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Finding Fountain Codes for Real-Time Data by Fixed Point Method

机译:通过固定点方法查找用于实时数据的喷泉码

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We study fountain coding-like transfer method over a packet erasure channel for data with real-time requirements, such as streaming video or voice. The proposed method uses a sliding window, which defines the current section of non-expired data. The coding is systematic, with new blocks entering the window being initially sent intact, followed by a possible correction packet. Two different strategies for correction packet sending are studied. In both methods correction packets are generated in fountain-coding like fashion using bitwise XOR-operation for addition of source blocks. The correction packets are constructed so as to maximize the probability of immediately decoding useful data at the receiver's end, based on the sender's belief on the receiver's state. After sending the correction packet this belief is updated. Fixed point iteration is used to find the stationary solution in long streams. The two methods differ in the details how the window is moved and how exactly the correction packets are generated. We study the performance of proposed methods and give theoretical and simulation results for both of the used approaches.
机译:我们在数据包擦除通道上研究喷泉编码传输方法,以进行具有实时要求的数据,例如流式视频或语音。所提出的方法使用滑动窗口,该滑动窗体定义了非过期数据的当前部分。编码是系统的,新块进入最初发送完整的窗口,然后是可能的校正包。研究了两种不同的校正包发送策略。在这两种方法中,使用按位XOR操作以添加源块,在类似于时尚的喷墨编码中生成校正分组。构造校正分组,以便最大化在接收者端在接收器结束时立即解码有用数据的概率,基于发送者对接收者的状态。发送修正包后,此信件已更新。固定点迭代用于在长流中找到静止解决方案。这两种方法在详细信息中不同,窗口如何移动,以及校正分组的究竟是如何生成的。我们研究了所提出的方法的表现,并为两种使用的方法提供理论和仿真结果。

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