Relay-Assisted D2D Underlay Cellular Network Analysis Using Stochastic Geometry: Overview and Future Directions

Amodu, Oluwatosin Ahmed; Othman, Мohamed; Noordin, Nor Kamariah; Ahmad, Idawaty

doi:10.1109/access.2019.2933915

Cited by 26 publications

(17 citation statements)

References 229 publications

(281 reference statements)

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“…Many papers propose clustering approaches [8,9,10]. They group the covered mobile terminals in clusters then a cluster head is selected to relay the data to the out of coverage UE.…”

Section: Related Workmentioning

confidence: 99%

Energy Efficient Two-hop D2D Communications Underlay 5G Networks: A Stackelberg Game Approach

Selmi

Boullègue

2021

JCOMSS

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Although coverage and capacity are the key elements of the 5G user experience, a dominant part of the population living in rural areas still experience inferior connectivity. Several solutions have been proposed to address this issue. They include deploying small cells, increasing the number of sectors per eNodeB, and reusing signal repetition. However, most of them require complex deployment and expensive fees. Accordingly, many efforts have been deployed on coverage extension software. Even so, many critical issues related to public safety, relay capacity, and devices power constraints are still challenging. As a contribution, we propose in this paper a spectral and energy-efficient two-hop device to device (D2D) relay selection algorithm. Our main goal is to extend the connectivity to the out-of-coverage (OOC) devices. Contrarily to previous solutions in which the relay is selected centrally or individually, we propose a distributed two-stage algorithm based on the Stackelberg game to involve all the competing devices. In the first stage, the OOC devices (OCDUs) are matched with the relays maximizing their spectral efficiency, and the required bandwidth for each one is determined. Then, a power control stage is investigated to calculate the optimal transmission power. The numerical and simulation analysis shows that the proposed schema outperforms the former solutions in total system capacity, spectral efficiency (SE), and energy efficiency (EE) while reducing the complexity.

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“…Many papers propose clustering approaches [8,9,10]. They group the covered mobile terminals in clusters then a cluster head is selected to relay the data to the out of coverage UE.…”

Section: Related Workmentioning

confidence: 99%

Energy Efficient Two-hop D2D Communications Underlay 5G Networks: A Stackelberg Game Approach

Selmi

Boullègue

2021

JCOMSS

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“…Several surveys have covered the general principles and mechanisms of D2D communications [53]- [59]. Moreover, specific aspects of D2D communication have been surveyed, namely D2D communications architectures [60], device discovery for D2D communications [61], relay assisted D2D [62], and mobility [63]. The interference management for D2D links has been surveyed in [64], [65], while D2D channel models were covered in [66].…”

Section: B Related Surveys On Mec and D2d Communicationmentioning

confidence: 99%

Device-Enhanced MEC: Multi-Access Edge Computing (MEC) Aided by End Device Computation and Caching: A Survey

et al. 2019

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Multi-access edge computing (MEC) has recently been proposed to aid mobile end devices in providing compute-and data-intensive services with low latency. Growing service demands by the end devices may overwhelm MEC installations, while cost constraints limit the increases of the installed MEC computing and data storage capacities. At the same time, the ever increasing computation capabilities and storage capacities of mobile end devices are valuable resources that can be utilized to enhance the MEC. This article comprehensively surveys the topic area of device-enhanced MEC, i.e., mechanisms that jointly utilize the resources of the community of end devices and the installed MEC to provide services to end devices. We classify the device-enhanced MEC mechanisms into mechanisms for computation offloading and mechanisms for caching. We further subclassify the offloading and caching mechanisms according to the targeted performance goals, which include throughput maximization, latency minimization, energy conservation, utility maximization, and enhanced security. We identify the main limitations of the existing device-enhanced MEC mechanisms and outline future research directions. INDEX TERMS Caching, computation offloading, device-to-device (D2D) communication, mobile edge computing (MEC). I. INTRODUCTION A. MOTIVATION

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“…In addition, the meta distribution has been applied to evaluate the performance of D2D networks [13]- [16], coordinated multi-point (CoMP) in Poisson cellular networks [17], [18], and power control scheme for both downlink and uplink of cellular networks [19]. Furthermore, cell range expansion/offloading is employed in [12] and [20].…”

Section: A Motivation and Related Workmentioning

confidence: 99%

Analysis of SIR and Rate Meta Distributions for 3D Heterogenous Ultra-Dense Networks With Joint Offloading and Resource Partitioning

Luo

Shi

2020

IEEE Access

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In heterogeneous ultra-dense networks (HUDNs), load balancing is always considered by offloading users from the macro base station (MBS) tier to the small base station (SBS) tier, to alleviate the data traffic of the MBS tier, while it causes a serious problem that the offloaded users will suffer strong interference from the MBS tier, and hence the signal-to-interference ratio (SIR) is in low region for the offloaded users. In order to improve the performance of these offloaded users, an interference mitigation scheme based on resource partitioning is employed in the literature. Specifically, a fraction of resource blocks (RBs) is reserved for the offloaded users, and then the SIRs of these users will be enhanced because there is only interference from the SBS tier. In summary, the combination of offloading and resource partitioning is called joint offloading and resource partitioning scheme, which has been investigated in the HUDNs built on the 2D space, while it has rarely been deliberated in 3D HUDNs that are used to model the scenario of high-rise buildings. Moreover, a two-tier 3D HUDN is proposed in this paper, and the MBS and SBS tiers are modeled as two independent Poisson point processes. Then, the SIR and rate meta distributions, which are used to characterize the fraction of users that achieve a desired link reliability given SIR or rate thresholds, are formulated for the proposed 3D HUDN. Lastly, numerical results show that with the usage of the joint offloading and resource partitioning scheme, the performance of the proposed 3D HUND can be significantly improved. INDEX TERMS 3D, heterogenous ultra-dense network, offloading, Poisson point process, resource partitioning, SIR and rate meta distributions.

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Relay-Assisted D2D Underlay Cellular Network Analysis Using Stochastic Geometry: Overview and Future Directions

Cited by 26 publications

References 229 publications

Energy Efficient Two-hop D2D Communications Underlay 5G Networks: A Stackelberg Game Approach

Energy Efficient Two-hop D2D Communications Underlay 5G Networks: A Stackelberg Game Approach

Device-Enhanced MEC: Multi-Access Edge Computing (MEC) Aided by End Device Computation and Caching: A Survey

Analysis of SIR and Rate Meta Distributions for 3D Heterogenous Ultra-Dense Networks With Joint Offloading and Resource Partitioning

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