.

[15]  A. Kumar,et al.  Fixed Point Analysis of Single Cell IEEE 802.11e WLANs: Uniqueness and Multistability , 2008, IEEE/ACM Transactions on Networking.

[16]  Ken R. Duffy,et al.  Mean field Markov models of wireless local area networks , 2010 .

[17]  J. J. Garcia-Luna-Aceves,et al.  A scalable model for channel access protocols in multihop ad hoc networks , 2004, MobiCom '04.

[18]  Fouad A. Tobagi,et al.  Towards Performance Modeling of IEEE 802.11 Based Wireless Networks: A Unified Framework and Its Applications , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

[19]  W. Blattner,et al.  An interview with Dr Terry M. Nett , 2021, Biology of Reproduction.

[20]  T. Kurtz Strong approximation theorems for density dependent Markov chains , 1978 .

[21]  Byung-Jae Kwak,et al.  Performance analysis of exponential backoff , 2005, IEEE/ACM Transactions on Networking.

[22]  Charles Bordenave,et al.  Random Multi-access Algorithms - A Mean Field analysis , 2005 .

[23]  A. Sznitman Topics in propagation of chaos , 1991 .

[24]  Gorm Kallestad,et al.  Centre for Quantifiable Quality of Service in Communication Systems , 2007 .

[25]  Eitan Altman,et al.  Fixed point analysis of single cell IEEE 802.11e WLANs: uniqueness, multistability and throughput differentiation , 2005, SIGMETRICS '05.

[26]  P. Billingsley,et al.  Convergence of Probability Measures , 1969 .