Coding for Caching in 5G Networks

Fadlallah, Yasser; Tulino, Antonia M.; Barone, Dario; Vettigli, Giuseppe; Llorca, Jaime; Gorce, Jean‐Marie

doi:10.1109/mcom.2017.1600449cm

Cited by 53 publications

(37 citation statements)

References 13 publications

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“…In particular, researchers are working on Mobile Edge Computing (MEC) [94] and on what, where, when, and how to log cache contents. In this context, coding [95] and machine learning [96] techniques can be applied. Examples of typical scenarios are vehicular communications [97] and low-latency applications [98].…”

Section: Cachingmentioning

confidence: 99%

Orchestration and Control in Software‐Defined 5G Networks: Research Challenges

Nencioni

Garroppo

Gonzalez

et al. 2018

Wireless Communications and Mobile Computing

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The fifth generation (5G) of cellular networks promises to be a major step in the evolution of wireless technology. 5G is planned to be used in a very broad set of application scenarios. These scenarios have strict heterogeneous requirements that will be accomplished by enhancements on the radio access network and a collection of innovative wireless technologies. Softwarization technologies, such as Software-Defined Networking (SDN) and Network Function Virtualization (NFV), will play a key role in integrating these different technologies. Network slicing emerges as a cost-efficient solution for the implementation of the diverse 5G requirements and verticals. The 5G radio access and core networks will be based on a SDN/NFV infrastructure, which will be able to orchestrate the resources and control the network in order to efficiently and flexibly and with scalability provide network services. In this paper, we present the up-to-date status of the software-defined 5G radio access and core networks and a broad range of future research challenges on the orchestration and control aspects.

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Section: Cachingmentioning

confidence: 99%

Orchestration and Control in Software‐Defined 5G Networks: Research Challenges

Nencioni

Garroppo

Gonzalez

et al. 2018

Wireless Communications and Mobile Computing

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“…To improve the energy efficiency of networks by means of the content caching, there are several works in the literature [6,7,[10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26].…”

Section: Related Workmentioning

confidence: 99%

“…Meanwhile, Kakar et al [18] introduced the concept of delivery time per bit and investigated cache-aided heterogeneous wireless networks. Since the performance of the caching system can be improved when the coded contents are cached, some works focused on the coded contents and introduced appropriate caching schemes for these contents [19][20][21]. Maddah-Ali and Niesen [19] proposed a coded caching scheme to improve substantially the efficiency of content transmission over un-coded caching.…”

Section: Related Workmentioning

confidence: 99%

“…Maddah-Ali and Niesen [19] proposed a coded caching scheme to improve substantially the efficiency of content transmission over un-coded caching. Fadlallah et al [20] provided an overview of some caching-aided coded multicast techniques and then discussed the potential of caching-aided coded multicast for improving bandwidth efficiency. Poularakis et al [21] developed caching algorithms for layered encoding (i.e., scalable video coding (SVC)) to reduce the average video delivery time.…”

Section: Related Workmentioning

confidence: 99%

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Energy-efficient proactive edge caching with sleep scheduling for green networks

Lee

Pack

2018

J Wireless Com Network

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Proactive content caching in small cells (SCs) (i.e., proactive edge caching) can significantly reduce energy consumption of networks. However, the sleep mode of SCs can make the cached contents in SCs unavailable. Therefore, a joint optimization of edge caching strategy and sleep scheduling should be conducted to maximize the effectiveness of edge caching. In this paper, we propose an energy-efficient proactive edge caching with sleep scheduling (E3CS) where the controller jointly adjusts the caching strategy and the sleep scheduling of SCs by considering the content popularity dynamics. To optimize the performance of E3CS (i.e., minimize the overall energy consumption), we formulate a Markov decision process (MDP) and the joint optimal policy on the caching strategy and sleep scheduling is obtained by a value iteration algorithm. Evaluation results demonstrate that E3CS with the optimal policy outperforms the comparison schemes in terms of the overall energy consumption.

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“…Appealingly, coded caching facilitates a multiplicative performance gain that scales with the aggregate cache memory size of the UEs even if there is no coordination for cache placement at the UEs [25]. Since the publication of [24], [25], coded caching has attracted significant interest, see [26] and references therein. However, the caching concepts proposed in [24]- [26] are mainly applicable to noiseless and error-free communication links, as found e.g.…”

Section: Introductionmentioning

confidence: 99%

Cache-Aided Non-Orthogonal Multiple Access: The Two-User Case

Xiang

et al. 2019

IEEE J. Sel. Top. Signal Process.

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In this paper, we propose a cache-aided nonorthogonal multiple access (NOMA) scheme for spectrally efficient downlink transmission. The proposed scheme not only reaps the benefits associated with NOMA and caching, but also exploits the data cached at the users for interference cancellation. As a consequence, caching can help to reduce the residual interference power, making multiple decoding orders at the users feasible. The resulting flexibility in decoding can be exploited for improved NOMA detection. We characterize the achievable rate region of cache-aided NOMA and derive the Pareto optimal rate tuples forming the boundary of the rate region. Moreover, we optimize cache-aided NOMA for minimization of the time required for completing file delivery. The optimal decoding order and the optimal transmit power and rate allocation are derived as functions of the cache status, the file sizes, and the channel conditions. Simulation results confirm that, compared to several baseline schemes, the proposed cache-aided NOMA scheme significantly expands the achievable rate region and increases the sum rate for downlink transmission, which translates into substantially reduced file delivery times.

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Coding for Caching in 5G Networks

Cited by 53 publications

References 13 publications

Orchestration and Control in Software‐Defined 5G Networks: Research Challenges

Orchestration and Control in Software‐Defined 5G Networks: Research Challenges

Energy-efficient proactive edge caching with sleep scheduling for green networks

Cache-Aided Non-Orthogonal Multiple Access: The Two-User Case

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