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In traditional communication system, information of APP (Application) layer,transport layer and MAC (Media Access Control)layer has not been fullyinteracted,which inevitably leads to inconsistencies among TCP congestionstate, clients'requirements and resource allocation. To solve the problem, wepropose a joint optimization framework, which consists of APP layer, transportlayer and MAC layer, to improve the video clients'playback experience andsystem throughput. First, a client requirement aware autonomous packet dropstrategy, based on packet importance, channel condition and playback status, isdeveloped to decrease the network load and the probability of rebufferingevents. Further, TCP (Transmission Control Protocol) state aware downlink anduplink resource allocation schemes are proposed to achieve smooth videotransmission and steady ACK (Acknowledgement) feedback respectively. Fordownlink scheme, maximum transmission capacity requirement for each client iscalculated based on feedback ACK information from transport layer to avoidallocating excessive resource to the client, whose ACK feedback is blocked dueto bad uplink channel condition. For uplink scheme, information of RTO(Retransmission Timeout) and TCP congestion window are utilized to indicate ACKscheduling priority. The simulation results show that our algorithm cansignficantly improve the system throughput and the clients'playback continuitywith acceptable video quality.

Playback experience driven cross layer optimisation of APP, transport and MAC layer for video clients over long-term evolution system