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Long Term Evolution “LTE” is considered to be one of the most important and latest communication technologies falling under the fourth generation of cellular communications technology 4G. LTE supports high-speed and large bandwidth which makes it a great candidate to providing the potential to improve the Quality of Service "QoS" associated with specific types of data transfer. As a consequence, researchers have paid their attentions to this type of networks. In fact, it was a great challenge for researchers to achieve a good level of QoS for all users as the LTE provides Audio and Data transmission to users at the same time.
Wireless networks suffer from frequent loss of packets for many reasons such as interference, collision and fading. This makes wireless medium unreliable medium for data transfer. The main methods for ensuring the reliability in this medium are usi ng transmission control protocol (TCP) and the automatic repeat request (ARQ). Recently, network coding has been found as new technology that changes the traditional forwarding method (Store- and- Forward) in the networks to more effective and intelligent method (Code- and- Forward), which contributes to the increase of both capacity and throughput of these networks. In this research, random linear network coding is used as promising technology that aims to achieve the reliable transfer of data in losing wireless networks, and studying the enhancement that this technology presents to the performance of these networks in unicast and multicast transmission. For evaluating the efficiency of this technology and comparing its performance with the performance of reliable transfer protocols, we use the networks simulator (NS3). Simulation results showed that random linear network coding achieve the reliable transfer of data with bigger throughput and less delay and number of transmission compared with the protocols (TCP, ARQ).
Research paper on the TCP protocol and its handling of bottlenecks, with a simple comparison between several copies of the protocol.
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