On Energy-Efficient Edge Caching in Heterogeneous Networks

Gabry, Frédéric; Bioglio, Valerio; Land, Ingmar

doi:10.1109/jsac.2016.2611845

Cited by 149 publications

(99 citation statements)

References 25 publications

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“…The maximum EE is derived in closedform for zero-forcing (ZF) precoding and is obtained via semi-definite relaxation (SDR) for general beamforming design. Our paper differs from [9], [10] as following.…”

Section: Introductionmentioning

confidence: 82%

“…Recently, energy efficiency (EE) of a cacheassisted networks has been received considerable attentions. Focusing on the content placement phase in heterogeneous networks, the authors in [9] study the trade-off between expected backhaul rate and energy consumption. In [10], the impact of caching is analyzed via close-form expression of the approximated network EE.…”

Section: Introductionmentioning

confidence: 99%

“…We consider multi-layer cache and the two caching strategies, while [9] only consider cache available at BS with uncoded caching algorithm. Finally, the EE is evaluated via numerical results.…”

Section: Introductionmentioning

confidence: 99%

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Energy-efficient design for edge-caching wireless networks: When is coded-caching beneficial?

Chatzinotas

Ottersten

2017

2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

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Abstract-Content caching is an efficient technique to reduce delivery latency and system congestion during peak-traffic times by bringing data closer to end users. Existing works consider caching only at higher layers separated from physical layer. In this paper, we study wireless caching networks by taking into account cache capability when designing the signal transmission. In particular, we investigate multi-layer caching and their performance in edge-caching wireless networks where both base station (BS) and users are capable of storing content data in their local cache. Two notable uncoded and coded caching strategies are studied. Firstly, we propose a coded caching strategy that is applied to arbitrary value of cache size. The required backhaul and access rates are given as a function of the BS and user cache size. Secondly, closed-form expressions for the system energy efficiency (EE) corresponding to the two caching methods are derived. Thirdly, the system EE is maximized via precoding vectors design and optimization while satisfying the user request rate. Finally, numerical results are presented to verify the effectiveness of the two caching methods.

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Section: Introductionmentioning

confidence: 82%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Energy-efficient design for edge-caching wireless networks: When is coded-caching beneficial?

Chatzinotas

Ottersten

2017

2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

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“…Ratememory trade-off under coded caching strategy has been intensively investigated in edge-caching networks [2][3][4] and deviceto-device networks [5]. Focusing on the content placement phase in heterogeneous networks, [7] investigates the tradeoff between expected backhaul rate and energy consumption. Average energy efficiency (EE) is analysed in [8].…”

Section: Introductionmentioning

confidence: 99%

“…Finally, we demonstrate via numerical results that the uncoded caching achieves higher energy efficiency than the coded caching in the small user cache size regime. Our contributions differ from the existing works in [6][7][8][9][10] since we consider multiple-layer cache, cross-file coded caching and realistic energy cost model for backhaul links. Notation: (.)…”

Section: Introductionmentioning

confidence: 99%

Energy Minimization for Cache-Assisted Content Delivery Networks With Wireless Backhaul

Chatzinotas

Ottersten

et al. 2018

IEEE Wireless Commun. Lett.

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Abstract-Content caching is an efficient technique to reduce delivery latency and system congestion during peak-traffic time by bringing data closer to end users. In this paper, we investigate energy-efficiency performance of cache-assisted content delivery networks with wireless backhaul by taking into account cache capability when designing the signal transmission. We consider multi-layer caching and the performance in cases when both base station (BS) and users are capable of storing content data in their local cache. Specifically, we analyse energy consumption in both backhaul and access links under two uncoded and coded caching strategies. Then two optimization problems are formulated to minimize total energy cost for the two caching strategies while satisfying some given quality of service constraint. We demonstrate via numerical results that the uncoded caching achieves higher energy efficiency than the coded caching in the small user cache size regime.

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