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Saturation throughput analysis of a cognitive IEEE 802.11-based WLAN overlaid on an IEEE 802.16e WiMAX

Rahimzadeh, P ; Sharif University of Technology | 2012

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  1. Type of Document: Article
  2. DOI: 10.1109/PIMRC.2012.6362588
  3. Publisher: 2012
  4. Abstract:
  5. In this paper, we focus on a cognitive network scenario, comprised of a WLAN overlaid on a network with time-scheduled primary users. WiMAX is an example of such primary networks. For time-scheduled primary users simple On-Off traffic model with exponential durations is not valid anymore. In this scenario, the cognitive nodes (CNs) hear downlink map (DL-MAP) and thus, know the frequency and time locations of all allocated slots at each frame. Then, cognitive nodes contend with each other in order to transmit their fixed size packets based on IEEE 802.11 MAC protocol. Since the number of empty slots at each frame is variable each packet transmission in cognitive network prolongs a random number of frames. By mapping the status of each CN on an open queueing network, including the details of the contention status with the other CNs as well as the statistical distribution of empty slots we are able to derive the saturation throughput of the cognitive WLAN. Finally, we derive the saturation throughput of cognitive network versus the number of CNs as well as the packet arrival rate at WiMAX in downlink direction and confirm our analytical results by simulation
  6. Keywords:
  7. Queueing network ; Analytical results ; Cognitive network ; Downlink direction ; Fixed size ; IEEE 802.11 MAC protocols ; IEEE 802.11s ; IEEE 802.16e ; ON-OFF traffic model ; Open queueing networks ; Packet arrival rate ; Packet transmissions ; Random Numbers ; Saturation throughput ; Saturation throughput analysis ; Statistical distribution ; WLAN ; Queueing networks ; Standards ; Wimax ; Throughput
  8. Source: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, 9 September 2012 through 12 September 2012 ; September , 2012 , Pages 1515-1520 ; 9781467325691 (ISBN)
  9. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6362588