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11th IEEE International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Ma, Lingyu Zhang, Haixia Li, Tiantian Yuan, dongfeng Shandong Univ Shandong Prov Key Lab Wireless Commun Technol Jinan 250100 Peoples R China

ISBN: (纸本)9781728135557

device-to-device (d2d) caching has recently been proposed as a promising solution to alleviate the traffic burden for cellular networks. In such d2d caching-enabled networks, the cache strategy including where to cache and how to cache has a substantial impact on the system performance in terms of traffic offloading. In this paper, we propose a comprehensive cooperative caching strategy based on deep learning and social relationship, aiming at effectively reducing the traffic load of d2d cellular networks. An optimization problem is formulated to maximize the data offloading ratio by finding appropriate caching nodes and designing content placement strategies. To find the solution, a heuristic algorithm including content request prediction and content placement is developed. For content request prediction, we propose a method based on the neural network collaborative filtering (NCF) algorithm, which can improve the prediction accuracy by fusing recommendation algorithm and deep learning. For content placement, we develop a multi-user cooperative caching mechanism based on the social relationship and user activity level. Simulation results demonstrate that the proposed caching policy can achieve effective data offloading.

关键词： d2d caching traffic offloading deep learning user preference mobile social networks

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R2-d2d: A Novel deep Learning Based Content-caching Framework for d2d Networks 93

R2-D2D: A Novel Deep Learning Based Content-Caching Framewor...

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IEEE 93rd Vehicular Technology Conference (VTC-Spring)

作者： Chakraborty, Souradeep Bajpai, Rahul Gupta, Naveen BITS Pilani Dept Elect & Elect Engn KK Birla Goa Campus Sancoale Goa India

ISBN: (纸本)9781728189642

The explosive growth of wireless data and traffic, accompanied by the rapid advancements in intelligence and processing power of user equipments (UEs), has paved the way for device-to-device (d2d) communication technology to surface as a promising solution. One major benefit is that users can collaboratively cache and share content to reduce costs associated with backhaul links. In this paper, we explore different approaches to cache content for users in a d2d enabled environment and propose a novel two-stacked approach to achieve a higher cache-hit ratio while leveraging advancements in deep learning. We propose the 'R2-d2d' framework, wherein we use Long Short-Term Memory (LSTM) networks stacked with a recently developed omni-scale convolutional neural network (CNN) for making the caching decision. Unlike most previous works, the proposed system model works without any apriori knowledge like file popularity distribution, or any assumptions like stationarity of the environment. Our experiments show that the proposed framework learns well from historical information, obtaining an overall average d2d cache hit ratio of 0.418 when 5000 timesteps of historical information were provided, outperforming a recently proposed neural network collaborative filtering (NCF) framework by approximately 10% to 25%.

关键词： d2d caching deep learning machine learning traffic offloading edge intelligence

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Content Prefetching of Mobile caching devices in Cooperative d2d Communication Systems

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IEEE ACCESS 2020年 8卷 141331-141341页

作者： Rim, Minjoong Kang, Chung G. Dongguk Univ Dept Informat & Commun Engn Seoul 04620 South Korea Korea Univ Sch Elect Engn Seoul 02841 South Korea

The increase of mobile traffic volume in a wireless network using high carrier frequency can lead to coverage and backhaul bottleneck issues, and these issues can be solved by the use of device-to-device (d2d) caching technology that installs a content cache on a device and uses d2d communication to supply contents to other devices. In this paper, a special device that can supply contents using d2d communication to other devices is called a helper, while a device that can receive contents from a helper is called user equipment (UE). Even though a helper may have a large storage capacity compared to a UE, the cache capacity of a helper is still limited, making it difficult to obtain a sufficient hit ratio using a caching scheme based on the long-term content popularity of a large number of UEs while considering the distant future. In this paper, to solve the problem of the conventional d2d caching system, we suggest instead updating the cache contents based on the short-term content preference of individual user for the near future. In the proposed caching scheme, a UE in an area with insufficient data supply predicts the content that will be consumed in the near future. This information is then passed to a mobile helper moving along a predictable travel path, such as a bus and a self-driving car that is passing through or will pass though an area with sufficient data supply. Then, the mobile helper prefetches the contents and moves to update the cache of the nomadic or fixed helper near the UE. The simulation results show that content prefetching considering each UE and the near future can achieve better performance than content caching considering a large number of UEs and the distant future.

关键词： device-to-device communication Prefetching Base stations Wireless communication Narrowband Content prefetching content caching d2d communication wireless caching mobile caching d2d caching

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Cache- and Energy Harvesting-Enabled d2d Cellular Network: Modeling, Analysis and Optimization

IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING

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IEEE TRANSACTIONS ON GREEN COMMUNICATIONS ANd NETWORKING 2021年第2期5卷 703-713页

作者： Meng, Yue Zhang, Zhi Huang, Yuzhen Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing 100088 Peoples R China Def Innovat Inst Artificial Intelligence Res Ctr Beijing 100166 Peoples R China Beijing Univ Posts & Telecommun Sch Informat & Commun Beijing 100876 Peoples R China

With the improvement of quality of service requirement and the increase of energy expenditure, integrating caching and energy harvesting (EH) to device-to-device (d2d) communication is a prospective but challenging research. In this paper, we focus on investigating the network performance with stochastic geometry for cache- and EH-enabled d2d cellular network, in which each mobile user (MU) can cache contents from the base station and be charged through EH. Specifically, taking into account the knowledge of the energy states and the requested contents, along with the randomness of content caching, each MU can fetch its requested file via three modes, i.e., self-satisfied, d2d communication and cellular downlink communication. In view of this observation, stochastic geometry is applied to analyze the system transmission model, and from which the content delivery strategies are designed, as well as the cache hit probability and successful transmission probability are characterized under three modes, respectively. Based on the analyzed results, two probabilistic caching strategies with different objectives are further designed to maximize the cache hit probability and the network successful offloading probability. Finally, comprehensive simulations are provided to analyze the effect of different parameters on network performance and verify the superiority of the proposed caching strategies.

关键词： device-to-device communication Geometry Cellular networks Stochastic processes Throughput Mobile handsets Energy harvesting d2d caching energy harvesting caching strategy successful offloading probability stochastic geometry

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A near-optimal content placement in d2d underlaid cellular networks

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PEER-TO-PEER NETWORKING ANd APPLICATIONS 2020年第5期13卷 1799-1813页

作者： Feng, Guangsheng Wang, Yue Li, Bingyang Li, Yafei Lv, Hongwu Wang, Chengbo Gao, Zihan Wang, Huiqiang Harbin Engn Univ Harbin 150001 Peoples R China

The rapid growth of mobile data traffic, especially video streaming traffic, places a serious burden on cellular networks. d2d caching has emerged as a promising paradigm to alleviate network congestions, in which contents are cached at user terminals proactively and then shared among neighbor requesting users via d2d communications. In this paper, we study the content placement problem to maximize cache hit probability (i.e., the probability that contents requested by users are successfully served by neighbor helpers through d2d communications) in d2d underlaid cellular networks. To decide where to cache and which contents to be pushed, we formulate our problem considering d2d communication probability of helpers and preference probability of requesting users. Then our problem is proved to be a submodular function maximization problem under a matroid constraint. To solve this problem, we present an improved greedy algorithm which can achieve an approximation guarantee of min(1, 1 v0+ 1 tmin), based on the classic 12 -approximation algorithm. Simulation results show that our proposed scheme achieves higher cache hit probability and lower energy consumption compared with existing caching schemes.

关键词： d2d caching Content placement Mode selection User preference

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Cache Partitioning and caching Strategies for device-to-device caching Systems

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IEEE ACCESS 2021年 9卷 8192-8211页

作者： Rim, Minjoong Kang, Chung G. Dongguk Univ Dept Informat & Commun Engn Seoul 04620 South Korea Korea Univ Sch Elect Engn Seoul 02841 South Korea

The amount of traffic in wireless networks is increasing exponentially, and this problem can be mitigated using device-to-device (d2d) caching technology, which installs a cache on a mobile end device. devices can reduce the cell load through self-offloading via content in their own cache and d2d offloading using content in others' caches. However, especially in the early stage of d2d caching systems, a limited number of devices with a small storage might be used, and it is required to develop a caching scheme with excellent performance despite the small cache size. Regarding content popularity, which is common to most users, the preference probability values are not concentrated on some pieces of content, making it difficult to achieve satisfactory performance using a small cache. On the other hand, when considering individual users, content preferences may contain large values for specific content based on individual characteristics. In addition, the performance can be improved by considering short-term content preferences that reflect changes in content preferences over time or newly created content during peak hours. In this article, the hit ratio is divided into six parts considering self- and d2d offloading, common and individual user preferences, and little and large temporal changes in content preferences during peak hours. We also conceptually divide the cache of a helper into six areas in relation to the six parts of the hit ratio, and discuss cache partitioning and proactive caching strategies according to the environment.

关键词： device-to-device communication Base stations Performance evaluation Wireless networks High frequency Explosions Broadband communication d2d caching wireless caching mobile caching content preference cache partitioning data offloading

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A Rainbow Framework for Coded caching and Its Applications

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IEEE TRANSACTIONS ON INFORMATION THEORY 2024年第3期70卷 1738-1752页

作者： Xu, Min Xu, Zixiang Ge, Gennian Liu, Min-Qian Nankai Univ Sch Stat & Data Sci NITFID LPMC Tianjin 300071 Peoples R China Nankai Univ Sch Stat & Data Sci KLMDASR Tianjin 300071 Peoples R China Capital Normal Univ Sch Math Sci Beijing 100048 Peoples R China Inst for Basic Sci Korea Extremal Combinator & Probabil Grp Daejeon 34126 South Korea

The centralized coded caching focuses on reducing the network burden in peak times in a wireless network system. In this paper, motivated by the study of the only rainbow 3-term arithmetic progressions set, we propose a combinatorial framework for constructing coded caching schemes. This framework builds bridges between coded caching schemes and lots of combinatorial objects due to the freedom of the choices of families and binary operations. We prove that any scheme based on a placement delivery array (PdA) can be represented by a rainbow scheme under this framework and lots of other known schemes can also be included in this framework. Moreover, we also present a new coded caching scheme with linear subpacketization and near constant rate using the only rainbow 3-term arithmetic progressions set. Finally, we modify the framework to be applicable to the coded caching problem in device-to-device (d2d) networks and the distributed computing problem.

关键词： Coded caching scheme d2d caching combinatorial framework only rainbow arithmetic progressions set

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Content caching Strategies With On-device Recommendation Systems in Wireless caching Systems

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IEEE ACCESS 2024年 12卷 28186-28200页

作者： Rim, Minjoong Dongguk Univ Dept Informat & Commun Engn Seoul 04620 South Korea

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 total amount of 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.

关键词： Recommender systems Wireless networks Base stations Streaming media device-to-device communication Simulation Performance evaluation Cache storage Content management Wireless caching mobile caching d2d caching recommendation content preference data offloading hit ratio

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Mobility-Aware Content Placement for device-to-device caching Systems

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2019年第7期18卷 3658-3668页

作者： Song, Jaeyoung Choi, Wan Korea Adv Inst Sci & Technol Sch Elect Engn Daejeon 34141 South Korea

User mobility has a large effect on optimal content placement in device-to-device (d2d) caching networks. Since a typical user can communicate neighboring users who stay in the d2d communication area of the typical user, the optimal content placement should be changed according to the user mobility. Under consideration of randomness of incoming and outgoing users, we formulate an optimization problem to minimize the average data load of a BS. It is proved that minimization of the average data load of a BS can be transformed to maximization of a monotonic submodular function with a matroid constraint, for which a greedy algorithm can find near-optimal solutions. Moreover, when motions of neighboring users are rapid, the optimal content placement is derived in closed-form, aided by reasonable approximation and relaxation. In the high mobility regime, the optimal content placement is shown to cache partial amounts of the most popular contents.

关键词： Mobility caching content placement optimal content placement wireless edge caching d2d caching

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5G Optimized caching and downlink Resource Sharing or Smart Cities

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IEEE ACCESS 2018年 6卷 31457-31468页

作者： Nguyen-Son Vo duong, Trung Q. Guizani, Mohsen Kortun, Ayse Duy Tan Univ Da Nang Vietnam Queens Univ Belfast Belfast BT7 1NN Antrim North Ireland Univ Idaho Moscow ID 83844 USA

In smart cities, millions of things, systems, and people are interconnected and communicate with each other over wireless sensor networks, Internet of Things (IoT), and 5G networks. A tremendous amount of data traffic, which is frequently generated by the things in wireless multimedia sensor networks (WMSNs) and/or IoT, is accessed by a massive number of mobile users (MUs). These MUs are all competing to access the 5G network for data as well as urban applications and services. This can in turn cause exhaustion to the 5G network. In such cases, users can experience low data delivery and traffic congestions through backhaul links by macro base stations (MBSs). In this paper, we propose a joint caching and downlink resource sharing optimization framework (CSF) in 5G networks to assist WMSNs to efficiently deliver multimedia contents to the MUs. The CSF enables the MBSs to optimally decide how many replicas of each multimedia content to cache in which fem to base stations for high multimedia content hit rate. It also optimally exploits the MUs that are willing to share their downlink resources and that have retrieved multimedia contents, for offloading with device-to-device communications. The objective is to eventually maximize the system delivery capacity. Simulation results demonstrate that the CSF provides the best performance in terms of hit rate and system delivery capacity.

关键词： 5G caching d2d caching d2d communications downlink resource sharing fem to caching femtocell macrocell smart city wireless multimedia sensor networks

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