Context-Aware RRM for Opportunistic Content Delivery in Cellular Networks

Lungaro, Pietro; Segall, Zary; Zander, Jens

doi:10.1109/ctrq.2010.37

Cited by 8 publications

(5 citation statements)

References 12 publications

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“…The user requests follow Zipf distribution with parameter β f ∈ [0, 1], where β f reflects the "peakiness" of the common interests of the users. To model the uncertainty of the prediction for each user's personal interest, the number of files that each user may request is set as N s = 100, which is a subset of the file catalog N f [9], and the subsets for different users may differ. Moreover, the request of each user follows Zipf distribution with parameter β s ∈ [0, 1].…”

Section: Simulation Resultsmentioning

confidence: 99%

“…In the inner tier, we find ν * with given ĝ * th by bisection searching from (11). In the outer tier, we find ĝ * th by bisection searching from (9).…”

Section: A Single-user Pre-downloadingmentioning

confidence: 99%

“…With the predicted personal interest of each user, pushing files to an individual user has long been regarded as a technique for improving the user experience [8], where the content placement is accomplished by unicast when the channel of the user is in good condition [8,9]. With the predicted common interest of the users in a cell (i.e., file popularity), the same set of popular contents can be precached at the users by broadcast [6,7].…”

Section: Introductionmentioning

confidence: 99%

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Energy-Saving Pushing Based on Personal Interest and Context Information

Yao

Chen

Yang

et al. 2016

2016 IEEE 83rd Vehicular Technology Conference (VTC Spring)

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Abstract-Pushing files to users based on predicting the personal interest of each user may provide higher throughput gain than broadcasting popular files to users based on their common interests. However, the energy consumed at base station for pushing files individually to each user is also higher than broadcast. In this paper, we propose an energy-saving transmission strategy for pre-downloading the files to each user by exploiting the excess resources in the network during off-peak time. Specifically, a power allocation and scheduling algorithm is designed aimed to minimize the extra energy consumed for pushing, where network and user level context information are exploited. Simulation results show that when the energy of both content placement and content delivery is taken into account, the proposed unicast strategy consumes less energy and achieves higher throughput than broadcasting when the files popularity is not uniform and the personal interest prediction is with less uncertainty.

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Section: Simulation Resultsmentioning

confidence: 99%

“…In the inner tier, we find ν * with given ĝ * th by bisection searching from (11). In the outer tier, we find ĝ * th by bisection searching from (9).…”

Section: A Single-user Pre-downloadingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Energy-Saving Pushing Based on Personal Interest and Context Information

Yao

Chen

Yang

et al. 2016

2016 IEEE 83rd Vehicular Technology Conference (VTC Spring)

View full text Add to dashboard Cite

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“…5: CDF of the users satisfaction for each strategy vs the number of transmission and the gain, and A=300 for all the plots. stantaneous availability of resources to deliver content without wasting resources [20]. Although these contributions do show interesting results, they assume that nodes can communicate in ad hoc mode, which is not the case of this paper.…”

Section: Related Workmentioning

confidence: 90%

SCoD: Saving cellular resources by delaying transmissions of popular content

Belouanas¹,

Thai²,

Spathis³

et al. 2015

2015 International Symposium on Wireless Communication Systems (ISWCS)

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At a time when operators struggle with unprecedented mobile data growth, saving cellular resources is of utmost importance. The first traffic that we must get rid of is redundant traffic. This happens, for example, when popular data must be disseminated to a population of subscribers. We propose SCoD, a strategy that benefits from the delay-tolerance of some applications to defer transmissions to appropriate instants. The idea is to wait for nodes to gather around a minimum number of access points so that the total number of transmissions is reduced. SCoD leverages as much as possible node mobility for the sake of clustering; to this end, SCoD relies on different guiding functions that trigger, whenever appropriate, a transmission. We assess the performance of our strategy by running simulations on a realistic vehicular dataset and find out that it leads to significant improvements when compared with traditional (instantaneous) dissemination strategies.

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“…This paper presents a family of content pre-fetching methods that exploit the times and locations with high data rates to deliver the content before the user requests it (the concept known as content pre-fetching [4]), having a potential to reduce the energy consumption by shortening the time to transfer the data over the radio interface [5] and improve a user's QoE by playing the pre-fetched content from the terminal memory without interruptions on the user's request. This paper shows that pre-fetching content at high data rates only (69% larger than average) can reduce energy consumption in a mobile device up to 72% when compared to the download of the same content on demand, initiated at the same time.…”

Section: Introductionmentioning

confidence: 99%

Energy Consumption Reduction via Context-Aware Mobile Video Pre-fetching

Devlić

Lungaro

Kamaraju

et al. 2012

2012 IEEE International Symposium on Multimedia

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Abstract-The arrival of smartphones and tablets, along with a flat rate mobile Internet pricing model have caused increasing adoption of mobile data services. According to recent studies, video has been the main driver of mobile data consumption, having a higher growth rate than any other mobile application. However, streaming a medium/high quality video files can be an issue in a mobile environment where available capacity needs to be shared among a large number of users. Additionally, the energy consumption in mobile devices increases proportionally with the duration of data transfers, which depend on the download data rates achievable by the device. In this respect, adoption of opportunistic content prefetching schemes that exploit times and locations with high data rates to deliver content before a user requests it, has the potential to reduce the energy consumption associated with content delivery and improve the user's quality of experience, by allowing playback of pre-stored content with virtually no perceived interruptions or delays. This paper presents a family of opportunistic content pre-fetching schemes and compares their performance to standard on-demand access to content. By adopting a simulation approach on experimental data, collected with monitoring software installed in mobile terminals, we show that content pre-fetching can reduce energy consumption of the mobile devices by up to 30% when compared to the on demand download of the same file, with a time window of 1 hour needed to complete the content prepositioning.

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Context-Aware RRM for Opportunistic Content Delivery in Cellular Networks

Cited by 8 publications

References 12 publications

Energy-Saving Pushing Based on Personal Interest and Context Information

Energy-Saving Pushing Based on Personal Interest and Context Information

SCoD: Saving cellular resources by delaying transmissions of popular content

Energy Consumption Reduction via Context-Aware Mobile Video Pre-fetching

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