Blockage and directivity in 60 GHz wireless personal area networks: from cross-layer model to multihop MAC design

Singh, Suresh; Ziliotto, F.; Madhow, Upamanyu; Belding, Elizabeth; Rodwell, M.J.W.

doi:10.1109/jsac.2009.091010

Cited by 253 publications

(185 citation statements)

References 36 publications

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“…Whereas, the throughput is reduced by a factor of 10 in 60 GHz networks due to an obstacle causing 10 dB attenuation [26]. It is possible to bypass an obstacle and keep connectivity of network via relay.…”

mentioning

confidence: 99%

Collaborative and Cognitive Network Platforms: Vision and Research Challenges

Onur

Durmus

Hawas

et al. 2011

Wireless Pers Commun

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Document VersionPublisher's PDF, also known as Version of Record (includes final page, issue and volume numbers) Please check the document version of this publication:• A submitted manuscript is the author's version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and page numbers. General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. Link to publication• Users may download and print one copy of any publication from the public portal for the purpose of private study or research.• You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Take down policyIf you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Abstract In this paper, we present a visionary concept referred to as Collaborative and Cognitive Network Platforms (CCNPs) as a future-proof solution for creating a dependable, self-organizing and self-managing communication substrate for effective ICT solutions to societal problems. CCNP creates a cooperative communication platform to support critical services across a range of business sectors. CCNP is based on the personal network (PN) technology which is an inherently cooperative environment prototyped in the Dutch Freeband PNP2008 and the European Union IST MAGNET projects. In CCNP, the cognitive control plane strives to exploit the resources to better satisfy the requirements of networked applications. CCNP facilitates collaboration inherently. Through cognition in the cognitive control plane, CCNP becomes a self-managed substrate. The self-managed substrate, in this paper, is defined as cognitive and collaborative middleware on which future applications run without user intervention. Endemic sensor networks may be incorporated into the CCNP concept to feed its cognitive control plane. In this paper, we present the CCNP concept and discuss the research challenges related to collaboration and cognition.

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confidence: 99%

Collaborative and Cognitive Network Platforms: Vision and Research Challenges

Onur

Durmus

Hawas

et al. 2011

Wireless Pers Commun

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“…The major drawbacks with using mmWave is huge propagation loss, directivity, and due to weak diffraction ability, it will become sensitive to blockage by obstacles such as humans and machines. For instance, blockage by a human penalizes the link budget by 20-30 dB [24]. The main application of mmWave in 5G will be niche applications and small-cells [25], [26], but for industrial automation it is more difficult to see its applicability because industrial environments evolve over time, as well as being cluttered with metallic equipment and obstacles.…”

Section: E Millimeter Wave Communicationsmentioning

confidence: 99%

Will 5G become yet another wireless technology for industrial automation?

Gidlund

Lennvall

Åkerberg

2017

2017 IEEE International Conference on Industrial Technology (ICIT)

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Abstract-With the growing interest in adoption of wireless technologies in industrial automation and the continuous search for new revenue streams new players are entering the arena in order to make their business grow further. One of the emerging wireless technologies aiming to support industrial automation applications is 5G, targeting anything from extreme throughput (> 10 Gbit/s) to extreme low latency (≤ 1 ms) to ultra high reliability (≥ 99.999%). In this article we intend to discuss the potential and challenges of adopting 5G in real industrial environments and give a more balanced picture compared to previous articles mainly written by telecom researchers and vendors as a way to promote their technology. Specifically, this article will discuss and provide some real industrial requirements, describe the main technical features of 5G and try to assess what applications it will support that are not by already supported by existing technologies. In the end, the success of 5G will depend on appealing business models and scalability, i.e., whether or not the same equipment can be deployed worldwide without any changes and spectrum rules, and the migration paths beyond 5G for reasonable business risks.

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“…The remaining APs must communicate with a gateway in order to send (receive) data to (from) the Internet. To overcome huge path attenuation, both the UEs and APs achieve directional transmissions with electronically steerable directional antennas by the beamforming technique [18].…”

Section: Related Workmentioning

confidence: 99%

“…The random path directional MAC (RPDMAC) [18] selects the transmission path for each flow randomly from its direct path and ordinary path. Its scheduling algorithm is the same as that of the D3MAC.…”

Section: ) Comparing With Optimal Solutionmentioning

confidence: 99%

Evaluating the Impact of User Behavior on D2D Communications in Millimeter-Wave Small Cells

Gao

et al. 2017

IEEE Trans. Veh. Technol.

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Abstract-Small cells in millimeter-wave (mmWave) band are able to provide multi-gigabit access data rates, and have emerged as a cost-efficient solution to offer interference-free deviceto-device (D2D) communications. In order to improve system performance and enhance user experience, direct transmissions between devices should be scheduled properly. We first propose a transmission scheduling scheme for radio access of small cells in mmWave band, termed directional D2D medium access control (D3MAC), whereby a path selection criterion is designed to enable D2D transmissions. Through extensive simulations, we demonstrate that D3MAC achieves near-optimal performance, and it outperforms other schemes significantly in terms of delay and throughput. Based on this near-optimal scheme, we then evaluate the impact of user behavior, including traffic mode and traffic load as well as user density, denseness and mobility, on the performance of D2D communications in mmWave small cells. Our study reveals that the performance of D2D communications is improved as the user density and denseness increase, but this effect is only obvious under heavy traffic loads. Furthermore, user mobility is shown to be another important factor that influences the performance of D2D communications in a complicated way. System performance is first improved as the average user speed increases from static, but performance is degraded significantly when the user speed becomes high.

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Blockage and directivity in 60 GHz wireless personal area networks: from cross-layer model to multihop MAC design

Cited by 253 publications

References 36 publications

Collaborative and Cognitive Network Platforms: Vision and Research Challenges

Collaborative and Cognitive Network Platforms: Vision and Research Challenges

Will 5G become yet another wireless technology for industrial automation?

Evaluating the Impact of User Behavior on D2D Communications in Millimeter-Wave Small Cells

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