Cache Placement in Two-Tier HetNets With Limited Storage Capacity: Cache or Buffer?

Yang, Zhaohui; Pan, Cunhua; Pan, Yijin; Wu, Yongpeng; Xu, Wei; Shikh-Bahaei, Mohammad; Chen, Ming

doi:10.1109/tcomm.2018.2846633

Cited by 43 publications

(34 citation statements)

References 54 publications

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“…. , q in,N C ] be the content request distribution [16] of user i during a period n where q in,k represents the probability that user i requests content k and N C is the total number of contents that each user can request. For different periods, the content request distribution of each user will be different.…”

Section: Data Correlationmentioning

confidence: 99%

Data Correlation-Aware Resource Management in Wireless Virtual Reality (VR): An Echo State Transfer Learning Approach

Chen

Saad

Yin

et al. 2019

IEEE Trans. Commun.

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Providing seamless connectivity for wireless virtual reality (VR) users has emerged as a key challenge for future cloud-enabled cellular networks. In this paper, the problem of wireless VR resource management is investigated for a wireless VR network in which VR contents are sent by a cloud to cellular small base stations (SBSs). The SBSs will collect tracking data from the VR users, over the uplink, in order to generate the VR content and transmit it to the end-users using downlink cellular links.For this model, the data requested or transmitted by the users can exhibit correlation, since the VR users may engage in the same immersive virtual environment with different locations and orientations. As such, the proposed resource management framework can factor in such spatial data correlation, so as to better manage uplink and downlink traffic. This potential spatial data correlation can be factored into the resource allocation problem to reduce the traffic load in both uplink and downlink. In the downlink, the cloud can transmit 360 • contents or specific visible contents (e.g., user field of view) that are extracted from the original 360 • contents to the users according to the users' data correlation so as to reduce the backhaul traffic load. In the uplink, each SBS can associate with the users that have similar tracking information so as to reduce the tracking data size. This data correlation-aware resource management problem is formulated as an optimization problem whose goal is to maximize the users' successful A preliminary version of this work was published in [1].

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Section: Data Correlationmentioning

confidence: 99%

Data Correlation-Aware Resource Management in Wireless Virtual Reality (VR): An Echo State Transfer Learning Approach

Chen

Saad

Yin

et al. 2019

IEEE Trans. Commun.

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“…Since cache memory is usually limited on devices, some contents may not be pre-cached. When delivering uncached contents, the buffer can temporally store the contents as a short-term memory [11]. Considering that CHs usually have a small coverage, contents cached at these CHs (ahead of time) may not be requested by CRs within coverage (later on).…”

Section: Introductionmentioning

confidence: 99%

“…Considering both cache-and buffer-enabled networks, the average delay was optimized with the fixed buffer capacity constraint in [13]. In [11], the authors proposed a joint spectrum allocation and cache placement scheme to optimize the average latency considering the storage capacity constraint. However, both of these two works investigated the effect of buffer on SBS instead of on device level, and thus ignored the effect of inter-device social relations on content delivery.…”

Section: Introductionmentioning

confidence: 99%

Manipulation With Domino Effect for Cache- and Buffer-Enabled Social IIoT: Preserving Stability in Tripartite Graphs

Sun

Wang

et al. 2020

IEEE Trans. Ind. Inf.

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As a new Internet of Things (IoT) paradigm where smart devices work socially by exploiting social tie with adjacent devices, the Social IoT (SIoT) can effectively meet the real-time data sharing demands in Industrial IoT (IIoT) scenario, with the inter-device social relations being incentives. Besides, precaching on device level can potentially combat the backhaul capacity bottlenecks. Considering the limited cache memory, we may not use the whole capacity for caching, but leave a fraction for buffering data packets. In this paper, we investigate how to maximize the quality of experience (QoE) while minimizing the energy consumption. Firstly, we design a proactive cache placement scheme for cost minimization. Next, we conceive the content sharing procedure with the framework of tripartite graph and propose a ternary stable matching algorithm to let devices self-organize the content sharing. Finally, we prove that inconspicuously manipulation with domino effect can further improve the system performance.

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“…They showed that the optimal solution depends on cache sizes and base stations densities. In [28], Yang et al proposed a similar framework to [27]. However, they aimed at minimizing the average file transmission delay through caching and bandwidth allocation.…”

mentioning

confidence: 99%

“…This situation restrains the real potential of the multi-tier network. For [26], no theoretical analysis was realized and optimization is limited to caching placement only, while [27], [28] did not consider D2D communications.…”

mentioning

confidence: 99%

Joint Caching and Resource Allocation in D2D-Assisted Heterogeneous Networks

Jaafar

Ajib

Elbiaze

2018

2018 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)

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5G networks are required to provide very fast and reliable communications while dealing with the increase of users traffic. In Heterogeneous Networks (HetNets) assisted with Device-to-Device (D2D) communication, traffic can be offloaded to Small Base Stations or to users to improve the network's successful data delivery rate. In this paper, we aim at maximizing the average number of files that are successfully delivered to users, by jointly optimizing caching placement and channel allocation in cache-enabled D2D-assisted HetNets. At first, an analytical upper-bound on the average content delivery delay is derived. Then, the joint optimization problem is formulated. The non-convexity of the problem is alleviated, and the optimal solution is determined. Due to the high time complexity of the obtained solution, a low-complex sub-optimal approach is proposed. Numerical results illustrate the efficacy of the proposed solutions and compare them to conventional approaches. Finally, by investigating the impact of key parameters, e.g. power, caching capacity, QoS requirements, etc., guidelines to design these networks are obtained. Index TermsHetNet, Device-to-Device (D2D), caching, channel allocation, successful delivery rate (SDR).

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Cache Placement in Two-Tier HetNets With Limited Storage Capacity: Cache or Buffer?

Cited by 43 publications

References 54 publications

Data Correlation-Aware Resource Management in Wireless Virtual Reality (VR): An Echo State Transfer Learning Approach

Data Correlation-Aware Resource Management in Wireless Virtual Reality (VR): An Echo State Transfer Learning Approach

Manipulation With Domino Effect for Cache- and Buffer-Enabled Social IIoT: Preserving Stability in Tripartite Graphs

Joint Caching and Resource Allocation in D2D-Assisted Heterogeneous Networks

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