MAC Aspects of Millimeter-Wave Cellular Networks

Ghadikolaei, Hossein S.

doi:10.5772/intechopen.89075

Cited by 4 publications

(2 citation statements)

References 44 publications

(63 reference statements)

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“…In a mesh network, all primary units act as routers that generate their own Wi-Fi signal and have a transmission function for data between routers, similar to regular Wi-Fi repeaters. This enables the routers or “mesh nodes” to connect to each other and potentially to a stationary modem for internet access, allowing for a completely linked network where any two points or nodes are connected through a path that may include intermediate nodes [ 53 ].…”

Section: Automation and Teleoperationmentioning

confidence: 99%

Use-Case-Oriented Evaluation of Wireless Communication Technologies for Advanced Underground Mining Operations

Theissen

Kern

Hartmann

et al. 2023

Sensors

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This work aims to give an overview of wireless communication technologies (WCT) for underground applications. Difficulties regarding the harsh mining environment and operational constraints for WCT implementation and use are discussed. Selected technologies are then classified regarding underground mining-specific use cases in advanced mining operations. Use-case-based application categories such as ‘automation and teleoperation’, ‘tracking and tracing’ and ‘Long-Range Underground Monitoring (LUM)’ are defined. The use cases determine requirements for the operational suitability and also quantify evaluation criteria for the evaluation of WCT. The result is a comparison by category of the wireless technologies, which underlines potentials of different technologies for defined use cases, but it can be concluded that the technology always has to be evaluated within the use case and operational constraints.

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Section: Automation and Teleoperationmentioning

confidence: 99%

Use-Case-Oriented Evaluation of Wireless Communication Technologies for Advanced Underground Mining Operations

Theissen

Kern

Hartmann

et al. 2023

Sensors

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“…On the one hand, the directional mmWave channel is low-cost, but may suffer from poor reliability due to difficult propagation characteristics. On the other hand, the omni-directional microwave channel is more reliable at the expense of additional hardware and energy consumption[42].6 VOLUME 4, 2016…”

mentioning

confidence: 99%

One-Bit Feedback Exponential Learning for Beam Alignment in Mobile mmWave

2020

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Efficient beam alignment in wireless networks capable of supporting device mobility is currently one of the major challenges in mmWave communications. In this context, we formulate the beam-alignment problem via the adversarial multi-armed bandit (MAB) framework, which copes with arbitrary network dynamics including non-stationary or adversarial components. Building on the well known exponential weights algorithm (EXP3) and by exploiting the structure and sparsity of the mmWave channel, we propose a modified (MEXP3) policy that requires solely one-bit of feedback information (reducing the amount of exchanged data during the beam-alignment process). Our MEXP3 comes with optimal theoretical guarantees in terms of asymptotic regret. Moreover, for finite horizons, our regret upper-bound is tighter than that of the original EXP3 suggesting better performance in practice. We then introduce an additional modification that accounts for the temporal correlation between successive beams and propose another beam-alignment policy. Our numerical results demonstrate that our beam-alignment policies outperform existing ones with respect to the regret but also to the outage, throughput and delay in typical mobile mmWave settings.

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