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IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY 2022年 3卷 912-920页

作者： Bajpai, Rahul Chakraborty, Souradeep Gupta, Naveen BITS Pilani Dept Elect & Elect Engn KK Birla Goa Campus Pilani 403726 Goa India

Recently, we have witnessed an expeditious growth in the intelligence and processing ability of user equipment accompanied by the explosive increase of wireless data and traffic. With such a huge demand, and a shortage of resources to fulfill that need, device-to-device (d2d) communication has surfaced as a propitious solution to reduce costs associated with backhaul links by collaboratively caching files. This paper explores the existing content caching frameworks in d2d communication environments. Further, it proposes two novel frameworks - one leveraging a combination of recurrent and deep neural networks and another based on the latest deep language models that use attention mechanisms known as transformers. The developed frameworks require minimum apriori knowledge about the environment and utilize the growth of user data to achieve performance enhancement. Our experiments show that the proposed frameworks are adaptive in nature and learn from the historical data of the environment. Further, we achieve an overall 25% increase in the d2d cache hit rate over a recently proposed framework that uses neural networks for collaborative filtering (NCF) to make caching decisions.

关键词： device-to-device communication Costs Predictive models Transformers deep learning Complexity theory Stochastic processes Traffic offloading d2d caching machine learning deep learning edge intelligence time-series

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device-to-device-Assisted Communications in Cellular Networks: An Energy Efficient Approach in downlink Video Sharing Scenario

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2016年第2期15卷 1575-1587页

作者： Shen, Yanyao Jiang, Chunxiao Quek, Tony Q. S. Ren, Yong Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China Singapore Univ Technol & Design Singapore 487372 Singapore

Cellular network is widely used and device-to-device (d2d)-assisted approaches have been proposed for improving performance on spectrum efficiency, overall throughput and energy efficiency. However, few of them have considered the downlink transmission for multiple concurrent devices from an energy efficiency perspective. In this paper, we focus on a d2d-assisted cellular communication in video stream sharing scenario. Two energy saving solutions for downlink transmission are proposed with constraint on d2d cluster's energy consumption. We take peak signal-to-noise ratio (PSNR) as the measurement for video quality and consider both the downlink transmission energy and reception energy. In particular, we propose the d2d cluster formation approach and the d2d caching performance both for the purpose of energy saving, with distributed merge-and-split algorithm adopted from the perspective of coalition game theory and a relaxation factor defined to give constraints on total energy consumption for each cluster. Both d2d cluster and d2d caching approaches are effective for energy saving for the BS combined with all user devices;however, d2d cluster brings an unfairness problem between the cluster head and other cluster nodes. Therefore, we compare the two approaches on energy saving performance as well as fairness measurement. Moreover, a centralized algorithm for d2d cluster is also proposed as a benchmark for the distributed d2d cluster algorithm. Simulation result shows considerable amount of energy saving in the proposed d2d cluster and caching assisted cellular network for video stream sharing problem.

关键词： downlink transmission energy saving d2d cluster d2d caching distributed algorithm video transmission

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Peak-Hour caching Schemes of Mobile devices for Overload Cells in Wireless caching Systems

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IEEE ACCESS 2020年 8卷 195274-195289页

作者： Rim, Minjoong Kang, Chung G. Dongguk Univ Dept Informat & Commun Engn Seoul 04620 South Korea Korea Univ Sch Elect Engn Seoul 136701 South Korea

In the case of broadband wireless communication systems with high carrier frequencies, high-speed wireless communication is feasible, but if high-capacity backhaul is not supplied to all base stations, a backhaul bottleneck may occur. To solve this backhaul bottleneck problem, one can use wireless caching or device-to-device (d2d) caching technology that installs a cache on a mobile end device, use the cache to store video content, and then supply the video content when requested by other end devices. Prior to peak traffic hours, video content can be stored on mobile end devices according to the content preferences, but it is difficult to solve cell overload problems that occur during peak traffic hours. This is because peak traffic hours can persist for a long time, and thus device positions, content preferences, and cell loads are liable to change during peak traffic hours. Providing broadband radio and high-capacity backhaul to all cells can create cost issues, but if there are some cells with broadband wireless resources and high-capacity backhaul, these cells may often support sufficient data even during peak traffic hours. If a mobile end device can intermittently enter a cell with sufficient data supply, it can update its cache using some short-term information. In this paper, we compare wireless caching schemes that update the caches of mobile end devices during peak traffic hours with the goal of reducing overload data. If high-capacity base stations are installed within a certain distance interval from each other to reduce the content update period, then good performance can be obtained by frequently updating the caches while considering the short-term content preferences of nearby overload cells. In addition, if a mobile device can predict its movement path, performance can be further improved by considering only the overload cells in the predicted path.

关键词： Wireless communication Base stations Broadband communication Performance evaluation Prefetching device-to-device communication Communication system security d2d caching wireless caching mobile caching peak-hour caching content prefetching overload cell data offloading

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Mixed Micro/Macro Cache for device-to-device caching Systems in Multi-Operator Environments

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SENSORS 2024年第14期24卷 4518页

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

In a device-to-device (d2d) caching system that utilizes a device's available storage space as a content cache, a device called a helper can provide content requested by neighboring devices, thereby reducing the burden on the wireless network. To enhance the efficiency of a limited-size cache, one can consider not only macro caching, which is content-based caching based on content popularity, but also micro caching, which is chunk-based sequential prefetching and stores content chunks slightly behind the one that a nearby device is currently viewing. If the content in a cache can be updated intermittently even during peak hours, the helper can improve the hit ratio by performing micro caching, which stores chunks that are expected to be requested by nearby devices in the near future. In this paper, we discuss the performance and effectiveness of micro d2d caching when there are multiple operators, the helpers can communicate with the devices of other operators, and the operators are under a low load independently of each other. We also discuss the ratio of micro caching in the cache area when the cache space is divided into macro and micro cache areas. Good performance can be achieved by using micro d2d caching in conjunction with macro d2d caching when macro caching alone does not provide sufficient performance, when users are likely to continue viewing the content they are currently viewing, when the content update cycle for the cache is short and a sufficient number of chunks can be updated for micro caching, and when there are multiple operators in the region.

关键词： d2d caching wireless caching micro caching multi-operator hit ratio offloading

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Fundamentals of Cluster-Centric Content Placement in Cache-Enabled device-to-device Networks

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IEEE TRANSACTIONS ON COMMUNICATIONS 2016年第6期64卷 2511-2526页

作者： Afshang, Mehrnaz dhillon, Harpreet S. Chong, Peter Han Joo Virgina Tech Dept Elect & Comp Engn Wireless VT Blacksburg VA 24061 USA Auckland Univ Technol Dept Elect & Elect Engn Auckland 1010 New Zealand

This paper develops a comprehensive analytical framework with foundations in stochastic geometry to characterize the performance of cluster-centric content placement in a cache-enabled device-to-device (d2d) network. different from device-centric content placement, cluster-centric placement focuses on placing content in each cluster, such that the collective performance of all the devices in each cluster is optimized. Modeling the locations of the devices by a Poisson cluster process, we define and analyze the performance for three general cases: 1) k-Tx case: the receiver of interest is chosen uniformly at random in a cluster and its content of interest is available at the kth closest device to the cluster center;2) l-Rx case: the receiver of interest is the lth closest device to the cluster center and its content of interest is available at a device chosen uniformly at random from the same cluster;and 3) baseline case: the receiver of interest is chosen uniformly at random in a cluster and its content of interest is available at a device chosen independently and uniformly at random from the same cluster. Easy-to-use expressions for the key performance metrics, such as coverage probability and area spectral efficiency of the whole network, are derived for all three cases. Our analysis concretely demonstrates significant improvement in the network performance when the device on which content is cached or device requesting content from cache is biased to lie closer to the cluster center compared with the baseline case. Based on this insight, we develop and analyze a new generative model for cluster-centric d2d networks that allows to study the effect of intra-cluster interfering devices that are more likely to lie closer to the cluster center.

关键词： d2d caching cluster-centric content placement clustered d2d network Poisson cluster process Thomas cluster process stochastic geometry

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Cache-enabled d2d Communication: A Social Perspective 28

Cache-enabled D2D Communication: A Social Perspective

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28th Annual IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

作者： Wang, Yue Tao, Xiaofeng Zhang, Xuefei Beijing Univ Posts & Telecommun Beijing 100876 Peoples R China

ISBN: (纸本)9781538635315

caching the popular multimedia contents at the wireless edge such as mobile devices, has been identified as a key technology to unleash the ultimate potential of wireless networks. In addition to the physical link condition, social relationships are also of great importance for effectiveness enhancement of the d2d-based wireless caching network. In this paper, we analyze theoretically the performances of the cache-enabled d2d underlaid cellular network with the heterogeneous caching placement, while taking the role of social interaction into account. In this scenario, we firstly derive the achievable average ergodic rate that satisfies a successful content delivery by utilizing the social interaction statistics along with channel statistics with the aid of stochastic geometry. Then the successful transmission probability under the constraint of social interaction is further derived. Based on the expression, we reveal the impact of physical layer and content-related parameters on the network performance. Simulation results validate the accuracy of theoretical analysis and provide the condition when the network performance can benefit from d2d caching.

关键词： d2d caching social-aware interference distribution

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Fundamentals of Cluster-Centric Content Placement in device-to-device Networks

Fundamentals of Cluster-Centric Content Placement in Device-...

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IEEE Globecom Workshops (GC Wkshps)

作者： Afshang, Mehrnaz dhillon, Harpreet S. Chong, Peter Han Joo Virgina Tech Dept ECE Wireless VT Blacksburg VA USA Nanyang Technol Univ Sch EEE Singapore Singapore

ISBN: (纸本)9781467395267

We develop a comprehensive analytical framework with foundations in stochastic geometry to characterize the performance of cluster-centric content placement in a device-to-device (d2d) network. different from device-centric content placement, cluster-centric placement focuses on placing content in each cluster such that the collective performance of all the devices in each cluster is optimized. Modeling the locations of the devices as a Poisson cluster process, we first show that the coverage-optimal performance can be achieved by placing content of interest for each cluster at the device closest to its cluster center. Since this restricts the frequency reuse within a cluster to one, and may not also be feasible due to storage/energy limitations, we also characterize the network performance in terms of coverage probability and area spectral efficiency (ASE) for a general class of strategies in which the content of interest for the typical device is available at the kth closest device to the cluster center. Our analysis concretely demonstrates significant improvement in network performance when the content of interest for the typical device is biased to lie closer to the cluster center compared to the case when it is placed at a randomly chosen device.

关键词： d2d caching optimal content placement clustered d2d network Thomas cluster process stochastic geometry

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Fundamentals of Cluster-Centric Content Placement in device-to-device Networks

Fundamentals of Cluster-Centric Content Placement in Device-...

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IEEE Globecom Workshops

作者： Mehrnaz Afshang Harpreet S. dhillon Peter Han Joo Chong Wireless@VT Department of ECE Virgina Tech. Blacksburg VA USA Wireless@VT Department of ECE Virgina Tech Blacksburg VA USA School of EEE Nanyang Technological University Singapore

ISBN: (纸本)9781467395274

We develop a comprehensive analytical framework with foundations in stochastic geometry to characterize the performance of cluster-centric content placement in a device-to-device (d2d) network. different from device-centric content placement, cluster-centric placement focuses on placing content in each cluster such that the collective performance of all the devices in each cluster is optimized. Modeling the locations of the devices as a Poisson cluster process, we first show that the coverage-optimal performance can be achieved by placing content of interest for each cluster at the device closest to its cluster center. Since this restricts the frequency reuse within a cluster to one, and may not also be feasible due to storage/energy limitations, we also characterize the network performance in terms of coverage probability and area spectral efficiency (ASE) for a general class of strategies in which the content of interest for the typical device is available at the k~(th) closest device to the cluster center. Our analysis concretely demonstrates significant improvement in network performance when the content of interest for the typical device is biased to lie closer to the cluster center compared to the case when it is placed at a randomly chosen device.

关键词： d2d caching optimal content placement clustered d2d network Thomas cluster process stochastic geometry

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