Coding, Multicast, and Cooperation for Cache- Enabled Heterogeneous Small Cell Networks

Liao, Jialing; Wong, Kai-Kit; Zhang, Yangyang; Zheng, Zhongbin; Yang, Kun

doi:10.1109/twc.2017.2731967

Cited by 52 publications

(52 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this work, the employment of MDS codes can enable fronthaul multicast by transmitting coded contents to associated SBSs using the same communication resource. Therefore, it helps to reduce traffic load and power consumption [9].…”

Section: Power Consumption Modelmentioning

confidence: 99%

“…Specifically, a batch of four users share a unique Zipf distribution, which is specified by the popularity rank order of all contents and a skewness factor [9]. The default settings are: the fractional caching capacity in each SBS is 20%; the maximum transmit power for each SBS is 0 dB; the SINR requirement of each multicast group is 10 dB; users' requests happen 100 times in each transmission block; a total of three preference patterns towards contents are considered and the users in each preference pattern are randomly active at each frame; for each preference pattern, the popularity rank order of all contents is randomly generated and the skewness factor is also randomly picked from region [1,3], similar to [9]; the total fronthaul bandwidth is 60 MHz, and we allocate 5 MHz to serve content delivery for each multicast group through fronthaul (unless stated otherwise). With regard to power consumption model, we consider typical values δ b = 2.7 and β = 4.0 [40].…”

Section: Performance Evaluationmentioning

confidence: 99%

See 1 more Smart Citation

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

et al. 2020

IEEE Trans. Commun.

View full text Add to dashboard Cite

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.

show abstract

Section: Power Consumption Modelmentioning

confidence: 99%

Section: Performance Evaluationmentioning

confidence: 99%

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

et al. 2020

IEEE Trans. Commun.

View full text Add to dashboard Cite

show abstract

“…In each time slot, users may request files from the library through following certain content popularity distribution. For full generality, different users may have different preference patterns toward files [3]. Caching strategies for conventional caching designs were mainly investigated with prior knowledge of preference patterns and content popularity distribution, such as the Zipf distribution [3].…”

Section: System Model a Network Modelmentioning

confidence: 99%

“…The authors in [2] proposed the Femtocaching scheme to achieve low latency. The authors in [3] investigated offline maximum distance separable (MDS) coded caching schemes to minimize the average backhaul load by considering multicast and cooperation. A hierarchical edge caching and scheduling scheme was proposed to offload network traffic and reduce system costs in [4].…”

Section: Introductionmentioning

confidence: 99%

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)

View full text Add to dashboard Cite

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.

show abstract

“…We consider the case where each SBS needs to collect the missing packets of the requested file so as to recover the entire file, similar to[7],[8],[19]. In this case, multiple SBSs are clustered on file level and use cooperative beamforming to deliver the same information to the dedicated users, which can boost the edge throughputs.…”

mentioning

confidence: 99%

Joint Fronthaul Multicast and Cooperative Beamforming for Cache-Enabled Cloud-Based Small Cell Networks: An MDS Codes-Aided Approach

Leung

et al. 2019

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

The performance of cloud-based small cell networks (C-SCNs) relies highly on a capacity-limited fronthaul, which degrade quality of service when it is saturated. Coded caching is a promising approach to addressing these challenges, as it provides abundant opportunities for fronthaul multicast and cooperative transmissions. This paper investigates a cache-enabled C-SCNs, in which small-cell base stations (SBSs) are connected to the central processor via fronthaul, and can prefetch popular contents by applying maximum distance separable (MDS) codes. To fully capture the benefits of fronthaul multicast and cooperative transmissions, an MDS codes-aided transmission scheme is first proposed. We formulate the problem to minimize the content delivery latency by jointly optimizing fronthaul bandwidth allocation, SBS clustering, and beamforming. To efficiently solve the resulting nonlinear integer programming problem, we propose a penalty-based design by leveraging variational reformulations of binary constraints. To improve the solution of the penalty-based design, a greedy SBS clustering design is also developed. Furthermore, closed-form characterization of the optimal solution is obtained, through which the benefits of MDS codes can be quantified. Simulation results are given to demonstrate the significant benefits of the proposed MDS codesaided transmission scheme.

show abstract

Coding, Multicast, and Cooperation for Cache- Enabled Heterogeneous Small Cell Networks

Cited by 52 publications

References 39 publications

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

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

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

Joint Fronthaul Multicast and Cooperative Beamforming for Cache-Enabled Cloud-Based Small Cell Networks: An MDS Codes-Aided Approach

Contact Info

Product

Resources

About