Intracluster Device-to-Device Relay Algorithm With Optimal Resource Utilization

Zhou, Bin; Hu, Honglin; Huang, Sheng-Qiang; Chen, Hsiao‐Hwa

doi:10.1109/tvt.2012.2237557

Cited by 231 publications

(168 citation statements)

References 21 publications

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“…This is the case when the destination is out range of the source [15]. This is also the case when an obstacle exists between the source and the destination [16].…”

Section: A Assumptionsmentioning

confidence: 99%

Pilot-Based Channel Estimation for AF Relaying Using Energy Harvesting

Chen

Feng

Shi

et al. 2017

IEEE Trans. Veh. Technol.

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Ning. (2017) Pilot-based channel estimation for AF relaying using energy harvesting. IEEE Transactions on Vehicular Technology . Permanent WRAP URL:http://wrap.warwick.ac.uk/85078 Copyright and reuse:The Warwick Research Archive Portal (WRAP) makes this work by researchers of the University of Warwick available open access under the following conditions. Copyright © and all moral rights to the version of the paper presented here belong to the individual author(s) and/or other copyright owners. To the extent reasonable and practicable the material made available in WRAP has been checked for eligibility before being made available.Copies of full items can be used for personal research or study, educational, or not-for profit purposes without prior permission or charge. Provided that the authors, title and full bibliographic details are credited, a hyperlink and/or URL is given for the original metadata page and the content is not changed in any way.Publisher's statement: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. A note on versions:The version presented here may differ from the published version or, version of record, if you wish to cite this item you are advised to consult the publisher's version. Please see the 'permanent WRAP url' above for details on accessing the published version and note that access may require a subscription. Abstract-In existing channel estimators for amplify-andforward relaying, pilots are often sent from the relay to the destination which consumes the relay's own energy. This limits the relay's participation in the network. In this paper, several moment-based channel estimators for amplify-and-forward relaying are proposed that harvest energy from the source and using the harvested energy to send pilots to the destination for channel estimation. Both time-switching and power-splitting strategies are considered. Numerical results show that the two schemes that perform channel estimation only at the destination have worse performances than the two schemes that perform channel estimation at both the relay and the destination. They also show that the bit error rate performances of all schemes are close to the perfect case when exact knowledge of the channel state information is available such that there is no channel estimation error in the demodulation. The assumption that the two schemes only perform channel estimation at the destination makes them simpler, as they do not require channel estimation at the relay or feed the channel estimate back to the destination.

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“…This is the case when the destination is out range of the source [15]. This is also the case when an obstacle exists between the source and the destination [16].…”

Section: A Assumptionsmentioning

confidence: 99%

Pilot-Based Channel Estimation for AF Relaying Using Energy Harvesting

Chen

Feng

Shi

et al. 2017

IEEE Trans. Veh. Technol.

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“…As future perspectives, the JOS problem may be investigated in more challenging scenarios: when multiple D2D communications of the same or from different hotspots are allowed per PRB into the same cell or using relays (i.e., more than onehop) [23], multiple layers are required to be processed and the scheduling problem tends to be more complex. Hence, the cooperation among cells of the same site such as in Coordinated Multipoint (CoMP) systems may be considered to jointly schedule multiple D2D pairs and the cellular UE.…”

Section: Rmentioning

confidence: 99%

Joint Opportunistic Scheduling of Cellular and Device-to-Device Communications

Batista¹,

Silva

Maciel³

et al. 2017

JCIS

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Abstract-The joint scheduling of cellular and D2D communications to share the same radio resource is a complex task. In one hand, D2D links provide very high throughputs. In the other hand, the intra-cell interference they cause impacts on the performance of cellular communications. Therefore, designing algorithms and mechanisms that allow an efficient reuse of resources by the D2D links with a reduced impact on cellular communications is a key problem. In general, traditional Radio Resource Management (RRM) schemes (D2D grouping and mode selection) focus on finding the most compatible D2D pair for an already scheduled cellular User Equipment (UE). However, such approach limits the number of possible combinations to form the group (composed by a cellular UE and a D2D pair) to be scheduled in the radio resource. To overcome that, in this work a unified Joint Opportunistic Scheduling (JOS) of cellular and D2D communications, which is able to improve the total system throughput by exploiting the spatial compatibility among cellular and D2D UEs, is proposed. But more complexity is brought to the scheduling problem. Thus, a low-complexity suboptimal heuristic Joint Opportunistic Assignment and Scheduling (JOAS) is also elaborated. Results show that it is possible to reduce the computational complexity but still improve the overall performance in terms of cellular fairness and total system throughput with less impact on cellular communications.Index Terms-LTE, network-assisted device-to-device communications, D2D, radio resource management, RRM, proportional fair, grouping, mode selection, joint opportunistic scheduling. I. I A. Background: Dealing with Additional Interference BY enabling direct and low-power communication among users, hereafter generally referred as User Equipments (UEs), Device-to-Device (D2D) communication leads to an improved spectrum utilization, system capacity and/or Quality of Service (QoS) levels; and at cell boundaries, D2D links may be used as relays to extend the coverage area [1], [2].Due to their aforementioned advantages and deployment flexibility, D2D communications are considered in 3rd Generation Partnership Project (3GPP) to facilitate Machine-Type Communication (MTC)/proximity aware services, and security/public safety applications, becoming part of Long Term Evolution (LTE) standards [3]. In this context, conventional cellular and D2D communications can be respectively referred as primary and secondary communications.The authors are with Wireless Telecom Research Group (GTEL) at Federal University of Ceará (UFC), Fortaleza, Ceará, Brazil. E-mails: {rodrigobatista, cfms, maciel, mairton, rodrigo}@gtel.ufc.br.The Associate Editor coordinating the review of this manuscript and approving it for publication was Prof. José Cândido Santos Filho.https://doi.org/10.14209/jcis.2017.7But, transmissions conveyed to cellular and D2D UEs on the same radio resource are coupled by intra-cell interference.Therefore, designing algorithms and mechanisms that allow an efficient reuse of resources by ...

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“…A near-optimal discovery algorithm selects the best data forwarder for receivers with poor channel quality. The authors in [31] devised an algorithm to figure out the optimal number of relays inside the cluster. The paper focuses on in-band D2D communications, such that considered in [2].…”

Section: Related Workmentioning

confidence: 99%

A joint multicast/D2D learning-based approach to LTE traffic offloading

Rebecchi

Valerio

Bruno

et al. 2015

Computer Communications

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Multicast is the obvious choice for disseminating popular data on cellular networks. In spite of having better spectral efficiency than unicast, its performance is bounded by the user with the worst channel in the cell. To overcome this limitation, we propose to combine multicast with device-to-device (D2D) communications over an orthogonal channel. Such a strategy improves the efficiency of the dissemination process while saving resources at the base station. It is quite challenging, however, to decide which users should be served through multicast transmissions and which ones should receive the content via D2D communications. The progress of content dissemination through D2D communications depends on how users meet while on the move. The optimal decision for each content depends both on the status of the LTE channel (when the multicast transmission is executed) and on the evolution of the mobility process of the nodes from there on. We propose a learning solution based on a multi-armed bandit algorithm that dynamically selects the best allocation of users between multicast and D2D to guarantee the timely delivery of data. Numerical evaluations are performed to compare our proposal with the state-of-the-art scheme and an optimal but unfeasible strategy. We confirm that a proper mix of multicast and D2D helps operators save resources at the base station and that the learning algorithm can autonomously find a near-optimal configuration in a reasonable time.

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Intracluster Device-to-Device Relay Algorithm With Optimal Resource Utilization

Cited by 231 publications

References 21 publications

Pilot-Based Channel Estimation for AF Relaying Using Energy Harvesting

Pilot-Based Channel Estimation for AF Relaying Using Energy Harvesting

Joint Opportunistic Scheduling of Cellular and Device-to-Device Communications

A joint multicast/D2D learning-based approach to LTE traffic offloading

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