Device-to-device meets LTE-unlicensed

Wu, Yue; Guo, Weisi; Yuan, Hu; Long, Li; Wang, Siyi; Chu, Xiaoli; Zhang, Jie

doi:10.1109/mcom.2016.7470950

Cited by 64 publications

(39 citation statements)

References 14 publications

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“…Each RUE can calculate (13) as it knows N and P R,M N . Furthermore, RUEs can obtain each others second-hop channel power gains through (8) and hence are able to calculate (14). Therefore, RUEs can in distributed manner by means of (12) evaluate their suitability for improving instantaneous EE.…”

Section: Distributed Forwarding Mode Selectionmentioning

confidence: 99%

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Energy- and Spectral-Efficient Adaptive Forwarding Strategy for Multi-Hop Device-to-Device Communications Overlaying Cellular Networks

Klaiqi

Chu

Zhang

2018

IEEE Trans. Wireless Commun.

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Abstract-Device-to-device (D2D) communications in cellular networks enable direct transmissions between user equipments (UEs). If the source UE (SUE) and the destination UE (DUE) are far away from each other or the channel between them is too weak for direct transmission, then multi-hop D2D communications, where relay UEs (RUEs) forward the SUE's data packets to the DUE, can be used. In this paper, we propose an energyefficient optimal adaptive forwarding strategy (OAFS) for multihop D2D communications. OAFS adaptively chooses between the best relay forwarding (BRF) mode and the cooperative relay beamforming (CRB) mode with the optimal number of RUEs, depending on which of them provides the higher energy efficiency (EE). To reduce the computational complexity for selecting the optimal RUEs for CRB mode, we propose a low-complexity suboptimal adaptive forwarding strategy (SAFS) that selects between the BRF and the CRB with two RUEs by comparing their EE. Furthermore, a distributed forwarding mode selection approach is proposed to reduce the overhead for forwarding mode selection. The analytical and simulation results show that OAFS and SAFS exhibit significantly higher EE and spectral efficiency (SE) than BRF, CRB, direct D2D communications and conventional cellular communications. SAFS is almost as energy-and spectral-efficient as OAFS.

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Section: Distributed Forwarding Mode Selectionmentioning

confidence: 99%

“…Direct communications between UEs can be realized using cellular spectrum (in-band [11] [12]) or unlicensed spectrum (out-of-band [13] [14]). For in-band communications, D2D links can share the radio resources with cellular links (underlay [11]) or use dedicated cellular resources (overlay [12]).…”

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confidence: 99%

Energy- and Spectral-Efficient Adaptive Forwarding Strategy for Multi-Hop Device-to-Device Communications Overlaying Cellular Networks

Klaiqi

Chu

Zhang

2018

IEEE Trans. Wireless Commun.

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“…There have been very few papers on the coexistence of D2D and WiFi in the unlicensed band. In the work of Wu et al, the coexistence of D2D and WiFi is examined. The paper compared performance versus fairness in the network and observed that throughput can only be improved by allowing a longer transmission period for D2D communication in the network.…”

Section: Review Of Related Workmentioning

confidence: 99%

Hierarchical decision model for throughput maximization in D2D‐enabled LTE‐WiFi HetNets

Gbenga-Ilori

Sezgin

2018

Trans Emerging Tel Tech

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This paper proposes a hierarchical decision model for efficient and fair coexistence of Wireless Fidelity (WiFi) and heterogeneous cellular networks with device‐to‐device (D2D) communications. The first submodel is an allocation game formulated to model the data rate gain possible through the deployment of D2D communication in cellular networks. This is to guarantee that the Long‐Term Evolution (LTE) network is optimally utilized before offloading traffic to WiFi small cells. The second submodel is a Markovian model proposed as an optimal spectrum sharing scheme that guarantees efficient spectrum utilization and interference reduction in LTE‐WiFi heterogeneous networks (HetNets). Simulation results verify that the proposed decision model not only provides a more spectrum efficient sharing scheme but also shows better network throughput while ensuring fairness in spectrum access for WiFi users.

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“…The D2D communication links can utilise either the in-band cellular spectrum or out-band spectrum (pre-defined, i.e., LTE-U [18]). Due to the scarcity of the spectrum and the transmission regulations in unlicensed bands, the in-band case is selected for analysis, where low power D2D communications share the same spectrum as the conventional cellular (CC) channels [1,2].…”

Section: System Setupmentioning

confidence: 99%

Interference‐aware multi‐hop path selection for device‐to‐device communications in a cellular interference environment

et al. 2017

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Minming. (2017) Interference-aware multi-hop path selection for device-to-device communications in a cellular interference environment. IET Communications. Permanent WRAP URL:http://wrap.warwick.ac.uk/87352 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:"This paper is a postprint of a paper submitted to and accepted for publication in IET Communications and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library" 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: Device-to-Device (D2D) communications is widely seen as an efficient network capacity scaling technology. The co-existence of D2D with conventional cellular (CC) transmissions causes unwanted interference. Existing techniques have focused on improving the throughput of D2D communications by optimising the radio resource management and power allocation. However, very little is understood about the impact of the route selection of the users and how optimal routing can reduce interference and improve the overall network capacity. In fact, traditional wisdom indicates that minimising the number of hops or the total path distance is preferable. Yet, when interference is considered, we show that this is not the case. In this paper, we show that by understanding the location of the user, an interference-aware routing algorithm can be devised. We propose an adaptive Interference-Aware-Routing (IAR) algorithm, that on average achieves a 30% increase in hop distance, but can improve the overall network capacity by 50% whilst only incurring a minor 2% degradation to the CC capacity. The analysis framework and the results open up new avenues of research in location-dependent optimization in wireless systems, which is particularly important for increasingly dense and semantic-aware deployments.

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Device-to-device meets LTE-unlicensed

Cited by 64 publications

References 14 publications

Energy- and Spectral-Efficient Adaptive Forwarding Strategy for Multi-Hop Device-to-Device Communications Overlaying Cellular Networks

Energy- and Spectral-Efficient Adaptive Forwarding Strategy for Multi-Hop Device-to-Device Communications Overlaying Cellular Networks

Hierarchical decision model for throughput maximization in D2D‐enabled LTE‐WiFi HetNets

Interference‐aware multi‐hop path selection for device‐to‐device communications in a cellular interference environment

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