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On the Broadcast Rate and Fractional Clique Cover of Single Unicast Index Coding Problems

机译:单播索引编码问题的广播速率和分数集团覆盖

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The broadcast rate β of an index coding problem is the minimum number of index code symbols required to transmit to satisfy the demands of all the receivers. The linear broadcast rate β(l) of an index coding problem is the minimum number of index code symbols obtained by linear encoding by using a encoding matrix. Blasiak et al. defined the fractional clique cover number of an undirected graph and used it to bound the broadcast rate of an index coding problem. Lubetzky et al. proved that nonlinear codes can outperform linear codes. In this paper, we find the fractional clique cover number of two classes of symmetric index coding problems. For single unicast index coding problems with symmetric consecutive and neighboring side-information, we prove that broadcast rate is equal to the fractional clique cover number. We define m-dimensional vector index code of an index coding problem by using disjunctive product of side-information graph. We prove that if linear broadcast rate is equal to fractional clique cover number, then, linear broadcast rate is equal to broadcast rate.
机译:索引编码问题的广播速率β是为了满足所有接收机的要求而需要发送的索引符号的最小数量。索引编码问题的线性广播速率β(l)是通过使用编码矩阵进行线性编码而获得的索引编码符号的最小数量。 Blasiak等。定义了无向图的分数集团覆盖数,并用它来限制索引编码问题的广播速率。 Lubetzky等。证明非线性代码可以胜过线性代码。在本文中,我们发现两类对称索引编码问题的分数集团覆盖数。对于具有对称连续和相邻边信息的单个单播索引编码问题,我们证明了广播速率等于分数集团覆盖数。我们通过使用边信息图的析取积定义索引编码问题的m维向量索引码。我们证明如果线性广播速率等于小集团覆盖数,则线性广播速率等于广播速率。

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