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ADAPTIVE NETWORK CODING FOR BROADBAND WIRELESS
ACCESS NETWORKS
ABSTRACT:
Broadband wireless access (BWA) networks, such as LTE and WiMAX, are inherently lossy due
to wireless medium unreliability. Although the Hybrid Automatic Repeat reQuest (HARQ) error-
control method recovers from packet loss, it has low transmission efficiency and is unsuitable for
delay-sensitive applications. Alternatively, network coding techniques improve the throughput of
wireless networks, but incur significant overhead and ignore network constraints such as
Medium Access Control (MAC) layer transmission opportunities and physical (PHY) layer
channel conditions.
The present study provides analysis of Random Network Coding (RNC) and Systematic Network
Coding (SNC) decoding probabilities. Based on the analytical results, SNC is selected for
developing an adaptive network coding scheme designated as Frame-by-frame Adaptive
Systematic Network Coding (FASNC). According to network constraints per frame, FASNC
dynamically utilizes either Modified Systematic Network Coding (M-SNC) or Mixed Generation
Coding (MGC). An analytical model is developed for evaluating the mean decoding delay and
mean goodput of the proposed FASNC scheme. The results derived using this model agree with
those obtained from computer simulations.
ECWAY TECHNOLOGIES
IEEE PROJECTS & SOFTWARE DEVELOPMENTS
OUR OFFICES @ CHENNAI / TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE
CELL: +91 98949 17187, +91 875487 2111 / 3111 / 4111 / 5111 / 6111
VISIT: www.ecwayprojects.com MAIL TO: ecwaytechnologies@gmail.com

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Adaptive Network Coding for Wireless Access

  • 1. ADAPTIVE NETWORK CODING FOR BROADBAND WIRELESS ACCESS NETWORKS ABSTRACT: Broadband wireless access (BWA) networks, such as LTE and WiMAX, are inherently lossy due to wireless medium unreliability. Although the Hybrid Automatic Repeat reQuest (HARQ) error- control method recovers from packet loss, it has low transmission efficiency and is unsuitable for delay-sensitive applications. Alternatively, network coding techniques improve the throughput of wireless networks, but incur significant overhead and ignore network constraints such as Medium Access Control (MAC) layer transmission opportunities and physical (PHY) layer channel conditions. The present study provides analysis of Random Network Coding (RNC) and Systematic Network Coding (SNC) decoding probabilities. Based on the analytical results, SNC is selected for developing an adaptive network coding scheme designated as Frame-by-frame Adaptive Systematic Network Coding (FASNC). According to network constraints per frame, FASNC dynamically utilizes either Modified Systematic Network Coding (M-SNC) or Mixed Generation Coding (MGC). An analytical model is developed for evaluating the mean decoding delay and mean goodput of the proposed FASNC scheme. The results derived using this model agree with those obtained from computer simulations. ECWAY TECHNOLOGIES IEEE PROJECTS & SOFTWARE DEVELOPMENTS OUR OFFICES @ CHENNAI / TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE CELL: +91 98949 17187, +91 875487 2111 / 3111 / 4111 / 5111 / 6111 VISIT: www.ecwayprojects.com MAIL TO: ecwaytechnologies@gmail.com