On Fundamental Trade-offs of Device-to-Device Communications in Large Wireless Networks

Altieri, Andrés; Piantanida, Pablo; Vega, Leonardo Rey; Galarza, Cecilia G.

doi:10.1109/twc.2015.2430341

Cited by 47 publications

(46 citation statements)

References 20 publications

(64 reference statements)

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“…However, only a few works have tried to figure out the caching gain of the distributed cache-enabled nodes in the stochastic geometry framework [10]- [12]. Without consideration of small scale fading, a low-complexity algorithm for finding the optimal caching probability was proposed in [10] to minimize the average caching failure probability in a D2D network.…”

Section: Introductionmentioning

confidence: 99%

“…In [11], a tradeoff between the cache memory size and the density of BSs was investigated in a cache-enabled small BS network when the files are cached in order of popularity. The authors of [12] showed that a tradeoff between a global metric (i.e., the fraction of served requests in the network) and a local metric (i.e., the fraction of served requests per cluster) in a cluster-based D2D communication network, when the caching placement follows an arbitrary distribution.…”

Section: Introductionmentioning

confidence: 99%

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Cooperative Transmission via Caching Helpers

Chae

Ryu

Quek

et al. 2014

2015 IEEE Global Communications Conference (GLOBECOM)

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This paper models the cooperative transmission via caching helpers (cache-based joint transmission), which cache one of the K most popular files, in wireless cellular networks and analyzes its performance in terms of the file transmission success probability in the stochastic geometry framework. For given caching placement, the caching helpers can either provide a file diversity gain by serving different files or a cooperative gain by jointly transmitting the same files. In order to account for the tradeoff between the file diversity gain and the cooperative gain, we derive the cache hit probability and the rate coverage probability. We also find the optimal caching placement balancing the tradeoff and investigate the effects of various system parameters, such as the cooperative region, the density of caching helpers, and the file popularity exponent, on the optimal caching placement.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Cooperative Transmission via Caching Helpers

Chae

Ryu

Quek

et al. 2014

2015 IEEE Global Communications Conference (GLOBECOM)

View full text Add to dashboard Cite

show abstract

“…To the best of our knowledge, our work differs from the aforementioned works in terms of studying deployment aspects of cache-enabled small base station. Similar lines of work in terms of analysis with stochastic geometry tools can be found in [20,23]. However, the system model and performance metrics are different than what is studied here a .…”

Section: Introductionmentioning

confidence: 80%

“…More precisely, observe that E [τ 1 ] is identical to (i) of (22). Thus, following the steps from (23) to (27), we obtain: …”

Section: Proof Of Propositionmentioning

confidence: 98%

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Cache-enabled small cell networks: Modeling and tradeoffs

Baştuğ

Bennis

Debbah

2014

2014 11th International Symposium on Wireless Communications Systems (ISWCS)

105

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We consider a network model where small base stations (SBSs) have caching capabilities as a means to alleviate the backhaul load and satisfy users' demand. The SBSs are stochastically distributed over the plane according to a Poisson point process (PPP) and serve their users either (i) by bringing the content from the Internet through a finite rate backhaul or (ii) by serving them from the local caches. We derive closed-form expressions for the outage probability and the average delivery rate as a function of the signal-to-interference-plus-noise ratio (SINR), SBS density, target file bitrate, storage size, file length, and file popularity. We then analyze the impact of key operating parameters on the system performance. It is shown that a certain outage probability can be achieved either by increasing the number of base stations or the total storage size. Our results and analysis provide key insights into the deployment of cache-enabled small cell networks (SCNs), which are seen as a promising solution for future heterogeneous cellular networks.

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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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On Fundamental Trade-offs of Device-to-Device Communications in Large Wireless Networks

Cited by 47 publications

References 20 publications

Cooperative Transmission via Caching Helpers

Cooperative Transmission via Caching Helpers

Cache-enabled small cell networks: Modeling and tradeoffs

Proactive Caching in 5G Small Cell Networks

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