3G long term evolution (LTE) introduces stringent needs in order to provide different kinds of traffic with Quality of Service (QoS)\ncharacteristics. The major problem with this nature of LTE is that it does not have any paradigm scheduling algorithm that will\nideally control the assignment of resources which in turn will improve the user satisfaction. This has become an open subject and\ndifferent scheduling algorithms have been proposed which are quite challenging and complex. To address this issue, in this paper,\nwe investigate how our proposed algorithm improves the user satisfaction for heterogeneous traffic, that is, best-effort traffic such as\nfile transfer protocol (FTP) and real-time traffic such as voice over internet protocol (VoIP). Our proposed algorithm is formulated\nusing the cross-layer technique. The goal of our proposed algorithm is to maximize the expected total user satisfaction (totalutility)\nunder different constraints. We compared our proposed algorithm with proportional fair (PF), exponential proportional\nfair (EXP-PF), and U-delay. Using simulations, our proposed algorithm improved the performance of real-time traffic based on\nthroughput, VoIP delay, and VoIP packet loss ratio metrics while PF improved the performance of best-effort traffic based on FTP\ntraffic received, FTP packet loss ratio, and FTP throughput metrics.
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