A New Construction Structure on Coded Caching with Linear Subpacketization: Non-Half-Sum Latin Rectangle

📅 2026-01-15
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🤖 AI Summary
This work addresses the challenge in coded caching of simultaneously achieving low subpacketization and low transmission load. To this end, the authors propose a novel combinatorial structure—Non-Half-Sum Latin Rectangles (NHSLRs)—constructed via combinatorial design theory and integrated with coded multicast and local caching mechanisms, thereby extending the design framework for linear subpacketization schemes. For the first time, this approach generalizes the subpacketization level from the fixed value \( F = K \) to a broader linear scale \( F = \mathcal{O}(K) \), maintaining linear complexity with respect to the number of users while significantly reducing transmission load. The resulting scheme outperforms existing linear approaches and approaches the efficiency of certain exponential-subpacketization schemes.

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📝 Abstract
Coded caching is recognized as an effective method for alleviating network congestion during peak periods by leveraging local caching and coded multicasting gains. The key challenge in designing coded caching schemes lies in simultaneously achieving low subpacketization and low transmission load. Most existing schemes require exponential or polynomial subpacketization levels, while some linear subpacketization schemes often result in excessive transmission load. Recently, Cheng et al. proposed a construction framework for linear coded caching schemes called Non-Half-Sum Disjoint Packing (NHSDP), where the subpacketization equals the number of users $K$. This paper introduces a novel combinatorial structure, termed the Non-Half-Sum Latin Rectangle (NHSLR), which extends the framework of linear coded caching schemes from $F=K$ (i.e., the construction via NHSDP) to a broader scenario with $F=\mathcal{O}(K)$. By constructing NHSLR, we have obtained a new class of coded caching schemes that achieves linearly scalable subpacketization, while further reducing the transmission load compared with the NHSDP scheme. Theoretical and numerical analyses demonstrate that the proposed schemes not only achieves lower transmission load than existing linear subpacketization schemes but also approaches the performance of certain exponential subpacketization schemes.
Problem

Research questions and friction points this paper is trying to address.

coded caching
subpacketization
transmission load
linear subpacketization
Innovation

Methods, ideas, or system contributions that make the work stand out.

coded caching
linear subpacketization
Non-Half-Sum Latin Rectangle
transmission load reduction
combinatorial design
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Yongcheng Yang
Guangxi Key Lab of Multi-source Information Mining & Security, Guangxi Normal University, Guilin 541004, China
Minquan Cheng
Minquan Cheng
Guangxi Normal University
Coding TheoryCombinatoricsInformation Theory
K
Kai Wan
School of Electronic Information and Communications, Huazhong University of Science and Technology, 430074 Wuhan, China
Giuseppe Caire
Giuseppe Caire
Professor, Technical University of Berlin, Germany, and Professor of Electrical Engineering (on
Information TheoryCommunicationsSignal ProcessingStatistics