Prolonging User Battery Lifetime Using Green Communication in Spectrum Sharing Networks

Gandotra, Pimmy; Jha, Rakesh Kumar; Jain, Sanjeev

doi:10.1109/lcomm.2018.2818679

Cited by 18 publications

(6 citation statements)

References 11 publications

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“…For the overlay model, the same authors proposed two algorithms but with trade-off between complexity and optimality claims. An SS approach that conforms with green communication and uses the zonal approach was presented by [106] for primary transmitter (PT)-forming D2D communication links with multiple primary receivers (PRs). The method has a low energy consumption at the PT with optimised transmission power within a zone that adequately meets the target rates demanded by PRs.…”

Section: ) Spectrum Access Methodsmentioning

confidence: 99%

5G Technology: Towards Dynamic Spectrum Sharing Using Cognitive Radio Networks

et al. 2020

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The explosive popularity of small-cell and Internet of Everything devices has tremendously increased traffic loads. This increase has revolutionised the current network into 5G technology, which demands increased capacity, high data rate and ultra-low latency. Two of the research focus areas for meeting these demands are exploring the spectrum resource and maximising the utilisation of its bands. However, the scarcity of the spectrum resource creates a serious challenge in achieving an efficient management scheme. This work aims to conduct an in-depth survey on recent spectrum sharing (SS) technologies towards 5G development and recent 5G-enabling technologies. SS techniques are classified, and SS surveys and related studies on SS techniques relevant to 5G networks are reviewed. The surveys and studies are categorised into one of the main SS techniques on the basis of network architecture, spectrum allocation behaviour and spectrum access method. Moreover, a detailed survey on cognitive radio (CR) technology in SS related to 5G implementation is performed. For a complete survey, discussions are conducted on the issues and challenges in the current implementation of SS and CR, and the means to support efficient 5G advancement are provided.

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Section: ) Spectrum Access Methodsmentioning

confidence: 99%

5G Technology: Towards Dynamic Spectrum Sharing Using Cognitive Radio Networks

et al. 2020

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“…In the overall network design, PTN can replace the optical fiber Ethernet ring network used by most hydropower stations in terms of networking and services provided, and the network transmission bandwidth is up to 100G, 10 times that of 10 gigabit optical fiber Ethernet [2][3], providing guarantee for the access of 5G and WIFI6 base stations.…”

Section: Ptn Networkmentioning

confidence: 99%

Design and Application of Integrated Dispatching Communication Network for Intelligent Hydropower Stations

Zhou¹,

Gong²,

Yang³

2022

HSET

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5G has changed the society. Its rich vertical industry applications have changed the traditional operation and maintenance mode of hydropower stations, created a customized "industry private network" for hydropower stations, met the needs of power station intelligence, further improved the hydropower station's ability to independently control its own business and operating efficiency, and created a new intelligent, safe and efficient power station.

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“…In this paper, the energy efficiency of the CR module is defined as the ratio of the SE of the UAV system to the average power consumed by the CR module [30], which is given by…”

Section: A Overlay Modementioning

confidence: 99%

SE and EE Optimization for Cognitive UAV Network Based on Location Information

Huang

et al. 2019

IEEE Access

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Unmanned Aerial Vehicle (UAV) aided communication has the potential to provide on-demand wireless services and improve the outdoor link throughput. Applications for UAVs are rapidly growing with the development of Internet of Things. Because of limited battery energy, the UAVs need time-limited spectrum access to complete data transmission. Hence there are two challenges for the UAV-based communication: 1) Spectrum-efficient design; 2) Energy-efficient design. In this paper, we investigate the optimization of spectrum efficiency (SE) and energy efficiency (EE) for cognitive UAV network based on location information. Because of high mobility, the cognitive radio (CR) based UAVs operate on different frequency bands that vary with time and space. Thus, one spectrum band that is available in one region may not be necessarily available in another region. Based on location information of the primary transmitter and the UAV, we propose a hybrid mode in which the sensing performance and UAV's transmit power can be adjusted simultaneously to satisfy the outage constraint of the primary user. The multi-objective optimization theory is used to solve the tradeoff between SE and EE. The UAV's transmit power, sensing time and sensing threshold are optimized jointly to solve the tradeoff problem. To further improve the SE and EE performance, we propose a multi-frame combined sensing scheme, in which multiple frames are bundled together. Simulation results are provided to show the SE-EE tradeoff design, to validate the effectiveness of the proposed hybrid mode, and to show the advantages of the multi-frame combined sensing scheme in EE performance. INDEX TERMS UAV, spectrum efficiency, energy efficiency, cognitive radio, multi-frame combined sensing. I. INTRODUCTION Recently, Unmanned Aerial Vehicles (UAVs) have attracted much attention due to their wide use in many applications. Examples of the applications include: military operations, fire control, tracking and surveillance, wilderness search and many others [1]. The UAVs are equipped with cameras, sensors and communication equipment, which can be used for reconnoitering and monitoring purposes. With the advantages of high maneuverability and flexibility, the UAVs are widely The associate editor coordinating the review of this manuscript and approving it for publication was Shihao Yan. used to assist the wireless devices on the ground [2]. UAV plays an important role in high-speed 5G wireless network. The network connection can be expanded from ground to air and various services can be provided for hot spots in different locations. Compared with terrestrial communication, UAV-assisted communication has the advantages of rapid deployment, high mobility and low operating costs [3]. Unlike traditional cellular networks, the UAVs can be used as mobile base stations such that the wireless services can be provided with no infrastructure constraint [4]. The UAV-assisted wireless network has attracted much attention by the academia and industry since it can alleviate urgent

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Prolonging User Battery Lifetime Using Green Communication in Spectrum Sharing Networks

Cited by 18 publications

References 11 publications

5G Technology: Towards Dynamic Spectrum Sharing Using Cognitive Radio Networks

5G Technology: Towards Dynamic Spectrum Sharing Using Cognitive Radio Networks

Design and Application of Integrated Dispatching Communication Network for Intelligent Hydropower Stations

SE and EE Optimization for Cognitive UAV Network Based on Location Information

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