Error-Sensitive adaptive frame aggregation in 802.11n WLAN

  • Authors:
  • Melody Moh;Teng-Sheng Moh;Ken Chan

  • Affiliations:
  • Department of Computer Science, San Jose State University, San Jose, CA;Department of Computer Science, San Jose State University, San Jose, CA;Department of Computer Science, San Jose State University, San Jose, CA

  • Venue:
  • WWIC'10 Proceedings of the 8th international conference on Wired/Wireless Internet Communications
  • Year:
  • 2010

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Abstract

IEEE 802.11n is an emerging standard for high data-rate wireless local area networks (WLAN). Frame aggregation is vital for enhancing its MAC layer efficiency. A large frame size can usually boost network throughput, yet it also causes a high frame-error rate (FER), which is undesirable for many real-time applications. This paper proposes a novel scheme, the Error-Sensitive Adaptive Frame Aggregation (ESAFA). The ESAFA utilizes the two-layer frame aggregation method specified in 802.11n. It dynamically adjusts the frame aggregation size according to the current channel conditions to satisfy the FER level required by the application. Performance evaluation shows that, when compared with an existing scheme, OFA (Optimal Frame Aggregation), ESAFA greatly improves network throughput and decreases delay, especially in error-prone channels. It also satisfies the FER required by applications in most conditions. We believe that the proposed method is significant for supporting ubiquitous, seamless multimedia services over high-speed WLAN.