Experimental investigations of 60 GHz WLAN systems in office environment

Maltsev, Alexander; Maslennikov, Roman; Sevastyanov, Alexey; Khoryaev, Alexey; Lomayev, Artyom

doi:10.1109/jsac.2009.091018

Cited by 235 publications

(147 citation statements)

References 20 publications

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“…A simplified shape model yields the tapped delay line model, e.g., as reported for indoor rooms [77] at 62 GHz and outdoor fixed links [33], [78] around 30 GHz. The delay-domain multi-cluster model is parameterized in various scenarios, such as desktop [79], residential, office, and kiosk [80], cubicle office [81], [82], a conference room [83], and inside a passenger car compartment [84]. A number of refinement is made compared to the original multi-cluster model; the desktop model [79] introduces a two-path model in addition to the multi-cluster model that represents the fading due to LOS and a reflection from a desk.…”

Section: Power Delay Profilesmentioning

confidence: 99%

“…A number of refinement is made compared to the original multi-cluster model; the desktop model [79] introduces a two-path model in addition to the multi-cluster model that represents the fading due to LOS and a reflection from a desk. The conference room model [82] introduces an exponential power decay of clusters over delay before the cluster peak, in addition to those after the peak. They are called pre-cursor and post-cursor intra-cluster models, which are observed often when the main beams of antennas are pointing to one of the scattering objects in a cluster.…”

Section: Power Delay Profilesmentioning

confidence: 99%

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Channel Models and Beamforming at Millimeter-Wave Frequency Bands

Haneda

2015

IEICE Trans. Commun.

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SUMMARYMillimeter-wave (mm-wave) radio is attracting attention as one of the key enabling physical layer technologies for the fifthgeneration (5G) mobile access and backhaul. This paper aims at clarifying possible roles of mm-wave radio in the 5G development and performing a comprehensive literature survey on mm-wave radio channel modeling essential for the feasibility study. Emphasis in the literature survey is laid on grasping the typical behavior of mm-wave channels, identifying missing features in the presently available channel models for the design and evaluation of the mm-wave radio links within the 5G context, and exemplifying different channel modeling activities through analyses performed in the authors' group. As a key technological element of the mm-wave radios, reduced complexity beamforming is also addressed. Design criteria of the beamforming are developed based on the spatial multipath characteristics of measured indoor mm-wave channels.

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Section: Power Delay Profilesmentioning

confidence: 99%

Section: Power Delay Profilesmentioning

confidence: 99%

Channel Models and Beamforming at Millimeter-Wave Frequency Bands

Haneda

2015

IEICE Trans. Commun.

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“…The physical layer was designed to support the transmission of data within a few meters at a maximum data rate of 2 Gbps. These models have been developed for communications in the frequency band 57 to 66 GHz in indoor residential, indoor office and library environments [15][16]. The transmitted 60 GHz signals can be expressed as:…”

Section: System Modelmentioning

confidence: 99%

NLOS Identification Based on Energy Receiver Using IEEE 802.15.3c

Zhang¹,

Zhang²,

Liang³

2016

Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering

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Abstract. Non-line-of-sight (NLOS) is the major problem for the indoor localization. So as to deal with NLOS propagation, a novel NLOS identification method is proposed based on the skewness and slope of the (energy detection) ED-based received energy block. IEEE 802.15.3c 60 GHz channel models are used as examples to be explained in detail. The proposed approach relies on the ED-based parameters which make it simple. Numerical simulations results show that the accuracy of NLOS identification up to 80% which is higher than other ED-based NLOS identification.

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“…Measurements in [4,5,6] show that in the 60 GHz band signal propagates via both a direct path and by means of reflections from objects. The work in [4] provides measurement results and analyzes the 60 GHz space-time channel in LOS (line-of-sight) room and hallway environments.…”

Section: B Propagation Mechanismsmentioning

confidence: 99%

“…(6). Following the direct discovery method described in Section 3, P L i,j (f ) can be expressed as:…”

Section: Direct Discovery Analysismentioning

confidence: 99%

Directional neighbor discovery in 60 GHz indoor wireless networks

Ning

Kim

Krishnamurthy

et al. 2011

Performance Evaluation

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The unlicensed 60 GHz band brings the promise of multi-gigabit data rates to support new applications such as high definition video over wireless links. Signal propagation in the 60 GHz band significantly differs from that in the traditionally used 2.4 and 5 GHz bands. The propagation and penetration losses in the 60 GHz band are much higher. Furthermore, the signals are often reflected in indoor settings. Previous physical layer studies show that the use of directional antennas can significantly help in coping with these effects. In this paper, we address the problem of neighbor discovery in the 60 GHz band. We account for not only discovery via direct line-of-sight paths, but also via reflected beams. To the best of our knowledge, none of the previous efforts on higher layer protocols for use with directional antennas account for reflections. We consider two approaches for neighbor discovery (a) direct discovery where each node explicitly discovers its neighbors and, (b) gossipbased discovery where nodes exchange information with regards to their already discovered neighbors. We develop analytical models to capture the performance of the two approaches and validate the models via simulations in indoor settings with obstacles that reflect the transmitted signals. As one might expect, the gossip based discovery incurs a lower neighbor-discovery latency than direct discovery. We examine the impact of system parameters such as varying beamwidth and node density. Our study provides insights on the right choice of system parameters for efficient neighbor discovery in the 60 GHz regime.

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Experimental investigations of 60 GHz WLAN systems in office environment

Cited by 235 publications

References 20 publications

Channel Models and Beamforming at Millimeter-Wave Frequency Bands

Channel Models and Beamforming at Millimeter-Wave Frequency Bands

NLOS Identification Based on Energy Receiver Using IEEE 802.15.3c

Directional neighbor discovery in 60 GHz indoor wireless networks

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