Measurement-Based Models for Cognitive Medium Access in WLAN Bands

This technical report corroborates the design of Cognitive Medium Access (CMA), a protocol enabling coexistence with multiple parallel WLAN channels by keeping interference below a given constraint. The derivation of CMA in [1] is solidified by measurement-based models, including an experimental study of the physical layer interaction between both systems, as well as a stochastic model allowing to predict the WLAN’s medium access. Due to space limitations our paper [1] focused on the derivation of CMA and provided only the main results of our experimental studies. In this technical report we cover the measurement aspect in detail and provide additional information to substantiate our results.

[1]  I. Miller.  Probability, Random Variables, and Stochastic Processes , 1966 .

[2]  Brian M. Sadler,et al.  COGNITIVE RADIOS FOR DYNAMIC SPECTRUM ACCESS - Dynamic Spectrum Access in the Time Domain: Modeling and Exploiting White Space , 2007, IEEE Communications Magazine.

[3]  H. Vincent Poor,et al.  An Introduction to Signal Detection and Estimation , 1994, Springer Texts in Electrical Engineering.

[4]  Paula Fikkert,et al.  Specification of the Bluetooth System , 2003 .

[5]  H. Vincent Poor,et al.  An introduction to signal detection and estimation (2nd ed.) , 1994 .

[6]  A. M. Abdullah,et al.  Wireless lan medium access control (mac) and physical layer (phy) specifications , 1997 .

[7]  P. Billingsley,et al.  Statistical Methods in Markov Chains , 1961 .

[8]  A. Cohen.  Truncated and Censored Samples , 1991 .

[9]  Brian M. Sadler,et al.  Dynamic spectrum access in WLAN channels: empirical model and its stochastic analysis , 2006, TAPAS '06.

[10]  A. Cohen.  Truncated and Censored Samples: Theory and Applications , 1991 .

[11]  Brian M. Sadler,et al.  Cognitive Medium Access: Constraining Interference Based on Experimental Models , 2008, IEEE Journal on Selected Areas in Communications.

[12]  Jim Zyren.  LANs Extension of Bluetooth and 802 . 11 Direct Sequence Interference Model Date : November 11 , 1998 , 1998 .

[13]  Athanasios Papoulis,et al.  Probability, Random Variables and Stochastic Processes , 1965 .

[14]  Lang Tong,et al.  A Measurement-Based Model for Dynamic Spectrum Access in WLAN Channels , 2006, MILCOM 2006 - 2006 IEEE Military Communications conference.

[15]  Brian M. Sadler,et al.  Dynamic Spectrum Access in the Time Domain : Modeling and Exploiting Whitespace , 2007 .

[16]  Nada Golmie,et al.  Interference Evaluation of Bluetooth and IEEE 802.11b Systems , 2003, Wirel. Networks.

[17]  Nada Golmie,et al.  Bluetooth and WLAN coexistence: challenges and solutions , 2003, IEEE Wireless Communications.

[18]  Voon Chin Phua,et al.  Wireless lan medium access control (mac) and physical layer (phy) specifications , 1999 .

[19]  Brian M. Sadler,et al.  Dynamic Spectrum Access: Signal Processing, Networking, and Regulatory Policy , 2006, ArXiv.

[20]  Ralph B. D'Agostino,et al.  Goodness-of-Fit-Techniques , 2020 .

[21]  S. Nadarajah,et al.  Extreme Value Distributions: Theory and Applications , 2000 .