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arXiv 2102.01526cs.ITmath.IT
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广播速率需要大小为36的单播索引编码实例中的非线性编码

Broadcast Rate Requires Nonlinear Coding in a Unicast Index Coding Instance of Size 36

Arman Sharififar, Parastoo Sadeghi, Neda Aboutorab

摘要:

首先通过提供仅可通过非线性网络编码解决的实例来证明网络编码问题的线性编码的不足(Doughnesset al.,2005).基于Effros等人的工作,2015中,该特定网络编码实例可以被建模为具有74个消息和80个用户的组播索引编码(GIC)实例(其中消息可以由多个用户请求)。这证明了线性编码对于GIC问题的不足。使用Maleki等人提出的系统方法,2014年,上述GIC实例可以被投射到具有200多个用户的单播索引编码(UIC)实例中,每个用户都想要唯一的消息。这证实了UIC问题的非线性编码的必要性,但仅用于实现整个容量区域。然而,是否需要非线性编码来实现UIC问题的对称容量(广播速率)的问题仍然是开放的。本文通过直接构造一个只有36个用户的UIC实例,证明了线性编码的不足,并给出了一个非线性索引码优于最优线性编码的广播速率。

英文摘要:

Insufficiency of linear coding for the network coding problem was first proved by providing an instance which is solvable only by nonlinear network coding (Dougherty et al., 2005).Based on the work of Effros, et al., 2015, this specific network coding instance can be modeled as a groupcast index coding (GIC)instance with 74 messages and 80 users (where a message can be requested by multiple users). This proves the insufficiency of linear coding for the GIC problem. Using the systematic approach proposed by Maleki et al., 2014, the aforementioned GIC instance can be cast into a unicast index coding (UIC) instance with more than 200 users, each wanting a unique message. This confirms the necessity of nonlinear coding for the UIC problem, but only for achieving the entire capacity region. Nevertheless, the question of whether nonlinear coding is required to achieve the symmetric capacity (broadcast rate) of the UIC problem remained open. In this paper, we settle this question and prove the insufficiency of linear coding, by directly building a UIC instance with only 36users for which there exists a nonlinear index code outperforming the optimal linear code in terms of the broadcast rate.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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