The Road Towards 6G: A Comprehensive Survey

Jiang, Wei; Han, Baohui; Habibi, Mohammad Asif; Schotten, Hans D.

doi:10.36227/techrxiv.13382765.v1

“…Then, the P D is used as a detection accuracy characteristic for the relevant environmental parameters (such as a range of SNR levels). 4 The Bayesian approach offers an alternative framework for threshold derivation. It relies on the assuming the availability of information for the PU's traffic pattern which is described via the a priori probability for the PU signal's absence P 0 = p(H 0 ) (or its presence p(H 1 ) = 1 − p(H 0 ), respectively).…”

Section: Performance Metrics For Spectrum Sensingmentioning

confidence: 99%

“…It has been recognized that upcoming and future communication technologies for beyond 5G will include diverse kinds of use cases and end-user devices (EUDs) to accommodate for novel applications which cover a much broader range of human enterprises, and are characterized by a variety of throughput and latency requirements [4], [121]- [123]. They are anticipated to substantially influence people's recreational activities, technological development, industry, transportation, health-care, disaster prevention and response, information exchange, remote control for decades to come [121], [122].…”

Section: Spectrum Sensing-based Cognitive Radio For 6g Wireless Communicationsmentioning

confidence: 99%

“…Throughout this time, the benefits of extending current networks and introducing new ones by applying the concepts of transmission parameters adaptation, dynamic spectrum access (DSA) and coordinated spectrum sharing, have been continuously highlighted [1]- [3]. Looking to the upcoming integrated space and terrestrial networks (ISTN, as conceptualized in [4]) for 6G, CR has been envisioned to mature into the 6G Mitola radio, and be an important factor for facilitating the coexistence of a wide range of wireless communication systems via ''self-regulating societies of mobile radios'' [5].…”

Section: Introductionmentioning

confidence: 99%

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Probabilistic Spectrum Sensing Based on Feature Detection for 6G Cognitive Radio: A Survey

Ivanov

¹

,

Tonchev

²

,

Poulkov

³

et al. 2021

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With the advent of Sixth Generation (6G) telecommunication systems already envisioned, increased effort is made to further develop current communication technologies, so they can be incorporated together with the novel ones, to deliver uninterrupted and satisfactory service for any application in every location on the ground, underwater, in the air, or in space. One such technology is Cognitive Radio (CR) which has received much attention due to its potential for increase of utilization, especially in the bands below 6 GHz. The main enabler for CR is spectrum sensing because it provides the opportunity for dynamic assessment of the radio environment to identify unused channels. This functionality has been the object of many research works for that very reason. In spite of this, the provision of accurate and fast spectrum characterization in time, frequency and space has proven to be a non-trivial task. This paper presents a detailed review of probabilistic spectrum sensing methods classified by the feature they extract from the received signal samples, to provide accurate detection of the primary user (PU) signal. The main design characteristics (such as probability of detection, robustness to noise and fading, signal/noise model assumptions, and computational complexity), strengths and weaknesses for each type are also summarized. Based on current concepts for 6G networks and applications, a framework for human-centric cognition-based wireless access is presented, which specifies the role of spectrum sensing-based CR in future networks.INDEX TERMS 6G, cognitive radio, feature detection, human-centric wireless access, Internet of Things, probabilistic spectrum sensing, wireless communications.

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“…On the other hand, owing to the ultra-broad bandwidth at the terahertz (THz) frequency range (0.1-10 THz), THz transmission has been acknowledged as a promising technology capable of catering an explosive growth of user demand of higher mobile traffic for future wireless systems. However, THz links incur severe path loss and high susceptibility to environmental blockage, and molecular absorption [1], [5], [30], which limit signal propagation distance and coverage range. To overcome the hindrances, one possible solution might be to explore UAVaided communications in THz links.…”

Section: Introductionmentioning

confidence: 99%

Terahertz Meets Untrusted UAV-Relaying: Minimum Secrecy Energy Efficiency Maximization via Trajectory and Communication Co-design

Mamaghani¹,

Hong²

2022

Preprint

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Unmanned aerial vehicles (UAVs) and Terahertz (THz) technology are envisioned to play paramount roles in next-generation wireless communications. Hence, this paper presents a novel secure UAV-assisted mobile relaying system operating at THz bands for data acquisition from multiple ground user equipments towards a destination. We assume that the UAV-mounted relay may act, besides providing relaying services, as a potential adversary called the untrusted UAV relay. To safeguard end-to-end communications, we present a secure two-phase transmission strategy with cooperative jamming. Then, we formulate an optimization problem in terms of a new measure – secrecy energy efficiency (SEE), defined as the ratio of achievable average secrecy rate to average system power consumption, which enables us to obtain the best possible security level while taking UAV's inherent flight power limitation into account. This optimization problem leads to a joint design of key system parameters, including UAV's trajectory and velocity, communication scheduling, and power allocations. Since the formulated problem is a mixed-integer nonconvex optimization and computationally intractable, we propose alternative algorithms to solve it efficiently via greedy/sequential block coordinated descent, successive convex approximation, and non-linear fractional programming techniques. Numerical results demonstrate significant SEE performance improvement of our designs when compared to other known benchmarks.

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“…T HE unmanned aerial vehicle (UAV) has recently been recognised as one of the major technological breakthroughs to be pervasively applied in 5G-and-beyond wireless communication networks supporting massive machine-type communications, internet of things (IoT), and artificial intelligent (AI) empowered communications [1]- [3]. Thanks to the unique characteristics of agility, on-demand swift deployment, versatility, and channel superiority amongst the other potentialities, UAV-aided wireless communications have recently attracted a great deal of research [4]- [7].…”

Section: Introductionmentioning

confidence: 99%

THz Transmission meets Untrusted UAV-Relaying; Trajectory and Communication Co-design for Secrecy Energy Efficiency Maximization

Mamaghani¹,

Hong²

2021

Preprint

View full text Add to dashboard Cite

Unmanned aerial vehicles (UAVs) and Terahertz (THz) technology are envisioned to play paramount roles in next-generation wireless communications. Hence, this paper presents a novel secure UAV-assisted mobile relaying system operating at THz bands for data acquisition from multiple ground user equipments towards a destination. We assume that the UAV-mounted relay may act, besides providing relaying services, as a potential adversary called the untrusted UAV relay. To safeguard end-to-end communications, we present a secure two-phase transmission strategy with cooperative jamming. Then, we formulate an optimization problem in terms of a new measure – secrecy energy efficiency (SEE), defined as the ratio of achievable average secrecy rate to average system power consumption, which enables us to obtain the best possible security level while taking UAV's inherent flight power limitation into account. This optimization problem leads to a joint design of key system parameters, including UAV's trajectory and velocity, communication scheduling, and power allocations. Since the formulated problem is a mixed-integer nonconvex optimization and computationally intractable, we propose alternative algorithms to solve it efficiently via greedy/sequential block coordinated descent, successive convex approximation, and non-linear fractional programming techniques. Numerical results demonstrate significant SEE performance improvement of our designs when compared to other known benchmarks.

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The Road Towards 6G: A Comprehensive Survey

Cited by 101 publications

References 117 publications

Probabilistic Spectrum Sensing Based on Feature Detection for 6G Cognitive Radio: A Survey

Probabilistic Spectrum Sensing Based on Feature Detection for 6G Cognitive Radio: A Survey

Terahertz Meets Untrusted UAV-Relaying: Minimum Secrecy Energy Efficiency Maximization via Trajectory and Communication Co-design

THz Transmission meets Untrusted UAV-Relaying; Trajectory and Communication Co-design for Secrecy Energy Efficiency Maximization

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