检索结果-内蒙古大学图书馆

power control algorithm to Improve Coverage Probability in Heterogeneous Networks

WIRELESS PERSONAL COMMUNICATIONS 2021年第3期121卷 1821-1833页

作者： Trankatwar, Sachin Wali, Prashant Birla Inst Technol & Sci Pilani Hyderabad India

Heterogeneous networks offer a high data rate, increase capacity, enhance quality-of-experience, reduce latency, and decrease power consumption. Despite the advantages, there are several challenges in heterogeneous networks;among them, interference is one of the most significant challenges. Due to densification in a heterogeneous network, interference increases, and consequently, coverage probability decreases. We propose an efficient and faster power control algorithm in the downlink to enhance the coverage probability of the K-tier heterogeneous network. In a system model, we consider the Poisson point process to model base station distribution, and Voronoi tessellation provides coverage areas of the network. We present simulation results to show that the proposed power control algorithm improves the coverage probability as compared to the existing power control algorithm. In comparison with the existing power control algorithm, at - 5 dB target signal-to-interference ratio of macro BS, coverage probability increases by 5.95% and 8.54% for the two-tier and three-tier heterogeneous network, respectively. Furthermore, the convergence rate of the proposed power control algorithm is faster compared to the existing power control algorithm.

关键词： Heterogeneous networks Small cell Coverage probability power control algorithm Poisson point process

来源：评论

学校读者我要写书评

暂无评论

A New GNSS Spoofing Signal power control algorithm for Receiver Sensors in Acquisition Phase and Subsequent control

引用

SENSORS 2022年第17期22卷 6588-6588页

作者： Gao, Yangjun Li, Guangyun State Key Lab Geoinformat Engn Xian 710054 Peoples R China PLA Strateg Support Force Informat Engn Univ Coll Geospatial Informat Zhengzhou 450001 Peoples R China

Satellite navigation spoofing technology has become a hotspot of interference technology research because of its significant threat and high concealment. In a spoofing scenario, suppressive interference is typically used to ensure that the target receiver sensor is in the unlocked and reacquisition state, and then spoofing is implemented. This method has a high feasibility, and the power of the spoofing signal affects the concealment and efficiency of spoofing. Currently, there is limited research involving the GNSS spoofing signal power control. Moreover, there is no systematic complete power control scheme, most of which is limited to qualitative or simulation, and the actual application effect is still unclear. Therefore, a new GNSS spoofing signal power control algorithm under the power constraints of the receiver sensor in the acquisition phase and the subsequent control is proposed. The experimental platform is designed to prove that compared with the conventional spoofing signal high power control algorithm, the new GNSS spoofing signal power control algorithm shortens Doppler frequency fluctuation time by 72.2% and reduces the range by 75.9%. The carrier-to-noise ratio of the received signal is less than the threshold of the receiver sensor, and the range of three-dimensional coordinates of Earth-Centered, Earth-Fixed (ECEF) is significantly reduced during the spoofing signal taking over receiver sensor, this shows that the new design of the GNSS spoofing signal power control algorithm can make spoofing behavior more hidden, and it will make it more difficult for the target receiver sensor to detect spoofing behavior. The designed algorithm can take over the receiver sensor stealthily with the help of suppressing interference and then pull the bias positioning results, which has good feasibility and effectiveness.

关键词： GNSS spoofing receiver sensors spoofing signal power control algorithm signal acquisition

来源：评论

学校读者我要写书评

暂无评论

Cognitive hierarchy thinking based behavioral game model for IoT power control algorithm

引用

COMPUTER NETWORKS 2016年第Dec.9期110卷 79-90页

作者： Kim, Sungwook Sogang Univ Dept Comp Sci 35 Baekbeom Ro Sinsu Dong Seoul 121742 South Korea

The Internet of Things (IoT) describes a future world of interconnected physical objects, with several applications in the areas of smart environments. To implement the IoT concept, the research in the areas of power controlled circuits, embedded systems design, network protocols and control theory should be required. With the much advancement in these areas, the realization of IoT is becoming increasingly probable. In this paper, we propose a novel adaptive power control scheme for IoT systems. Based on the cognitive hierarchy thinking mechanism, our proposed scheme is designed as a new behavioral game model to adaptively control the power level. To effectively solve the power control problem in IoT systems, game theory is well-suited and an effective tool. The experimental result illustrates that our game-based approach can get an effective transmission power, which can make the communication rate maximal. Under dynamic IoT system environments, it is highly desirable property. (C) 2016 Elsevier B.V. All rights reserved.

关键词： Behavioral game Cognitive hierarchy thinking model Internet of Things power control algorithm Mutually consistent behavior

来源：评论

学校读者我要写书评

暂无评论

A Biologically-Inspired power control algorithm for Energy-Efficient Cellular Networks

引用

ENERGIES 2016年第3期9卷 161页

作者： Choi, Hyun-Ho Lee, Jung-Ryun Hankyong Natl Univ Inst Informat Technol Convergence Dept Elect Elect & Control Engn 327 Chungang Ro Anseong 17579 South Korea Chung Ang Univ Sch Elect Engn 84 Heukseok Ro Seoul 06974 South Korea

Most of the energy used to operate a cellular network is consumed by a base station (BS), and reducing the transmission power of a BS can therefore afford a substantial reduction in the amount of energy used in a network. In this paper, we propose a distributed transmit power control (TPC) algorithm inspired by bird flocking behavior as a means of improving the energy efficiency of a cellular network. Just as each bird in a flock attempts to match its velocity with the average velocity of adjacent birds, in the proposed algorithm, each mobile station (MS) in a cell matches its rate with the average rate of the co-channel MSs in adjacent cells by controlling the transmit power of its serving BS. We verify that this bio-inspired TPC algorithm using a local rate-average process achieves an exponential convergence and maximizes the minimum rate of the MSs concerned. Simulation results show that the proposed TPC algorithm follows the same convergence properties as the flocking algorithm and also effectively reduces the power consumption at the BSs while maintaining a low outage probability as the inter-cell interference increases;in so doing, it significantly improves the energy efficiency of a cellular network.

关键词： green base station flocking model energy efficiency power control algorithm bio-inspired algorithm energy-efficient cellular network

来源：评论

学校读者我要写书评

暂无评论

System Level power control algorithm in Wireless power Transmission for Reducing EMF

System Level Power Control Algorithm in Wireless Power Trans...

引用

IEEE Wireless power Transfer Conference (WPTC)

作者： Kim, Seong-Min Cho, I. K. Moon, J. I. Yoon, J. H. Byun, W. J. Choi, H. D. Elect & Telecommun Res Inst Radio & Broadcasting Res Div Daejeon South Korea

ISBN: (纸本)9781479929238

In this paper, the system level power control algorithm in wireless power transmission for reducing EMF is presented. To design the power control algorithm, EM simulation is carried out using HFSS EM simulator. Depending on the simulation results, the power control zone is set. For the system level power control, the communication between the transmitter and the receiver is adopted by FSK at 433MHz. The magnetic resonance method is used for wireless power transmission system to implement the power control algorithm. The system can transmit up to 100W is designed and implemented for a docent robot that consumes 60W in order to verify the effectiveness of the power control algorithm.

关键词： Wireless power EMF Magnetic Resonance power control algorithm

来源：评论

学校读者我要写书评

暂无评论

Transmit power control Game With a Sum power Constraint in Cell-Free Massive MIMO Downlink

引用

IEEE WIRELESS COMMUNICATIONS LETTERS 2022年第3期11卷 632-635页

作者： Myung, Jungho Kim, Keunyoung Ko, Young-Jo Elect & Telecommun Res Inst Mobile Commun Res Div Daejeon 34129 South Korea

We propose a transmit power control game, where we assume that distributed access points are rational, i.e., they will determine the transmit power to maximize their own utility functions. The utility function of each AP is defined as the estimated downlink sum-rate minus a linear price function of the transmit power. The existence of the Nash-equilibrium of the proposed game is analyzed. In order to find the optimal price value for efficient transmit power allocation, an iterative search algorithm is also proposed. Simulation results show that the average spectral efficiency of the proposed scheme is better than that of both the equal transmit power allocation and waterfilling-based power allocation.

关键词： Resource management Games power control Massive MIMO Downlink Central Processing Unit Array signal processing Cell-free massive MIMO transmit power control utility function power control algorithm

来源：评论

学校读者我要写书评

暂无评论

Multi-population coevolutionary dynamic multi-objective particle swarm optimization algorithm for power control based on improved crowding distance archive management in CRNs

引用

COMPUTER COMMUNICATIONS 2019年 145卷 146-160页

作者： Chen, Lingling Li, Qi Zhao, Xiaohui Fang, Zhiyi Peng, Furong Wang, Jiaqi Jilin Inst Chem Technol Coll Informat & Control Engn Jilin 130022 Jilin Peoples R China Jilin Univ Sch Comp Sci Changchun 130012 Jilin Peoples R China Jilin Univ Coll Commun Engn Key Lab Informat Sci Changchun 130012 Jilin Peoples R China

This paper aims to resolve the problem of power control in underlay CRNs better. Firstly, a multi-objective optimizatron problem of maximizing the throughput of PUs and SUs is proposed, which satisfied the constraints of PU' interference temperature, the normal communication quality of all users and the transmission power limitation of users. Moreover, according to the theory of penalty function and particle swarm optimization (PSO), an improved multi-objective particle swarm optimization (IMOPSO) algorithm is proposed based on the archives management, which can achieve the maximum throughput of PUs and SUs as well as the minimum penalty constraints term. On this basis, in order to improve the boundary searching ability and diversity of the power control scheme, an improved coevolutionary multi-objective particle swarm optimization (ICMOPSO) in multiple population is proposed based on crowding distance archival management. Further, in order to adapt to the dynamic commtmication environment well, three different dynamic response schemes are presented correspondingly to cope with the instability of three types of environment. In the end, simulation results show that ICMOPSO and IMOPSO algorithm based on the archives management can obtain the maximum throughput compared with the conventional PSO. Through comparing with the performances in IMOPSO and ICMOPSO, it can be concluded that ICMOPSO algorithm has good abilities of stability, diversity and local search ability, which can provide more throughput optimal allocation schemes for decision makers and ensure the quality of customer service. On the basis of ICMOPSO algorithm, dynamic response strategy is better than the static response strategy at computational cost compared with the average number of iterations. And it can cope with the dimensional change of decision space in dynamic communication environment.

关键词： Cognitive radio networks Underlay power control algorithm Dynamic communication environment The improved coevolutionary multi-objective particle swarm algorithm

来源：评论

学校读者我要写书评

暂无评论

Hybrid Input power Balancing Method of Modular power Converters for High Efficiency, High Reliability, and Enhanced Dynamic Performance

引用

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2022年第5期69卷 5132-5141页

作者： Kim, Mina Park, Hwa-Pyeong Jung, Jee-Hoon Ulsan Natl Inst Sci & Technol Sch Elect Engn Ulsan 44919 South Korea Korea Inst Energy Res KIER Energy ICT Convergence Res Ctr Daejeon 34129 South Korea

Input parallel output parallel (IPOP) modular power converters have been used to supply high power and high current in various applications. In general, the IPOP modular power converter uses an output power balancing method to equally distribute the amount of output power to each converter. In this article, a hybrid input power balancing method is proposed to obtain high power conversion efficiency, high reliability, and enhanced dynamic performance of the IPOP modular power converters. In the steady state, the proposed method controls input power to be balanced in each converter. A power loss distribution capability of the input power balancing method can improve the entire power conversion efficiency and can reduce the overall operating temperature of the IPOP converters, which can increase lifetime and can improve reliability. During the transient operation, the proposed method makes the IPOP converters under an interleaving mode to tightly regulate the output voltage and to obtain fast dynamic performance. Experimental results with 200-W prototype modular synchronous buck converters verify the performance improvements of the proposed method such as high power conversion efficiency, the power loss distribution capability in the steady-state operation, and the enhanced dynamic performance in the transient operation.

关键词： power generation Hybrid power systems power conversion Voltage control Reliability Transient analysis Stress Modular converter parallel operation power control algorithm

来源：评论

学校读者我要写书评

暂无评论

Reverse-biform game based resource sharing scheme for wireless body area networks

引用

INTERNATIONAL JOURNAL OF AD HOC AND UBIQUITOUS COMPUTING 2019年第4期31卷 219-229页

作者： Kim, Sungwook Sogang Univ Dept Comp Sci 35 Baekbeom Ro Sinsu Dong Seoul 121742 South Korea

Current advances in wireless sensor technologies have contributed to the development of wireless body area network (WBAN). Due to specific features and reliability requirements in WBAN, a number of new challenges have been introduced to design novel WBAN protocols. In order to cope with these challenges, game theoretic approach can allow WBANs to improve their performance while increasing their flexibility and adaptability. In this paper, we develop a new WBAN resource sharing scheme based on the reverse-biform game model. Based on the dual-level phases, the limited WBAN resource is effectively shared by employing a game manner. The simulation results demonstrate that our game-theoretic framework can provide the ability to practically respond to current WBSN conditions. This approach is suitable for real WBAN operations, particularly for the energy efficiency, network throughput, and quality of service (QoS) provisioning.

关键词： WBAN wireless body area networks power control algorithm data-tuning mechanism QoS quality of service reverse-biform game

来源：评论

学校读者我要写书评

暂无评论

An Innovative Operation Strategy of ESS for Capacity Expansion of Renewable Energy and Customer Load with Electric Vehicle Chargers in Low Voltage Distribution Systems

引用

ENERGIES 2019年第24期12卷 4668-4668页

作者： Ryu, Kyung-Sang Kim, Dae-Jin Nam, Yang-Hyun Ko, Heesang Kim, Byungki Kim, Ho-Chan KIER JGRC 200 Haemajihaean Ro Gujwa Eup 63357 Jeju Specific S South Korea Jeju Natl Univ Dept Elect Engn 102 Jejudaehak Ro Jeju Si 63243 Jeju Specific S South Korea

This paper proposes an innovative operation strategy to extend the acceptance of EVC (Electric Vehicle Charger) and RES (Renewable Energy Resource) in LVDS (Low Voltage Distribution System) by introducing an ESS (Energy Storage System). In conventional LVDS, the load and RES capacity are designed not to exceed the pole transformer capacity. However, when the ESS is connected to the end of LVDS and the bidirectional power flow becomes possible, the linkable capacity of the load and renewable energy can be improved up to twice the capacity of the pole transformer. In addition, even though the power consumption of the load and the power generation of RES exceed the pole transformer capacity, it is possible to maintain the feeder capacity and grid voltage within the allowable limit by the appropriate operation of the ESS. The simulations are performed in the environment of PSCAD/EMTDC, and the ability of the proposed strategy is assessed and discussed.

关键词： energy storage system power control algorithm capacity expansion low voltage distribution system PSCAD/EMDC

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：