Resource allocation for cache-enabled cloud-based small cell networks

Li, Xiuhua; Wang, Xiaofei; Sheng, Zhengguo; Zhou, Huan; Leung, Victor C. M.

doi:10.1016/j.comcom.2018.05.007

Cited by 15 publications

(9 citation statements)

References 34 publications

(67 reference statements)

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“…The domain name system (DNS) enables the user to download content from the closest BS that caches the content [14], [80]. In HetNet, the deployment of cache storages at the small cell BSs (SBS) brings content closer to the subscribers [41], [81]. Therefore, network data rates improve and content delivery latencies reduce.…”

Section: A Cache Storage Placementmentioning

confidence: 99%

A Review on Green Caching Strategies for Next Generation Communication Networks

et al. 2020

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In recent years, the ever-increasing demand for networking resources and energy, fueled by the unprecedented upsurge in Internet traffic, has been a cause for concern for many service providers. Content caching, which serves user requests locally, is deemed to be an enabling technology in addressing the challenges offered by the phenomenal growth in Internet traffic. Conventionally, content caching is considered as a viable solution to alleviate the backhaul pressure. However, recently, many studies have reported energy cost reductions contributed by content caching in cache-equipped networks. The hypothesis is that caching shortens content delivery distance and eventually achieves significant reduction in transmission energy consumption. This has motivated us to conduct this study and in this article, a comprehensive survey of the state-of-the-art green caching techniques is provided. This review paper extensively discusses contributions of the existing studies on green caching. In addition, the study explores different cache-equipped network types, solution methods, and application scenarios. We categorically present that the optimal selection of the caching nodes, smart resource management, popular content selection, and renewable energy integration can substantially improve energy efficiency of the cache-equipped systems. In addition, based on the comprehensive analysis, we also highlight some potential research ideas relevant to green content caching.

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Section: A Cache Storage Placementmentioning

confidence: 99%

A Review on Green Caching Strategies for Next Generation Communication Networks

et al. 2020

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“…Without loss of generality, the file preferences of the active users have I = 4 patterns. For each preference pattern, the skewness parameter is uniformly selected from a continuous set [1,2], and the associated file rank order is randomly generated [3]. Four active users are considered for each preference pattern (if not specified otherwise).…”

Section: Performance Evaluationmentioning

confidence: 99%

“…Such a burden may generate considerable power consumption, which is one of major concerns in green wireless networks. To address these challenges, deploying dense small cells and introducing edge caching are regarded as effective approaches towards fifth-generation wireless networks [1].…”

Section: Introductionmentioning

confidence: 99%

“…By connecting multiple small-cell base stations (SBSs) to a central processor, cloud small cell networks (C-SCNs) enable centralized optimization for signal processing and cooperation among a cluster of SBSs [1]. These benefits allow C-SCNs to achieve higher spectral efficiency and energy efficiency, compared with conventional cellular networks.…”

Section: Introductionmentioning

confidence: 99%

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Joint Long-Term Cache Allocation and Short-Term Content Delivery in Green Cloud Small Cell Networks

et al. 2019

ICC 2019 - 2019 IEEE International Conference on Communications (ICC)

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Recent years have witnessed an exponential growth of mobile data traffic, which may lead to a serious traffic burn on the wireless networks and considerable power consumption. Network densification and edge caching are effective approaches to addressing these challenges. In this study, we investigate joint long-term cache allocation and short-term content delivery in cloud small cell networks (C-SCNs), where multiple smallcell BSs (SBSs) are connected to the central processor via fronthaul and can store popular contents so as to reduce the duplicated transmissions in networks. Accordingly, a long-term power minimization problem is formulated by jointly optimizing multicast beamforming, BS clustering, and cache allocation under quality of service (QoS) and storage constraints. The resultant mixed timescale design problem is an anticausal problem because the optimal cache allocation depends on the future file requests. To handle it, a two-stage optimization scheme is proposed by utilizing historical knowledge of users' requests and channel state information. Specifically, the online content delivery design is tackled with a penalty-based approach, and the periodic cache updating is optimized with a distributed alternating method. Simulation results indicate that the proposed scheme significantly outperforms conventional schemes and performs extremely close to a genie-aided lower bound in the low caching region.

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“…Thus, when these cached contents are requested by users, they can be directly accessed in local SBSs without fronthaul transmissions. Massive duplicated transmissions via fronthaul and backhaul links can be avoided, which leads to a tremendous reduction in traffic loads [7]. In addition, pushing contents closer to mobile users and frequently reusing cached contents can assist to significantly decrease access latency of mobile users, transmit power of SBSs, and energy costs of fronthaul [8].…”

Section: Introductionmentioning

confidence: 99%

Joint Long-Term Cache Updating and Short-Term Content Delivery in Cloud-Based Small Cell Networks

et al. 2020

IEEE Trans. Commun.

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Explosive growth of mobile data demand may impose a heavy traffic burden on fronthaul links of cloud-based small cell networks (C-SCNs), which deteriorates users' quality of service (QoS) and requires substantial power consumption. This paper proposes an efficient maximum distance separable (MDS) coded caching framework for a cache-enabled C-SCNs, aiming at reducing long-term power consumption while satisfying users' QoS requirements in short-term transmissions. To achieve this goal, the cache resource in small-cell base stations (SBSs) needs to be reasonably updated by taking into account users' content preferences, SBS collaboration, and characteristics of wireless links. Specifically, without assuming any prior knowledge of content popularity, we formulate a mixed timescale problem to jointly optimize cache updating, multicast beamformers in fronthaul and edge links, and SBS clustering. Nevertheless, this problem is anti-causal because an optimal cache updating policy depends on future content requests and channel state information. To handle it, by properly leveraging historical observations, we propose a two-stage updating scheme by using Frobenius-Norm penalty and inexact block coordinate descent method. Furthermore, we derive a learning-based design, which can obtain effective tradeoff between accuracy and computational complexity. Simulation results demonstrate the effectiveness of the proposed two-stage framework. He is currently a Visiting Student Research Collaborator with Princeton University, Princeton, NJ, USA. His research interests include signal processing and resource allocation in wireless networks, decentralized optimization, and machine learning.Qiang Li (M'13) received the B.Eng. and M.Phil. degrees in Communication and Information Engineering . His current research interests are 5G/B5G mobile Internet, mobile edge computing and caching, big data analytics and machine learning.

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Resource allocation for cache-enabled cloud-based small cell networks

Abstract: Victor C M (2018) Resource allocation for cache-enabled cloud-based small cell networks. Computer Communications, 127. pp. 20-29.

Cited by 15 publications

References 34 publications

A Review on Green Caching Strategies for Next Generation Communication Networks

A Review on Green Caching Strategies for Next Generation Communication Networks

Joint Long-Term Cache Allocation and Short-Term Content Delivery in Green Cloud Small Cell Networks

Joint Long-Term Cache Updating and Short-Term Content Delivery in Cloud-Based Small Cell Networks

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