Cacheability analysis of HTTP traffic in an operational LTE network

Ramanan, Buvaneswari A.; Drabeck, Lawrence; Haner, M.; Nithi, Nachi K.; Klein, Thierry; Sawkar, Chitra

doi:10.1109/wts.2013.6566245

Cited by 66 publications

(39 citation statements)

References 8 publications

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“…A simple cost model is proposed in [4] to explore the potential of forward caching in cellular networks and it is shown that a proper caching will reduce mobile traffic by one third. A similar conclusion was also obtained in long term evolution networks [5] and an overview of emerging caching techniques for current mobile networks and future 5G networks is provided [6]. However, most of literatures focused on the benefit of cache incorporation, while few works have been done on how to explore cache in mobile networks and a framework with cache incorporation is needed.…”

Section: Introductionsupporting

confidence: 61%

Joint Mode Selection and Resource Allocation for Downlink Fog Radio Access Networks Supported D2D

Xiang¹,

Peng²,

Cheng³

et al. 2015

Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustn

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Abstract-Presented as an innovative paradigm incorporating the cloud computing into radio access network, cloud radio access networks (C-RANs) have been shown advantageous in curtailing the capital and operating expenditures as well as providing better services to the customers. However, heavy burden on the non-ideal fronthaul limits performances of C-RANs. Here we focus on the alleviation of burden on the fronthaul via the edge devices' caches and propose a fog computing based RAN (F-RAN) architecture with three candidate transmission modes: device to device, local distributed coordination, and global C-RAN. Followed by the proposed simple mode selection scheme, the average energy efficiency (EE) of systems optimization problem considering congestion control is presented. Under the Lyapunov framework, the problem is reformulated as a joint mode selection and resource allocation problem, which can be solved by block coordinate descent method. The mathematical analysis and simulation results validate the benefits of F-RAN and an EE-delay tradeoff can be achieved by the proposed algorithm.

show abstract

Section: Introductionsupporting

confidence: 61%

Joint Mode Selection and Resource Allocation for Downlink Fog Radio Access Networks Supported D2D

Xiang¹,

Peng²,

Cheng³

et al. 2015

Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustn

View full text Add to dashboard Cite

show abstract

“…In the context of heterogeneous cellular networks (HCNs) [3], caches can be installed at small-cell base stations (SBSs), e.g., pico-cells and femto-cells, targeting to offload traffic from the collocated macro-cell base station (MBS) [4]. Measurement studies have revealed up to 66% reduction in network traffic by using caching in 3G [5] and 4G [6] networks. Meanwhile, the wireless industry began to commercialize systems that support caching with examples including Altobridge's "Data at the Edge" solution [7], Nokia Siemens Networks' liquid application [8] and Saguna Networks' Open RAN platform [9].…”

Section: A Motivationmentioning

confidence: 99%

Exploiting Caching and Multicast for 5G Wireless Networks

Poularakis

Iosifidis

Sourlas

et al. 2016

IEEE Trans. Wireless Commun.

234

143

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Abstract-The landscape towards 5G wireless communication is currently unclear, and, despite the efforts of academia and industry in evolving traditional cellular networks, the enabling technology for 5G is still obscure. This paper puts forward a network paradigm towards next-generation cellular networks, targeting to satisfy the explosive demand for mobile data while minimizing energy expenditures. The paradigm builds on two principles; namely caching and multicast. On one hand, caching policies disperse popular content files at the wireless edge, e.g., pico-cells and femto-cells, hence shortening the distance between content and requester. On other hand, due to the broadcast nature of wireless medium, requests for identical files occurred at nearby times are aggregated and served through a common multicast stream. To better exploit the available cache space, caching policies are optimized with concerns on multicast transmissions. We show that the multicast-aware caching problem is NP-Hard and develop solutions with performance guarantees using randomized-rounding techniques. Trace-driven numerical results show that in presence of massive demand for delay tolerant content, combining caching and multicast can indeed reduce energy costs. The gains over existing caching schemes are 19% when users tolerate delay of three minutes, increasing further with the steepness of content access pattern.

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“…The data access delay is significantly reduced since data access requests can be served from the local cache. The deployment of distributed metro/access caches further enables a more scalable architecture, since the content is replicated in several locations of metro/access networks The authors in [2] analysed the gains of Hypertext Transfer Protocol (HTTP) content caching at the location of Serving Gateway (SGW) in an LTE Wireless network, and reported that 73% of the data volume and around 30% of the responses are cacheable. Mobile network caching could be a cost-effective solution to improve the service latency and reduce the mobile backhaul traffic by replicating popular and frequently demanded content in Internet Protocol (IP)-based 3G/LTE network elements closer to mobile users.…”

Section: Introductionmentioning

confidence: 99%

SDN/NFV based caching solution for future mobile network (5G)

Liu

Point

Κατσαρός

et al. 2017

2017 European Conference on Networks and Communications (EuCNC)

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1 Abstract-Caching content locally at the edge of the network and managing these caches by SDN/NFV based technologies are able to satisfy increasing data traffic demand in 5G. The virtualization of caching functionalities allows network operators to deploy caching services with advanced features like flexibility, dynamicity and auto-scalability, and provide caching services to service providers or virtualized network operators over the same common infrastructure. The caching management system provides two levels of operations: i) at the global level managed by the Infrastructure Provider applying to all the tenants or virtualized network operators; or ii) at the tenant-specific level managed by the specific tenants. Our caching solution opens an entirely new space of business opportunities for network operators, service providers and content providers.

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Cacheability analysis of HTTP traffic in an operational LTE network

Cited by 66 publications

References 8 publications

Joint Mode Selection and Resource Allocation for Downlink Fog Radio Access Networks Supported D2D

Joint Mode Selection and Resource Allocation for Downlink Fog Radio Access Networks Supported D2D

Exploiting Caching and Multicast for 5G Wireless Networks

SDN/NFV based caching solution for future mobile network (5G)

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