Distributed caching in device-to-device networks: A stochastic geometry perspective

Krishnan, Shankar; Dhillon, Harpreet S.

doi:10.1109/acssc.2015.7421348

Cited by 26 publications

(15 citation statements)

References 12 publications

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“…Other authors [156][157][158][159][160] considered a different perspective of cache enabled networks, where the cache networks were modeled from stochastic geometry perspective with the main aim of characterizing the outage probability in closed form and evaluating the use of cache aided network from a purely physical layer standpoint. Based on benefits established by virtue of a vast and ever-increasing array of recent literature, caching has therefore been identified as one of the keys enables of 5G wireless networks.…”

Section: Impact On System Performancementioning

confidence: 99%

The role of caching in next generation cellular networks: A survey and research outlook

Kabir

Rehman

Gilani

et al. 2019

Trans Emerging Tel Tech

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Mobile applications and social networks tend to enhance the needs for high‐quality content access. To address the expeditious growing demand for data services in 5G cellular networks, it is important to develop distribution techniques and an efficient content caching, aiming to significantly reduce redundant data transmission and, thus, improve the efficiency of the networks. In modern communication systems, caching has emerged as a vital tool for reducing peak data rates. It is anticipated that energy harvesting and self‐powered small base stations are the fundamental part of next‐generation cellular networks. However, uncertainties in energy are the main reason to adopt energy efficient power control schemes to reduce SBS energy consumption and ensure the quality of services for users. Using the edge cooperative caching such as energy efficient design can also be achievable, which reduces the usage of the capacity limited SBSs backhaul and the energy consumption. To support the huge power demand of cellular network, renewable energy harvesting technologies can be leveraged. In addition to this, power supply to the infrastructures is the main challenge to the mobile network operators (MNOs) especially in terms of economic optimum, sustainability, and green energy in developing countries for the growth of cellular networks. Renewable energy–based solutions for MNOs not only reduce the overall carbon dioxide emissions but also provide numerous profits.

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Section: Impact On System Performancementioning

confidence: 99%

The role of caching in next generation cellular networks: A survey and research outlook

Kabir

Rehman

Gilani

et al. 2019

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

“…The authors in [19] proposed a mobility aware caching strategy, the devices with low-speed and high-speed cache most popular content, the other devices cache content with lower popularity. Krishnan et al proposed a Poisson Point Process based caching strategy for D2D to reduce latency, the locations of devices are modeled by Poisson Point Process, each device randomly caches a portion of content [20]. The authors proposed a probabilistic caching strategy for D2D caching network to maximize the cache hit rate and cache-aided throughput [21].…”

Section: Related Workmentioning

confidence: 99%

IBP Based Caching Strategy in D2D

et al. 2019

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Device to Device (D2D) communication is a key technology in 5th generation wireless systems to increase communication capacity and spectral efficiency. Applying caching into D2D communication networks, the device can retrieve content from other devices by establishing D2D communication links. In this way, the backhaul traffic can be significantly reduced. However, most of the existing caching schemes in D2D are proactive caching, which cannot satisfy the requirement of real-time updating. In this paper, we propose an Indian Buffet Process based D2D caching strategy (IBPSC). Firstly, we construct a geographical D2D communication network to provide high quality D2D communications according to physical closeness between devices. Then devices are divided into several social communities. Devices are ranked by their node importance to community in each community. The base station makes caching decisions for devices according to contrition degree. Experimental results show that IBPSC achieves best network performance.

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“…In the in-band D2D networks, D2D and cellular networks coexist in the same spectrum. Using tools from stochastic geometry, several coexistence aspects, such as mode selection between cellular and D2D [30]- [32], coexistence of D2D and unmanned aerial vehicle [33], distributed caching in D2D networks [34], and D2D interference management to protect cellular transmissions [35]- [39], have been addressed. On the other hand, in the out-of-band D2D, as the name implies, orthogonal spectrum is allocated for D2D and cellular transmissions.…”

Section: A Related Work and Motivationmentioning

confidence: 99%

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

Afshang¹,

Dhillon²,

Chong

2016

IEEE Trans. Commun.

Self Cite

105

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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: (i) k-Tx case: receiver of interest is chosen uniformly at random in a cluster and its content of interest is available at the k th closest device to the cluster center, (ii) -Rx case: receiver of interest is the th 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 (iii) 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 (ASE) 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 to 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.Index Terms-D2D caching, cluster-centric content placement, clustered D2D network, Poisson cluster process, Thomas cluster process, stochastic geometry.

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Distributed caching in device-to-device networks: A stochastic geometry perspective

Cited by 26 publications

References 12 publications

The role of caching in next generation cellular networks: A survey and research outlook

The role of caching in next generation cellular networks: A survey and research outlook

IBP Based Caching Strategy in D2D

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

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