Social-Aware Caching and Resource Sharing Maximized Video Delivery Capacity in 5G Ultra-Dense Networks

Bui, Minh-Phung; Vo, Nguyen-Son; Nguyen, Sang; Tran, Quang-Nhat

doi:10.1007/s11036-019-01316-5

Cited by 10 publications

(8 citation statements)

References 45 publications

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“…In [18], [19], D2D communications with caching were exploited to mitigate the workloads at not only the MBS but also the FBSs. These works consider the social relationship between the MUs [18] and the video encoding rates (video versions with different qualities) [19] to enhance the QoS and the caching performance.…”

Section: A Unicast D2d Communicationsmentioning

confidence: 99%

“…[51]- [53]. Meanwhile, exhaustive algorithms can find the exact results, but causing computationally expensive and time-consuming, therefore not feasible to be applied to the real-world problems [18], [19]. Other promising methods such as dynamic programming, stochastic and game learning, greedy algorithm, and heuristic strategy, can provide lower complexity, but less accuracy [53].…”

Section: Introductionmentioning

confidence: 99%

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Spectrum Sharing and Power Allocation Optimised Multihop Multipath D2D Video Delivery in Beyond 5G Networks

Tran

Bui

et al. 2022

IEEE Trans. Cogn. Commun. Netw.

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In this paper, we propose a joint spectrum and power optimisation (SPO) for multi-hop multi-path (MHMP) device-to-device (D2D) video delivery in beyond 5G (B5G/6G) networks, where the system resources such as spectrum, energy, storage, and content of mobile users (MUs), are taken into account. Particularly, the downlink spectrum resources of the sharing users (SUs) are reused by the transmitters (TXs) of D2D hops and the energy resources of the TXs are utilised for D2D communications. We further exploit the videos stored in the caching users (CUs) located more than one D2D hop far away from the requesting users (RUs) to establish MHMP D2D video delivery sessions from the CUs to the RUs. Then, the SPO problem is formulated for the optimal spectrum sharing pairs of SUs and TXs and the optimal transmission powers allocated to the TXs. Genetic algorithms (GAs) are developed to solve the SPO problem with respect to both binary variable (spectrum sharing) and real variable (power allocation). The SPO solution allows the RUs to alternately request the videos not only from the macro base station over conventional cellular networks but also from the CUs over MHMP D2D communications at the highest quality of service, i.e., maximum video delivery capacity and low power consumption. Simulation results are analysed to demonstrate the feasibility of GAs and the benefits of the proposed SPO solution in comparison with other conventional schemes.

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Section: A Unicast D2d Communicationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spectrum Sharing and Power Allocation Optimised Multihop Multipath D2D Video Delivery in Beyond 5G Networks

Tran

Bui

et al. 2022

IEEE Trans. Cogn. Commun. Netw.

Self Cite

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show abstract

“…Inequalities (11) and (12) jointly indicate that the users in the region j can satisfy the request of the file f only when they have cached the file f and have sufficient service capacity. In the inequality (13), is a large constant. The inequality indicates that an SBS is able to fulfill any number of requests for the file f only if the SBS have cached the file.…”

Section: B Problem Formulationmentioning

confidence: 99%

“…Considering the cache strategy design, different transmission scenarios have been investigated. In [5]- [8], the efficient cache strategies for the scenario with device-to-device (D2D) transmission are proposed, while more researchers pay attention to collaborative optimization between users and base stations [2], [9]- [13]. In this paper, we are concerned with a collaborative cache strategy for a HetNet with an MBS, SBSs and D2D transmission.…”

Section: Introductionmentioning

confidence: 99%

Cache Replacement Strategy With Limited Service Capacity in Heterogeneous Networks

Jiang

Zhang

2020

IEEE Access

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Recently, cellular networks face a huge challenge to satisfy large increment of user demands for higher-speed and lower-latency communication service. One promising solution is to apply the cache technology in edge cache networks to reduce redundant data transmission. The cache technology is effective, but the cache capacity is limited. Researchers have proposed various cache strategies to efficiently utilize the limited cache capacity. However, most existing solutions have not taken into account the service capacity limitation of mobile devices. In this paper, we propose a cache replacement strategy for heterogeneous networks considering the limitation of service capacity and user mobility. In the cache replacement strategy, we utilize the user characteristics, such as user mobility and file popularity, to estimate the user demands, and then define the system cost. We formulate the cache strategy design as a mixed integer linear programming problem to minimize the system cost, and use Lagrangian relaxation and hierarchical primal-dual decomposition method to solve this problem. Numerical results show that the proposed cache strategy can significantly reduce the system cost and increase the cache hit ratio compared to the cache strategy that does not consider the limitation of user service capacity.

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“…Considering social behavior, the authors in [20] proposed a scheme for cluster head selection and cluster formation using social characteristics of the users to improve spectrum and energy efficiencies. Similarly, a social-aware caching and resource sharing scheme for video streaming in 5G networks is addressed in [21]. This resource sharing strategy considers the social relationship information of each D2D pair, device information, the target SNR and the information of video files to make the decisions.…”

Section: Introductionmentioning

confidence: 99%

A QoE-Aware Mode Selection Framework for Video Streaming in D2D Networks

2020

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Device-to-Device (D2D) communication is a novel approach that has been proposed to enhance the performance of traditional cellular networks. This work focuses on video streaming using D2D communications underlaying a Long Term Evolution (LTE) network where resources are allocated to each D2D pair in three modes of operation; cellular, dedicated and reuse. The objective is to maximize the sumrate of the D2D pairs while maintaining continuous video playback with an acceptable quality level. Unlike previous works, which assign one channel to each user or divide the available resources equally between them or assume constant bit rate streaming (CBR), we estimate the number of Resource Blocks (RBs) needed for all users according to their rate and Signal-to-Noise Ratio (SNR) requirements and consider Scalable Video Coding (SVC). A complete Quality of Experience (QoE)-aware framework for D2D-based video streaming that includes resource allocation, power control, mode selection and SVC layer selection is then proposed while taking into consideration buffer occupancies and the video peak signal-to-noise ratio (PSNR). The efficacy of the proposed scheme is evaluated through extensive simulations and compared to the scenario where only one mode of operation is assigned to all D2D pairs. Furthermore, the effect of the number of D2D users as well as their mobility is also investigated. Simulation results show that the proposed framework improves the throughput of the D2D pairs when compared to a single mode of operation while at the same time providing better video quality and continuity.

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Social-Aware Caching and Resource Sharing Maximized Video Delivery Capacity in 5G Ultra-Dense Networks

Cited by 10 publications

References 45 publications

Spectrum Sharing and Power Allocation Optimised Multihop Multipath D2D Video Delivery in Beyond 5G Networks

Spectrum Sharing and Power Allocation Optimised Multihop Multipath D2D Video Delivery in Beyond 5G Networks

Cache Replacement Strategy With Limited Service Capacity in Heterogeneous Networks

A QoE-Aware Mode Selection Framework for Video Streaming in D2D Networks

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