Enhanced C-RAN Using D2D Network

Huq, Kazi Mohammed Saidul; Mumtaz, Shahid; Rodrı́guez, Jonathan; Marques, Paulo; Okyere, Bismark; Frascolla, Valerio

doi:10.1109/mcom.2017.1600497cm

Cited by 65 publications

(22 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Recently, many researchers focus on these fields. The capacity which is an important performance indicator is analysed in detail [4][5][6][7]. These papers validate that D2D communications can efficiently improve the capacity in terms of the ergodic capacity and throughput, which is the foundation of implementing D2D communication system.…”

Section: Introductionmentioning

confidence: 69%

User pairing scheme in mobility‐aware D2D communication system

Sun

Zhou

et al. 2020

IET Communications

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 69%

User pairing scheme in mobility‐aware D2D communication system

Sun

Zhou

et al. 2020

IET Communications

View full text Add to dashboard Cite

“…Narrowing to efforts close to ours, as reported in [1], some first exploratory research activities have considered cooperation issues between edges and the core, but only a very few works concentrated on the opportunities of having cooperation between devices and the edges. Considering MCS as application scenario, [2] and [3] propose to enhance the MCS process by leveraging intermediate MEC nodes, namely, FMECs, to boost data upload from mobile nodes to the infrastructure [2] and to provide more computing/storage capabilities closer to end mobile devices [3]. To address relevant energy efficiency issues, [8] proposes an interesting approach based on game-theory in order to select task and manage the scheduling of the edge of the network by introducing the notion of Container-as-a-Service.…”

Section: Related Workmentioning

confidence: 99%

“…In other words, we claim that there are several practical cases of large and growing relevance where the joint exploitation of MEC and MCS solutions would bring highly significant benefits in terms of efficient resource usage and perceived service quality. To the best of our knowledge, only a very limited number of seminal works has explored the mutual advantages in the joint use of these two classes of solutions, and they are mostly focused on pure technical communication aspects without considering the crucial importance of having humans as central contributors in the loop [2,3,4].…”

Section: Introductionmentioning

confidence: 99%

Human-Enabled Edge Computing: Exploiting the Crowd as a Dynamic Extension of Mobile Edge Computing

et al. 2018

View full text Add to dashboard Cite

The Mobile Edge Computing (MEC) vision leverages the availability of powerful and low-cost middle boxes, statically deployed at suitable edges of the network and acting as local proxies for the centralized cloud backbone; this potentially enables, among the others, better scalability and better reactivity in the interaction with mobile nodes via local control decisions and actuation. MEC has already been proposed as an enabler for several Internet-of-Things and Cyber-Physical Systems application scenarios, but mutual benefits due to the integration of MEC and Mobile CrowdSensing (MCS). The paper originally proposes Human-driven Edge Computing (HEC) as a new model to ease the provisioning and to extend the coverage of traditional MEC solutions. From a methodological perspective, we show how it is possible to exploit MCS i) to support the effective deployment of Fixed MEC (FMEC) proxies and ii) to further extend their coverage through the introduction of impromptu and human-enabled Mobile MEC (M 2 EC) proxies. In addition, we describe how we have implemented these novel concepts in the MCS ParticipAct platform through the integration of the MEC Elijah platform in the ParticipAct living lab, an ongoing MCS real-world experiment that involved about 170 students of the University of Bologna for more than two years. Reported experimental results quantitatively show the effectiveness of the proposed techniques in elastically scaling the load at edge nodes according to runtime provisioning needs.

show abstract

“…On the other hand, it requires a huge investment and thus imposes a huge burden on mobile network operators. Cloud Radio Access Network (C-RAN) [9], [10] is mainly composed of a relatively small number of centralized BaseBand Units (BBUs) and a relatively large number of distributed Remote Radio Heads (RRHs). Since the costs of RRHs are much lower than those of traditional base stations, C-RAN is helpful to reduce capital and operational expenditure costs for mobile network operators while guaranteeing ultra-dense coverage.…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Resource Sharing Scheme With Out-Band D2D Relay-Aided Communications in C-RAN-Based Underlay Cellular Networks

Gui

Xiong

et al. 2019

IEEE Access

View full text Add to dashboard Cite

Device-to-Device (D2D) communications and cloud radio access network (C-RAN) can improve Spectrum Efficiency (SE). However, extremely severe intra-cell interference and inter-cell interference hinder the improvement of energy efficiency (EE). In the existing typical work, a centralized interference mitigation algorithm is deployed in cellular infrastructure to try to eliminate these types of interferences. Although this method improves the quality of service, it hardly reduces the energy consumption of cellular user equipments (UEs). Moreover, it increases the energy consumption of cellular infrastructure. In this paper, we first introduce out-band D2D relays to assist the cellular communications, which can shorten the average transmission distance of cellular UEs and thus make them improve their EE and reduce the inter-cell interference for each other. Then, we propose an energy-efficient resource sharing scheme to determine channel selection and power allocation. Next, we formulate the resource sharing problem as the noncooperative game model, where each UE optimizes its EE respectively with the aid of the remote radio heads in C-RAN. Finally, in order to obtain the optimal EE of each UE, we let the non-concave optimization problem be transformed into the concave form by using constraint relaxation and nonlinear fractional programming and solve the transformed problem by Dinkelbach's method and the Lagrangian duality theory. The simulation results show that the SE and EE of cellular UEs can be improved by 64.63% and 24.97%, respectively when adopting the parameters with the best values in our relay selection strategies. INDEX TERMS Cloud radio access network, out-band D2D relay-aided communication, noncooperative game, resource sharing, energy efficiency.

show abstract

Enhanced C-RAN Using D2D Network

Cited by 65 publications

References 8 publications

User pairing scheme in mobility‐aware D2D communication system

User pairing scheme in mobility‐aware D2D communication system

Human-Enabled Edge Computing: Exploiting the Crowd as a Dynamic Extension of Mobile Edge Computing

Energy-Efficient Resource Sharing Scheme With Out-Band D2D Relay-Aided Communications in C-RAN-Based Underlay Cellular Networks

Contact Info

Product

Resources

About