Femtocaching and device-to-device collaboration: A new architecture for wireless video distribution

Golrezaei, Negin; Molisch, Andreas F.; Dimakis, Alexandros G.; Caire, Giuseppe

doi:10.1109/mcom.2013.6495773

Cited by 686 publications

(565 citation statements)

References 7 publications

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“…However, interested readers may refer to [6]- [9] and references therein. In [10], authors treated small cell base-stations (SBS) as helpers and formulated the problem of which files to cache when each user has access to multiple helpers. Since the focus in [10] is to derive an optimal caching strategy, authors do not consider the dynamics of the connectivity and the network topology.…”

Section: B Related Workmentioning

confidence: 99%

“…In [10], authors treated small cell base-stations (SBS) as helpers and formulated the problem of which files to cache when each user has access to multiple helpers. Since the focus in [10] is to derive an optimal caching strategy, authors do not consider the dynamics of the connectivity and the network topology. Moreover, most of the existing studies also ignore the fact that the cellular macro base-station (MBS) can also control the dynamics of information storage/retrieval in cache enabled networks.…”

Section: B Related Workmentioning

confidence: 99%

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Information centric modeling for two-tier cache enabled cellular networks

Zaidi

Ghogho

McLernon

2015

2015 IEEE International Conference on Communication Workshop (ICCW)

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Abstract-In this article, we introduce a new metric called 'information centric coverage probability' to characterize the performance of a two-tier cache enabled cellular network. The proposed metric unifies the dynamics of in-network caching and heterogeneous networking to provide a unified performance measure. Specifically, it quantifies the probability that a mobile user (MU) is covered at a desired rate when a certain content is requested from a global content library. In other words, it quantifies the percentage of time when an MU can be served locally without paying the traffic penalties at backhaul, fronthaul and core networks. Caching dynamics are modeled by considering that the content which is least recently used (LRU) is evicted while the requested content is stored in the cache. The considered two-tier cellular model leverages coordination between the macro base-station (MBS) and the small cell base-stations (SBSs) to maximize the resource efficiency. More specifically, coordination between macro and small cells enables an arbitrary SBS to exploit the caches at other SBSs in the neighborhood. Thus reducing the requirement for huge and expensive memory modules at individual SBSs. The spatial dynamics of cellular network are modeled by borrowing well established tools from stochastic geometry. Propagation uncertainties are explicitly factored in characterization by considering the small scale Rayleigh fading and the large scale power-law path-loss model. It is shown that the information centric coverage probability is a function of (i) the size of caches at the SBSs and the MBS; (ii) the content eviction strategy; (iii) the underlying popularity law for referenced objects; (iv) the size of the global content library; (v) desired downlink transmission rate; (vi) the amount of spectrum allocated to each tier; (vii) pathloss exponent; and (viii) the deployment density of the SBSs and the MBSs. Our analysis reveals that significant performance gains can be harnessed with appropriate dimensioning of both cache sizes and deployment density. Finally, identification of memory limited vs. QoS limited operational regime for two-tier cellular networks is considered.

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Section: B Related Workmentioning

confidence: 99%

Section: B Related Workmentioning

confidence: 99%

Information centric modeling for two-tier cache enabled cellular networks

Zaidi

Ghogho

McLernon

2015

2015 IEEE International Conference on Communication Workshop (ICCW)

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“…The new architecture to achieve wireless D2D cache collaboration is proposed in [9] from the viewpoint of asymptotic scaling characteristics and video content popularity. In [10], considering the improvement of the area spectral efficiency of video transmission, Shanmugam et al present a small cells heterogeneous architectures. In addition, [11] studies and formulates a max-flow optimization problem to maximizes the content downloading flows in D2D communication underlaying cellular networks and obtains the content downloading performance upper bound.…”

Section: Related Workmentioning

confidence: 99%

“…In terms of the network provider part, the BS acts as gateway to connect the users to the media service providers. [8][9][10]. In our model, each user that is mobile and always connected to the BS is indicated as ∈ ≡ { 1 , .…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

“…According to the definition of the expected gain in the meeting slot , we can see that each user QoE is mainly composed by D2D and cellular media service. For formula (10), only and ( , Θ) are variable for the certain networks. If we attempt to improve ( ( )), we should adjust different media service distribution in the network according to different service QoE function ( , Θ).…”

Section: Distributed Media Service Scheme In D2d Communicationmentioning

confidence: 99%

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QoE-Driven D2D Media Services Distribution Scheme in Cellular Networks

Chen

Wang

Chen

et al. 2017

Wireless Communications and Mobile Computing

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Device-to-device (D2D) communication has been widely studied to improve network performance and considered as a potential technological component for the next generation communication. Considering the diverse users' demand, Quality of Experience (QoE) is recognized as a new degree of user's satisfaction for media service transmissions in the wireless communication. Furthermore, we aim at promoting user's Mean of Score (MOS) value to quantify and analyze user's QoE in the dynamic cellular networks. In this paper, we explore the heterogeneous media service distribution in D2D communications underlaying cellular networks to improve the total users' QoE. We propose a novel media service scheme based on different QoE models that jointly solve the massive media content dissemination issue for cellular networks. Moreover, we also investigate the so-called Media Service Adaptive Update Scheme (MSAUS) framework to maximize users' QoE satisfaction and we derive the popularity and priority function of different media service QoE expression. Then, we further design Media Service Resource Allocation (MSRA) algorithm to schedule limited cellular networks resource, which is based on the popularity function to optimize the total users' QoE satisfaction and avoid D2D interference. In addition, numerical simulation results indicate that the proposed scheme is more effective in cellular network content delivery, which makes it suitable for various media service propagation.

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Proactive Caching in 5G Small Cell Networks

2016

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Massive deployment of small-cell base stations (SBSs) is going to play a key role for capacity and coverage enhancements in 5G networks. However, the backhaul for these networks remains one of the important issue to solve. Ideally, the capacity of backhaul has to be in the same order of wireless links in order to avoid bottlenecks in the delivery and sustain huge traffic generated by mobile users, especially due to video streaming and content sharing in social networks. In reality, the deployment of such high-speed backhauls is not straightforward due to its costly nature. Thus, one promising way of tackling this backhaul bottleneck and satisfying users' demand is to cache the strategic contents at the edge of the network, namely at the SBSs and user terminals (UTs). So far, most of the existing solutions are based on the reactive networking paradigm in which users' content requests are served immediately upon their arrival or causing outages otherwise. In this chapter, we first provide an overview for recent research in small cell networks (SCNs), and then we explore the novel paradigm of proactive caching in SCNs that leverages the latest developments in storage, context-awareness, and social networking. With this approach, we show that important gains can be obtained, with backhaul offloadings and higher ratios of satisfied users reaching up to 22% and 26%, respectively. I. SMALL CELL NETWORKS: PAST, PRESENT AND FUTURE TRENDS Smartphones have exponentially increased the traffic load in current cellular networks showing no signs of slowing down [1], [2]. It is now well understood that a very effective way to increase network capacity is making cells smaller by reducing the distance to the users [3]. Indeed, cell densification has gone from the order of hundreds of square kilometers (back in the eighties) to a fraction of a square meter or less with the advent of hotspots. There has been recently a great interest to deploy relays, distributed antennas and small cellular access points (such as micro/pico/femto cells) in residential homes, subways, enterprises, and hot-spot areas. These network architectures, which are either operator-deployed or user-deployed are referred to heterogeneous networks (HetNets) or small cell networks (SCNs) [3], [4]. By deploying additional network nodes within local-area range and making the network closer to end-users, small cells can significantly improve spatial reuse and coverage, boost capacity, and offload traffic more efficiently [4].

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Femtocaching and device-to-device collaboration: A new architecture for wireless video distribution

Cited by 686 publications

References 7 publications

Information centric modeling for two-tier cache enabled cellular networks

Information centric modeling for two-tier cache enabled cellular networks

QoE-Driven D2D Media Services Distribution Scheme in Cellular Networks

Proactive Caching in 5G Small Cell Networks

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