Resource Management in LTE-U Systems: Past, Present, and Future

Li, Rui; Chen, Qimei; Yu, Guanding; Li, Geoffrey Ye; Ding, Zhi

doi:10.1109/ojvt.2019.2949020

Cited by 18 publications

(15 citation statements)

References 85 publications

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“…Two types of unlicensed LTE can be distinguished: LTE-Unlicensed (LTE-U), developed by LTE-U Forum and used in USA, Korea and India, and LTE-Licensed Assisted Access (LTE-LAA), developed by 3GPP and used in Japan and Europe [ 166 ]. The use of unlicensed LTE is envisaged to extend to essential 5G applications such as the enhanced mobile broadband (eMBB), massive machine-type communication (mMTC), and URLLC [ 167 ]. LTE-U and LTE-LAA may cause severe interference to the technologies operating on the unlicensed bands, especially WiFi.…”

Section: Cognitive Radio Application For 5g and Beyond 5gmentioning

confidence: 99%

Spectrum Sensing for Cognitive Radio: Recent Advances and Future Challenge

Nasser

Hassan

Chaaya

et al. 2021

Sensors

125

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Spectrum Sensing (SS) plays an essential role in Cognitive Radio (CR) networks to diagnose the availability of frequency resources. In this paper, we aim to provide an in-depth survey on the most recent advances in SS for CR. We start by explaining the Half-Duplex and Full-Duplex paradigms, while focusing on the operating modes in the Full-Duplex. A thorough discussion of Full-Duplex operation modes from collision and throughput points of view is presented. Then, we discuss the use of learning techniques in enhancing the SS performance considering both local and cooperative sensing scenarios. In addition, recent SS applications for CR-based Internet of Things and Wireless Sensors Networks are presented. Furthermore, we survey the latest achievements in Spectrum Sensing as a Service, where the Internet of Things or the Wireless Sensor Networks may play an essential role in providing the CR network with the SS data. We also discuss the utilisation of CR for the 5th Generation and Beyond and its possible role in frequency allocation. With the advancement of telecommunication technologies, additional features should be ensured by SS such as the ability to explore different available channels and free space for transmission. As such, we highlight important future research axes and challenging points in SS for CR based on the current and emerging techniques in wireless communications.

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Section: Cognitive Radio Application For 5g and Beyond 5gmentioning

confidence: 99%

Spectrum Sensing for Cognitive Radio: Recent Advances and Future Challenge

Nasser

Hassan

Chaaya

et al. 2021

Sensors

125

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“…4 below. 2 The capability of RSMA to split the message into a common part and a private part provides the flexibility to partially decode interference and partially treat interference as noise. This enables a soft bridging of two extremes, namely fully decoding interference (as in NOMA), and treating all interference as noise (as in SDMA), hence providing room for data rates and QoS improvements, besides complexity reduction.…”

Section: A Backgroundmentioning

confidence: 99%

Multiple Access in Aerial Networks: From Orthogonal and Non-Orthogonal to Rate-Splitting

Jaafar

Naser

Muhaidat

et al. 2020

IEEE Open J. Veh. Technol.

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Recently, interest on the utilization of unmanned aerial vehicles (UAVs) has aroused. Specifically, UAVs can be used in cellular networks as aerial users for delivery, surveillance, rescue search, or as an aerial base station (aBS) for communication with ground users in remote uncovered areas or in dense environments requiring prompt high capacity. Aiming to satisfy the high requirements of wireless aerial networks, several multiple access techniques have been investigated. In particular, space-division multiple access (SDMA) and power-domain non-orthogonal multiple access (NOMA) present promising multiplexing gains for aerial downlink and uplink. Nevertheless, these gains are limited as they depend on the conditions of the environment. Hence, a generalized scheme has been recently proposed, called rate-splitting multiple access (RSMA), which is capable of achieving better spectral efficiency gains compared to SDMA and NOMA. In this paper, we present a comprehensive survey of key multiple access technologies adopted for aerial networks, where aBSs are deployed to serve ground users. Since there have been only sporadic results reported on the use of RSMA in aerial systems, we aim to extend the discussion on this topic by modelling and analyzing the weighted sum-rate performance of a two-user network served by an RSMA-based aBS. Finally, related open issues and future research directions are exposed. Index Terms-Orthogonal multiple access (OMA), non-orthogonal multiple access (NOMA), rate-splitting multiple access (RSMA), unmanned aerial vehicle (UAV), survey. I. INTRODUCTION D UE to the unprecedented growth of mobile data traffic and stringent quality-of-service (QoS) requirements, recent research efforts have focused on several key enabling technologies for 5G networks and beyond [1], such as millimeter waves (mmWave), terahertz (THz) communications, multiple-input multiple-output (MIMO), massive MIMO, multiple access techniques, relaying, cognitive radio, and unmanned aerial networks [2]. In particular, unmanned aerial vehicles (UAVs) have demonstrated great potential in enabling new applications. For instance, UAVs can be used for aerial security inspection, traffic monitoring, smart agriculture, aerial delivery, etc. [3], [4] (and references therein). Furthermore, UAVs can be deployed as aerial base stations (aBSs) to provide wireless access to ground and aerial devices/users, in several scenarios such as temporary events, disasters when a terrestrial cellular network is not fully operational, and congestion due to unpredictable traffic surges, as well as aerial devices/users (e.g., cargo drones) [5], [6].

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“…Due to the benefits brought by unlicensed spectrum bands, operating the UAV communications in unlicensed spectrum bands is regarded as a promising way to provide a broader coverage while enhancing the spectrum usage efficiency for future wireless communication networks. Some works have investigated the UAV communications operating in the unlicensed spectrum band [11]- [15] recently. More specifically, the authors in [11] comprehensively reviewed the state-of-the-art resource management scenarios in LTE-Unlicensed (LTE-U) systems including the UAV systems.…”

Section: Introductionmentioning

confidence: 99%

“…Some works have investigated the UAV communications operating in the unlicensed spectrum band [11]- [15] recently. More specifically, the authors in [11] comprehensively reviewed the state-of-the-art resource management scenarios in LTE-Unlicensed (LTE-U) systems including the UAV systems. A game-theoretic framework for load balancing between LTE-U UAVs and the ground access points was developed in [12], where a regret-based learning dynamic duty cycle selection method for configuring the transmission gaps in LTE-U UAVs to ensure users' throughput was further proposed.…”

Section: Introductionmentioning

confidence: 99%

Coverage Performance of the Terrestrial-UAV HetNet Utilizing Licensed and Unlicensed Spectrum Bands

Jiang

Fei

Guo³

et al. 2021

IEEE Access

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To address the spectrum shortage issue, the technology of sharing the unlicensed spectrum resource has been developed for terrestrial wireless networks, e.g., the New Radio Unlicensed technology. Recently, due to the limitation of terrestrial wireless networks, unmanned aerial vehicles (UAVs) have been proposed to improve the coverage for users. Hence, the combination of the unlicensed spectrum band technology and the UAV communication can fulfill the requirements of offering 3-D coverage while improving the spectrum efficiency. In this paper, we investigate the terrestrial and UAV heterogeneous network (HetNet), where both the terrestrial base stations and aerial base stations implement the random mode selection procedure to use either the licensed or unlicensed spectrum band. Based on stochastic geometry, we develop a tractable mathematical framework to characterize the medium access probability and the overall coverage probability. The accuracy of the analytical evaluations is validated by simulations. Our results show that the incorporation of the licensed and unlicensed spectrum band by using the mode selection scheme can improve the overall network performance, compared with the performance of the 3-D HetNet operating in the licensed spectrum band only. Furthermore, mode selection of the aerial network plays the dominant role in improving the overall coverage probability, and the mode selection probability (i.e., the probability of switching to use the unlicensed spectrum band) has to be selected carefully to maximize the overall coverage probability.INDEX TERMS unlicensed spectrum, unmanned aerial vehicle, HetNet, Poisson point process, coverage performance.

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Resource Management in LTE-U Systems: Past, Present, and Future

Cited by 18 publications

References 85 publications

Spectrum Sensing for Cognitive Radio: Recent Advances and Future Challenge

Spectrum Sensing for Cognitive Radio: Recent Advances and Future Challenge

Multiple Access in Aerial Networks: From Orthogonal and Non-Orthogonal to Rate-Splitting

Coverage Performance of the Terrestrial-UAV HetNet Utilizing Licensed and Unlicensed Spectrum Bands

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