Outage reduction with joint scheduling and power allocation in 5G mmWave cellular networks

Yao, Chun-Han; Chen, Yin-Yi; Sahoo, Biswa P. S.; Wei, Hung‐Yu

doi:10.1109/pimrc.2017.8292649

Cited by 13 publications

(11 citation statements)

References 11 publications

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“…For instance, if the mmWave link is used for an application that requires high values of SNR, the value of ξ should be high as well. The outage probability is an important performance metric in communications systems in which an average performance is less relevant than guaranteeing a minimum instantaneous quality of service [34], [35]. In 5G for instance, ultra-reliable low latency applications depend crucially on instantaneous reliability, which can be measured by the outage probability [36].…”

Section: Received Signalmentioning

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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Section: Received Signalmentioning

confidence: 99%

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

2020

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“…However, both these works [12], [17] are limited given the reliable communications over mmWave networks. The authors in [21] proposed an integrated framework is to reduce the outage probability while maintaining seamless service continuity by serving UE with multiplebeams simultaneously. While the proposed approach in [21], can provide a certain degree of improvement in throughput, but beamforming association with UE is challenging.…”

Section: Related Workmentioning

confidence: 99%

SDN - Architectural Enabler for Reliable Communication Over Millimeter-Wave 5G Networks

Sahoo

Weng

Wei

2018

2018 IEEE Globecom Workshops (GC Wkshps)

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Millimeter-wave (mmWave) frequency bands offer a new frontier for next-generation wireless networks, popularly known as 5G, to enable multi-gigabit communication; however, the availability and reliability of mmWave signals are significantly limited due to its unfavorable propagation characteristics. Thus, mmWave networks rely on directional narrow-beam transmissions to overcome severe path-loss. To mitigate the impact of transmission-reception directionality and provide uninterrupted network services, ensuring the availability of mmWave transmission links is important. In this paper, we proposed a new flexible network architecture to provide efficient resource coordination among serving basestations during user mobility. The key idea of this holistic architecture is to exploit the software-defined networking (SDN) technology with mmWave communication to provide a flexible and resilient network architecture. Besides, this paper presents an efficient and seamless uncoordinated network operation to support reliable communication in highly-dynamic environments characterized by high density and mobility of wireless devices. To warrant high-reliability and guard against the potential radio link failure, we introduce a new transmission framework to ensure that there is at least one basestation is connected to the UE at all times. We validate the proposed transmission scheme through simulations.

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“…Solutions for some of those issues were also investigated. For example, to reduce the outage probability during user mobility and maintain uninterrupted service continuity in the mmWave platform, the author in [12] proposed a joint scheduling and power allocation framework for 5G network. Thus, to achieve this goal, the control signaling, efficient allocation of communication/computation resources are the key enabler.…”

Section: A Embbmentioning

confidence: 99%

“…4. With a similar scenario, [12] proposed an integrated framework is to reduce the outage probability while maintaining seamless service continuity by serving UE with multiple-beam simultaneously. In mmWave high mobility scenarios and in ultradense deployments, it is highly likely, UE will undergo frequent handover which will impact both the reliability and latency requirements due to handover interruption time and possible radio link failure (RFL).…”

Section: B Urllcmentioning

confidence: 99%

Enabling Millimeter-Wave 5G Networks for Massive IoT Applications

Sahoo¹,

Chou²,

Weng³

et al. 2018

Preprint

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Internet of Things is one of the most promising technology of the fifth-generation (5G) mobile broadband systems. Data-driven wireless services of 5G systems require unprecedented capacity and availability. The millimeter-wave based wireless communication technologies are expected to play an essential role in future 5G systems. In this article, we describe the three broad categories of fifth-generation services, viz., enhanced mobile broadband, ultrareliable and low-latency communications, and massive machine-type communications. Furthermore, we introduce the potential issues of consumer devices under a unifying 5G framework. We provide the state-of-the-art overview with an emphasis on technical challenges when applying millimeter-wave (mmWave) technology to support the massive Internet of Things applications. Our discussion highlights the challenges and solutions, particularly for communication/computation requirements in consumer devices under the millimeter-wave 5G framework.

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Outage reduction with joint scheduling and power allocation in 5G mmWave cellular networks

Cited by 13 publications

References 11 publications

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

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

SDN - Architectural Enabler for Reliable Communication Over Millimeter-Wave 5G Networks

Enabling Millimeter-Wave 5G Networks for Massive IoT Applications

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