Switched‐beam array of dielectric rod antenna with RF‐MEMS switch for millimeter‐wave applications

Rousstia, MW Mohadig; Reniers, A.C.F.; Herben, Mhaj Matti

doi:10.1002/2014rs005471

Cited by 9 publications

(5 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…2, we used a permittivity of 3.1 and loss tangent of 0.004, which have been characterized at 60 GHz. The production tolerances could also be included into the simulation model [13]. …”

Section: The Simulation Modelmentioning

confidence: 99%

See 1 more Smart Citation

Review of the accuracy and precision of mm-wave antenna simulations and measurements

Reniers

Liu

Herben

et al. 2016

2016 10th European Conference on Antennas and Propagation (EuCAP)

View full text Add to dashboard Cite

Abstract-Accuracy and precision are important metrics that can be used to validate the quality of the antenna simulation model and antenna measurement with respect to the design criteria of the antenna. Both metrics were applied to identify the influences that caused inaccurate and tolerant results of both simulations and measurements which have been done in the past. Identified influences for simulations are the input parameters like the permittivity and loss tangent, but also the simulation conditions like the port definition. For the measurement these influences are mainly determined by the interconnections, motor backlash and test environment.Index Terms-mm-wave, 60 GHz, antenna measurement, antenna simulation model, accuracy and precision.

show abstract

“…2, we used a permittivity of 3.1 and loss tangent of 0.004, which have been characterized at 60 GHz. The production tolerances could also be included into the simulation model [13]. …”

Section: The Simulation Modelmentioning

confidence: 99%

“…This error could be reduced, but will influence the production yield. In [13] the production tolerances were added to the simulation model and the effects have been presented as a minimum and maximum result. Based on such a model the measurement results should fit within those min / max values.…”

Section: A Simulation Input Precisionmentioning

confidence: 99%

Review of the accuracy and precision of mm-wave antenna simulations and measurements

Reniers

Liu

Herben

et al. 2016

2016 10th European Conference on Antennas and Propagation (EuCAP)

View full text Add to dashboard Cite

show abstract

“…This model represents real directional antennas that may radiate and interfere only within an angle given by the HPBW. Such assumption is based on a simple analytical model [113] which characterizes the electric field of an antenna as a function of the beamwidth. As depicted in Figure 4.2, actual beam-patterns may radiate non-negligible power in sidelobe directions.…”

Section: Methodsmentioning

confidence: 99%

Coverage Optimization with a Dynamic Network of Drone Relays

Arribas

Mancuso

Cholvi

2020

IEEE Trans. on Mobile Comput.

View full text Add to dashboard Cite

show abstract

“…This model represents real directional antennas that may radiate and interfere only within an angle given by the HPBW. Such assumption is based on a simple analytical model [54] which characterizes the electric field of an antenna as a function of the beamwidth. As depicted in Fig.…”

Section: The Achieved Signal-to-noise Ratio Is Snr = 10mentioning

confidence: 99%

Optimizing mmWave Wireless Backhaul Scheduling

Arribas

Anta

Kowalski

et al. 2020

IEEE Trans. on Mobile Comput.

View full text Add to dashboard Cite

Millimeter wave (mmWave) communication not only provides ultra-high speed radio access but is also ideally suited for efficient and flexible wireless backhauling. Specifically for dense deployments, a mmWave macro base station (MBS) that serves a large number of mmWave micro base stations (µBSs) is much more cost effective than legacy cellular architectures which connect µBSs to the core network through fibers. In addition, µBSs can cooperate with each other by acting as relay nodes. The directional nature of mmWave communication allows for spatial reuse, even in the presence of interference, which can be exploited to optimize mmWave wireless backhaul performance. The optimization opportunistically prioritizes the use of good connections at the MBS and further leverages compact and concurrent transmissions between µBS. Relays and directional antennas speed up communication, but increase the complexity of the scheduling problem. In this work, we study the mmWave backhaul scheduling problem and derive an MILP formulation for it as well as upper and lower bounds. We prove that the problem is NP-hard and can be approximated, but only if interference is negligible. By means of numerical simulations, we compare theoretical results with heuristics in small system sizes. Results validate the analysis and demonstrate the high performance of our heuristics in realistic cellular settings.

show abstract

Switched‐beam array of dielectric rod antenna with RF‐MEMS switch for millimeter‐wave applications

Cited by 9 publications

References 18 publications

Review of the accuracy and precision of mm-wave antenna simulations and measurements

Review of the accuracy and precision of mm-wave antenna simulations and measurements

Coverage Optimization with a Dynamic Network of Drone Relays

Optimizing mmWave Wireless Backhaul Scheduling

Contact Info

Product

Resources

About