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An energy-efficient power allocation algorithm under reliability constraint for industrial Internet of Thing systems

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INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS 2023年第14期36卷 e5558-e5558页

作者： Zheng, YaChen Yang, Kun Yan, Yan Shen, Jun Mei, HaiBo Univ Elect Sci & Technol China Yangtze Delta Reg Inst Huzhou Chengdu Sichuan Peoples R China Univ Elect Sci & Technol China Sch Informat & Commun Engn Quzhou Peoples R China 2006 Xiyuan Ave Chengdu Sichuan Peoples R China

With the development of 5G technology, the Internet of Things (IoT) system is becoming more and more widely used in various fields. However, the reliability issue still hinders the wide applications. For instance, the transmission reliability of the IoT system will be significantly affected by the status of end devices, wireless channel quality, and the environment. Moreover, according to the Automatic Repeat-reQuest (ARQ) retransmission mechanism in the 802.15.4 protocol, if the IoT end devices pursue a conservative power model causing low signal transmission power, it is likely that the signal power will lose too much during the transmission process. This will result in the increase of the network packet loss rate and the power consumption during the data retransmission. To solve this problem, this paper proposes a reasonable transmission power allocation algorithm to ensure the transmission reliability, considering the ARQ retransmission mechanism. The algorithm intends to find the optimal transmission power of each IoT end device, so as to minimize the total energy consumption. The simulation results demonstrate that the power allocation algorithm improves the reliability of the IoT system, compared with other algorithms.

关键词： ARQ IEEE 802 15 4 Internet of Things power allocation algorithm transmission reliability

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A fast efficient power allocation algorithm for target localization in cognitive distributed multiple radar systems

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SIGNAL PROCESSING 2016年 127卷 100-116页

作者： Feng, Han-Zhe Liu, Hong-Wei Yan, Jun-Kun Dai, Feng-Zhou Fang, Ming Xidian Univ Natl Lab Radar Signal Proc Xian 710071 Peoples R China Xidian Univ Collaborat Innovat Ctr Informat Sensing & Underst Xian 710071 Peoples R China Duke Univ Dept Elect & Comp Engn Durcham NC 27708 USA

It is well-known that the power allocation can enhance the power utilization of the distributed radar systems. We first analyze two interesting non-increasing properties of Cramer-Rao low bound (CRLB) for target location via distributed multiple radar systems. On the basis of the classical power allocation methods [15], this paper proposes a fast efficient power allocation algorithm applied to cognitive distributed multiple radar systems, which depends greatly on an alternating global search algorithm(AGSA). In this paper, our aim is directly to minimize the non-convex CRLB [15] of target location estimation. The convergence of the proposed algorithm is theoretically analyzed by LaSalle invariance principle. We analyze the computational complexity of the two closely-related algorithms. The famous Pareto optimal set associated with power allocation is obtained by the proposed algorithm, and it can indirectly derive the solution to problem for minimizing total power budget. Experimental results demonstrate that our algorithm has quick convergence and good performance. (C) 2016 Elsevier B.V. All rights reserved.

关键词： power allocation algorithm Cognitive distributed multiple radar systems Cramer-Rao low lound Pareto optimal set Alternating global search algorithm Domain decomposition methods

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Multi-beam-based Downlink Modeling and power allocation Scheme for Integrated Sensing and Communication towards 6G 95

Multi-beam-based Downlink Modeling and Power Allocation Sche...

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IEEE 95th Vehicular Technology Conference: (VTC-Spring)

作者： Wang, Jianhao Ma, Liang Wei, Zhiqing Yang, Heng Pan, Chengkang Wang, Yajuan Beijing Univ Posts & Telecommun Sch Informat & Commun Engn Minist Educ Key Lab Univ Wireless Commun Beijing 100876 Peoples R China China Mobile Res Inst Future Res Lab Beijing Peoples R China

ISBN: (数字)9781665482431

ISBN: (纸本)9781665482431

As one of the promising technologies of the future 6G network, Integrated Sensing and Communication (ISAC) is able to provide tremendous benefits such as performance improvement and cost reduction through integrating the two systems as a whole. The use of ISAC technology will introduce new sensing abilities and enhance information processing capabilities at base stations, and makes the interaction between base stations and vehicles more frequent, which brings huge benefits to connected automated vehicles(CAV). If the BS only transmits the single beam at a given period, the sensing functions will not be guaranteed as there are blind zone and other issues. Therefore, we propose a multi-beam model for the ISAC downlink transmission. Furthermore, considering the uneven distribution of resources among different users, an ISAC multi-beam power allocation algorithm is proposed. Such convex optimization problem is solved using CVX toolbox and optimal solutions are obtained. The simulation results show that compared with the traditional average power allocation and water filling algorithms, proposed algorithm will improve the total communication rate for multi-user scenario, and provide a satisfied sensing accuracy of less than 1m sensing error.

关键词： Integrated Sensing and Communication 6G Connected Automated Vehicles Multi-beam power allocation algorithm

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5G RAN Slicing Resource allocation Based on PF/M-LWDF 4

5G RAN Slicing Resource Allocation Based on PF/M-LWDF

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4th International Conference on Computer Communication and Artificial Intelligence (CCAI)

作者： Hu, Feng Qiu, Jiahao Chen, Andong Yang, Hexing Li, Shufeng Commun Univ China Sch Informat & Commun Engn Beijing Peoples R China

ISBN: (纸本)9798350362770;9798350362763

The rapid development of 5G communication technology has led to the emergence of business scenarios such as cloud performing art. In the cloud performing art scenario, there are problems such as restricted spectrum and computation resources in the frequency domain during video competition access and differences in transmission and computation requirements between the coexisting enhanced mobile broadband (eMBB) and the ultra-reliable low-latency communications (uRLLC) services. Based on this, exploring the slicing resource scheduling strategy adapted to multi-service scenarios on the 5G RAN side is crucial to effectively improving resource utilization efficiency and network coverage capability. In this paper, a priority scheduling algorithm based on the puncture decision is proposed for the slice resource allocation problem in multi-service coexistence scenarios, such as eMBB and uRLLC, to alleviate the quality of service (QoS) loss caused by the limited competition of spectrum resources. A proposed two-tier resource scheduling algorithm based on proportional fairness (PF), modified-largest weighted delay first (M-LWDF) with heuristic algorithms, and a slice scheduling model accurately adapted to eMBB service types. Simulation results show that the algorithms proposed in this paper can efficiently satisfy the latency requirements of eMBB real-time services and, at the same time, achieve a better fairness guarantee.

关键词： 5G network slices slices deployment power allocation algorithm proportional fairness video quality

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power allocation Schemes Based on Deep Learning for Distributed Antenna Systems

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IEEE ACCESS 2020年 8卷 31245-31253页

作者： Qian, Gongbin Li, Zhukun He, Chunlong Li, Xingquan Ding, Xue Shenzhen Univ Shenzhen Key Lab Adv Machine Learning & Applicat Shenzhen 518060 Guangdong Peoples R China

In recent years, a lot of power allocation algorithms have been proposed to maximize spectral efficiency (SE) and energy efficiency (EE) for the distributed antenna systems (DAS). However, the traditional iterative power allocation algorithms are difficult to be implemented in reality because of their high computational complexity. With the development of machine learning algorithms, it has been proved that the machine learning method has excellent learning ability and low computational complexity, which can approximate the traditional iterative power allocation well and be easily to be implemented in reality. In this paper, we propose a new deep neural network (DNN) model for DAS. From the perspective of machine learning, traditional iterative algorithms can be regarded as a nonlinear mapping between user channel realizations and optimal power allocation schemes. Therefore, we train the DNN to learn the nonlinear mapping between the user channel realizations and the corresponding power allocation schemes based on the traditional iterative algorithm. Then, a power allocation schemes based on DNN method is developed to maximize SE and EE for DAS. The simulation results show that the proposed scheme can not only obtain the almost similar performance as the traditional iterative algorithm, but also reduce much online computational time.

关键词： Distributed antenna systems deep learning power allocation algorithm sub-gradient algorithm spectral efficiency energy efficiency

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A Robust Resource allocation Scheme for Device-to-Device Communications Based on Q-Learning

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Computers, Materials & Continua 2020年第11期65卷 1487-1505页

作者： Azka Amin Xihua Liu Imran Khan Peerapong Uthansakul Masoud Forsat Seyed Sajad Mirjavadi School of Business Qingdao UniversityQingdao266061China School of Economics Qingdao UniversityQingdao266061China Department of Electrical Engineering University of Engineering and TechnologyPeshawarPakistan School of Telecommunication Engineering Suranaree University of TechnologyNakhon RatchasimaThailand Department of Mechanical and Industrial Engineering College of EngineeringQatar UniversityDohaQatar

One of the most effective technology for the 5G mobile communications is Device-to-device(D2D)communication which is also called terminal pass-through *** can directly communicate between devices under the control of a base station and does not require a base station to forward *** advantages of applying D2D communication technology to cellular networks are:It can increase the communication system capacity,improve the system spectrum efficiency,increase the data transmission rate,and reduce the base station *** at the problem of co-channel interference between the D2D and cellular users,this paper proposes an efficient algorithm for resource allocation based on the idea of Q-learning,which creates multi-agent learners from multiple D2D users,and the system throughput is determined from the corresponding state-learning of the Q value list and the maximum Q action is obtained through dynamic power for control for D2D *** mutual interference between the D2D users and base stations and exact channel state information is not required during the Q-learning process and symmetric data transmission mechanism is *** proposed algorithm maximizes the system throughput by controlling the power of D2D users while guaranteeing the quality-of-service of the cellular *** results show that the proposed algorithm effectively improves system performance as compared with existing algorithms.

关键词： 5G D2D communications power allocation algorithm resource optimization

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Cooperative secure transmission against collusive eavesdroppers in Internet of Things

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INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS 2020年第6期16卷 1-13页

作者： Fan, Xin Huo, Yan Beijing Jiaotong Univ Sch Elect & Informat Engn 3 Shangyuancun Beijing 100044 Peoples R China

As Internet of Things (IoT) has boomed in recent years, many security issues have also been exposed. Focusing on physical layer security in wireless Internet of Things network communication, a series of security methods have been widely studied. Nevertheless, cooperative jamming methods in physical layer security to fight against collusive eavesdroppers have not been thoroughly studied yet. In this article, we study a cooperative-jamming-based physical layer secure transmission scheme for Internet of Things wireless networks in the presence of collusive eavesdroppers. We design a cooperative jamming strategy without knowing the channel state information of eavesdroppers. Considering the cooperation of multiple nodes with multiple antennas, this strategy can maximize the signal-to-interference-plus-noise ratio at an actuator (legitimate receiver). Meanwhile, the generated cooperative jamming signals can reduce the signal-to-interference-plus-noise ratio at eavesdroppers. To explore the theoretical security performance of our strategy, we perform a secrecy outage probability analysis and an asymptotic analysis. In the cases of cooperative jamming and without cooperative jamming, the closed-form expressions of the secrecy outage probability are deduced, and the influence of system parameters on the secrecy outage probability becomes more intuitive through a strict mathematical asymptotic behavior analysis. In addition, considering the energy limitation of Internet of Things devices, we propose a power allocation algorithm to minimize the total transmission power given the security requirements. The numerical results show the effectiveness of our schemes and are consistent with the theoretical analysis.

关键词： Internet of Things collusive eavesdroppers cooperative jamming asymptote secrecy outage probability power allocation algorithm

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Energy-Efficient resource allocation for device-to-device underlay communications in cellular networks

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IET SIGNAL PROCESSING 2019年第6期13卷 633-639页

作者： Anbiyaei, Mohammad Faez, Karim Najimi, Maryam Qazvin Islamic Azad Univ Dept Elect IT & Comp Sci Qazvin Iran Amirkabir Univ Technol Dept Elect Engn Tehran Iran USTM Dept Elect & Comp Engn Behshahr Iran

In device-to-device (D2D) communication underlaying cellular networks, the D2D user equipments (DUEs) can communicate by sharing the radio resources assigned to cellular user equipments. D2D communication is expected to improve the network throughput and save more energy for the user equipments. However, D2D communication causes severe interference to both the cellular users and other DUEs which is a challenge to radio resource allocation. The authors propose joint channel and power allocation algorithm to maximise the network achievable throughput, control the interference from the DUEs transmissions to cellular users and improve the energy efficiency of the user equipments. The authors formulate the problem and solve it using convex optimisation methods to select DUEs and set their powers in each channel. Simulation results show that the proposed algorithm can offer near-optimal performance and outperforms the comparable algorithms especially in terms of achievable throughput even with markedly reduced complexity levels.

关键词： optimisation resource allocation cellular radio convex programming energy-Efficient resource allocation device-to-device underlay communications cellular networks device-to-device communication D2D radio resources cellular user equipments network throughput cellular users radio resource allocation power allocation algorithm network achievable throughput DUEs transmissions energy efficiency

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Time and power allocation for Energy Efficiency Maximization in Wireless-powered Full-Duplex Relay Systems

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FUTURE INTERNET 2019年第10期11卷

作者： Song, Xin Ni, Yue Han, Xiuwei Qin, Lei Dong, Li Northeastern Univ Engn Optimizat & Smart Antenna Inst Qinhuangdao 066100 Hebei Peoples R China Northeastern Univ Sch Comp Sci & Engn Shenyang 110004 Liaoning Peoples R China

In this paper, we propose an optimal time and power allocation scheme in a wireless power supply full-duplex (FD) relay system, where we consider the number of relay antennas in the energy harvesting stage. At the same time, the energy efficiency optimization problem of the system is structured, where optimization issues related to time allocation factors and power allocation are established. For the FD dual-antenna and the FD single-antenna energy harvesting system, energy efficiency function is proven to be a concave function over the time-switch factor, and the optimal time-switching factor is theoretically obtained using the Lambert function. Then, according to the given value range of the optimal time switching factor, the optimal power distribution scheme is obtained by analyzing the derivative function of the system energy efficiency and using the properties of the Lambert function. The time-switching factor and transmission power are optimally selected at the wireless power supply FD relay. Results reveal that the performance of energy efficiency of the dual-antenna energy harvesting at the FD relay outperforms that of the single-antenna. Moreover, our results demonstrate that FD relay systems always substantially boost the energy efficiency compared with half-duplex (HD) relay systems.

关键词： full-duplex wireless power communication network energy harvesting time allocation algorithm power allocation algorithm half-duplex relay

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Study on OFDM Adaptive power allocation algorithm

Study on OFDM Adaptive Power Allocation Algorithm

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2012 2nd International Conference on Industrial Technology and Management(ICITM 2012)

作者： Biying Shi Aimin Liu Information Science and Technology School Zhuhai CampusBeijing Institute of Technology

OFDM technology will become the key technique in broadband wireless communication system in future due to its advantages in suppressing effectively the fading channels and of high rate of spectrum usage efficiency. The adaptive modulation technology in OFDM system can choose proper modulation methods and signal power for every sub-channel, which improves greatly the system performance. To study on the adaptive modulation technology in OFDM system is significant for the development and applications of the broadband wireless communication system in the future. This essay proposes an adaptive modulation technology suitable for the OFDM system with fixed rate. The algorithm combines the sub-band division with the greedy allocation algorithm to simplify the algorithm complexity. Through gathering the adjacent sub-channels together and allocating the same number of bits to them, the signaling overhead in practical application can be reduced effectively. Through choosing different sub-band width, the complexity of the algorithm can be adjusted flexibly. And good compromise can be made between the algorithm complexity and the performance. Compared to the existing molecular band adaptive allocation algorithm, in the condition of the same performance, new algorithm has lower complexity. The new algorithm proposed in this essay has high application flexibility and is suitable for practical applications.

关键词： OFDM adaptive power allocation algorithm

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