Cache Partitioning and Caching Strategies for Device-to-Device Caching Systems

Kang, Chung G.

doi:10.1109/access.2021.3049442

Cited by 7 publications

(3 citation statements)

References 68 publications

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“…If the content is not in the cache, it is retrieved over the wireless network. To avoid unnecessary confusion, this paper does not consider self-offloading [15], but rather D2D offloading when a cache is installed in a device. Assuming that a cache can store E pieces of content, this paper investigates how many of the E pieces stored in the cache are personal content and how many are common content.…”

Section: B Caching Systemmentioning

confidence: 99%

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Content Caching Strategies With On-Device Recommendation Systems in Wireless Caching Systems

Rim

2024

IEEE Access

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Wireless network traffic is exploding, mainly due to the growth of video streaming services. To cope with the increase of mobile traffic in wireless networks, techniques for installing content caches in base stations or devices are being investigated. Although the amount of total content is huge, the capacity of a cache installed in base stations or devices is limited, so efficient caching methods are needed to improve the hit ratio. To this end, we can consider content recommendation systems on devices. Since many users tend to select and watch videos from recommended content, a cache can improve its hit ratio by storing content that is more likely to be recommended on each device. This paper discusses how caching systems differ when devices recommend content versus when they do not. It also discusses how caching systems differ when recommendations are made based on cached content versus when they are not. Content with high average preferences should be cached without recommendations, while the caching system should take personal preferences into account when recommending content personally preferred by each device. This is especially true for cache-independent recommendation systems, since each device will recommend personal favorites regardless of cached content. If the cache size is very large compared to the number of recommended contents, the consideration of cached content in recommendation systems may become less important, since much personal content should be cached anyway. The simulation results show that caching schemes with recommendation systems can differ significantly from those without.

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Section: B Caching Systemmentioning

confidence: 99%

“…Although the total number of contents is huge, the capacity of a cache installed on a base station or a device is limited. Therefore, it is crucial to improve the efficiency of caches [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Content Caching Strategies With On-Device Recommendation Systems in Wireless Caching Systems

Rim

2024

IEEE Access

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“…These works consider the social relationship between the MUs [18] and the video encoding rates (video versions with different qualities) [19] to enhance the QoS and the caching performance. When D2D communications with caching play an important role in a large scale of B5G/6G networks, a D2D caching system should be studied to gain an excellent caching performance [20]. To do so, the hit ratio is divided into six parts depending on the offloading status (selfoffloading and D2D offloading), preferences of MUs (common MUs and individual MUs), and patterns of contents (little temporal changes and large temporal changes).…”

Section: A Unicast D2d Communicationsmentioning

confidence: 99%

Spectrum Sharing and Power Allocation Optimised Multihop Multipath D2D Video Delivery in Beyond 5G Networks

Tran

Bui

et al. 2022

IEEE Trans. Cogn. Commun. Netw.

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In this paper, we propose a joint spectrum and power optimisation (SPO) for multi-hop multi-path (MHMP) device-to-device (D2D) video delivery in beyond 5G (B5G/6G) networks, where the system resources such as spectrum, energy, storage, and content of mobile users (MUs), are taken into account. Particularly, the downlink spectrum resources of the sharing users (SUs) are reused by the transmitters (TXs) of D2D hops and the energy resources of the TXs are utilised for D2D communications. We further exploit the videos stored in the caching users (CUs) located more than one D2D hop far away from the requesting users (RUs) to establish MHMP D2D video delivery sessions from the CUs to the RUs. Then, the SPO problem is formulated for the optimal spectrum sharing pairs of SUs and TXs and the optimal transmission powers allocated to the TXs. Genetic algorithms (GAs) are developed to solve the SPO problem with respect to both binary variable (spectrum sharing) and real variable (power allocation). The SPO solution allows the RUs to alternately request the videos not only from the macro base station over conventional cellular networks but also from the CUs over MHMP D2D communications at the highest quality of service, i.e., maximum video delivery capacity and low power consumption. Simulation results are analysed to demonstrate the feasibility of GAs and the benefits of the proposed SPO solution in comparison with other conventional schemes.

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The Deployment of Sustainable 5G Networks

Fu¹,

O’Farrell²

2023

Reference Module in Earth Systems and Environmental Sciences

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Cache Partitioning and Caching Strategies for Device-to-Device Caching Systems

Cited by 7 publications

References 68 publications

Content Caching Strategies With On-Device Recommendation Systems in Wireless Caching Systems

Content Caching Strategies With On-Device Recommendation Systems in Wireless Caching Systems

Spectrum Sharing and Power Allocation Optimised Multihop Multipath D2D Video Delivery in Beyond 5G Networks

The Deployment of Sustainable 5G Networks

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