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Chinese Physics B 2018年第8期27卷 87-98页

作者： Xiao-Chen Hao Jin-Shuo Liu Li-Xia Xie Bai Chen Ning Yao School of Electrical Engineering Yanshan UniversityQinhuangdao 066004China

In a wireless sensor network （WSN）, the energy of nodes is limited and cannot be charged. Hence, it is necessary to reduce energy consumption. Both the transmission power of nodes and the interference among nodes influence energy consumption. In this paper, we design a power control and channel allocation game model with low energy consumption （PCCAGM）. This model contains transmission power, node interference, and residual energy. Besides, the interaction between power and channel is considered. The Nash equilibrium has been proved to exist. Based on this model, a power control and channel allocation optimization algorithm with low energy consumption （PCCAA） is proposed. Theoretical analysis shows that PCCAA can converge to the Pareto Optimal. Simulation results demonstrate that this algorithm can reduce transmission power and interference effectively. Therefore, this algorithm can reduce energy consumption and prolong the network lifetime.

关键词： wireless sensor network power control channel allocation energy balance

power control and Routing Selection for Throughput Maximization in Energy Harvesting Cognitive Radio Networks

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Computers, Materials & Continua 2020年第6期63卷 1273-1296页

作者： Xiaoli He Hong Jiang Yu Song Muhammad Owais School of Information Engineering South West University of Science and TechnologyMianyang621010China School of Computer Science Sichuan University of Science and EngineeringZigong643000China Department of Network Information Management Center Sichuan University of Science and EngineeringZigong643000China Alhamd Islamic University BalochistanPakistan

This paper investigates the power control and routing problem in the communication process of an energy harvesting(EH)multi-hop cognitive radio network(CRN).The secondary user(SU)nodes(i.e.,source node and relay nodes)harvest energy from the environment and use the energy exclusively for transmitting *** SU nodes(i.e.,relay nodes)on the path,store and forward the received data to the destination *** consider a real world scenario where the EH-SU node has only local causal knowledge,i.e.,at any time,each EH-SU node only has knowledge of its own EH process,channel state and currently received *** order to study the power and routing issues,an optimization problem that maximizes path throughput considering quality of service(QoS)and available energy constraints is *** solve this optimization problem,we propose a hybrid game theory routing and power control algorithm(HGRPC).The EH-SU nodes on the same path cooperate with each other,but EH-SU nodes on the different paths compete with each *** selecting the best next hop node,we find the best strategy that can maximize *** addition,we have established four steps to achieve routing,i.e.,route discovery,route selection,route reply,and route *** with the direct transmission,HGRPC has advantages in longer distances and higher hop *** algorithm generates more energy,reduces energy consumption and increases predictable residual *** particular,the time complexity of HGRPC is analyzed and its convergence is *** simulation experiments,the performance(i.e.,throughput and bit error rate(BER))of HGRPC is ***,experimental results show that HGRPC has higher throughput,longer network life,less latency,and lower energy consumption.

关键词： Cognitive radio networks power control routing selection energy harvesting game theory amplify-and-forward(AF) throughput

power control for two-way amplify-and-forward relaying over Rayleigh fading channels

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Journal of Zhejiang University-Science C(Computers and Electronics) 2011年第4期12卷 280-287页

作者： Xing-zheng LI Yuan-an LIU Gang XIE Pan-liang DENG Fang LIU School of Electronic Engineering Beijing University of Posts and Telecommunications Beijing 100876 China

We propose two novel power control policies for a two-way amplify-and-forward (AF) relaying system,in which each node (two sources and one relay) is assumed to operate under bothminimum and peak power *** the exploitation of instantaneous channel gains,the first policy can maximize the sum rate of the ***,the instantaneous channel gains may be unavailable in a rapid time-varying system,where the first policy is ***,a robust power control policy which requires only mean channel gains is proposed to maximize the upper bound of the average sum rate,and the properties of this policy are *** results show that,by comparison with the policy in which all the nodes use their peak transmit power,the proposed power control policies can provide considerable system performance ***,the performance difference between the two proposed policies is negligible when the relay is close to one source.

关键词： Amplify-and-forward (AF) relaying power control Two-way relay channel Bidirectional relaying Cooperative communication

Distributed robust power control in two-tier vehicle networks under uncertain channel environments

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Digital Communications and Networks 2023年第3期9卷 734-742页

作者： Zhixin Liu Jiawei Su Yuan-ai Xie Yazhou Yuan Yi Yang Xinping Guan School of Electrical Engineering Yanshan UniversityQinhuangdao066004China School of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghai200240China

This paper proposes a novel optimization scheme to support stable and reliable vehicle-to-everything connections in two-tier networks,where the uplink channel of the cellular user is reused by underlay vehicle-to-vehicle ***,considering complex channel fading and high-speed vehicle movement,the cer-tainty assumption is impractical and fails to maintain power control strategy in reality in the traditional statical vehicular *** than the perfect channel state information assumption,the first-order Gauss-Markov process which is a probabilistic model affected by vehicle speed and fading is introduced to describe imperfect channel ***,interference management is a major challenge in reusing communications,especially in uncertain channel *** control is an effective way to realize interference management,and optimal power allocation can ensure that interference of the user meets the communication *** this study,the sum-rate-oriented power control scheme and minimum-rate-oriented power control scheme were implemented to manage interference and satisfy different design *** both of these schemes are non-convex and intractable,the Bernstein approximation and successive convex approximation methods were adopted to transform the original problems into convex ***,a novel distributed robust power control al-gorithm was developed to determine the optimal *** performance of the algorithm was evaluated through numerical simulations,and the results indicate that the proposed algorithm is effective in vehicular communication networks with uncertain channel environments.

关键词： Vehicle-to-Everything communications Vehicular two-tier networks Channel uncertainty power control

Efficient link scheduling with joint power control and successive interference cancellation in wireless networks

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Science China Earth Sciences 2016年第12期59卷 19-33页

作者： Xuan LI Yan SHI Xijun WANG Chao XU Min SHENG State Key Laboratory of Integrated Services Networks Information Science InstituteXidian UniversityXi'an 710071China Science and Technology on Information Transmission and Dissemination in Communication Networks Laboratory Shijiazhuang 050081China

Existing works have addressed the interference mitigation by any two of the three approaches: link scheduling, power control, and successive interference cancellation(SIC). In this paper, we integrate the above approaches to further improve the spectral efficiency of the wireless networks and consider the max-min fairness to guarantee the transmission demand of the worst-case link. We formulate the link scheduling with joint power control and SIC(PCSIC) problem as a mixed-integer non-linear programming(MINLP), which has been proven to be NP-complete. Consequently, we propose an iterative algorithm to tackle the problem by decomposing it into a series of linear subproblems, and then the analysis shows that the algorithm has high complexity in the worst case. In order to reduce the computational complexity, we have further devised a two-stage algorithm with polynomial-time complexity. Numerical results show the performance improvements of our proposed algorithms in terms of the network throughput and power consumption compared with the link scheduling scheme only with SIC.

关键词： successive interference cancellation power control mathematical optimization fairness cross-layerlink scheduling framework

Joint resource allocation and power control for radar interference mitigation in multi-UAV networks

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Science China(Information Sciences) 2021年第8期64卷 104-116页

作者： Xinyi WANG Zesong FEI Jingxuan HUANG J.Andrew ZHANG Jinhong YUAN School of Information and Electronics Beijing Institute of Technology Beijing Institute of Technology Chongqing Innovation Center School of Electrical and Data Engineering University of Technology Sydney School of Electrical Engineering and Telecommunications University of New South Wales

Navigation problems of unmanned air vehicles(UAVs) flying in a formation have been investigated recently, where collision avoidance is a significant issue to be addressed. In this paper, we study resource allocation and power control for radar sensing in a multi-unmanned aerial vehicle(multi-UAV)formation flight system where multiple UAVs simultaneously perform radar sensing. To cope with mutual radar interference among the UAVs, we formulate a joint channel allocation and UAV transmission power control problem to maximize the minimum signal-to-interference-plus-noise ratio(SINR) of the radar echo signals. We then propose a computationally practical method to solve this NP-hard problem by decomposing it into two sub-problems, i.e., channel allocation and transmission power control. An iterative channel allocation and power control algorithm(ICAPCA) is proposed to jointly solve these two sub-problems. We also propose a reduced-complexity greedy channel allocation algorithm(GCAA), which can also be used to provide an initial solution to ICAPCA. Simulation results show that the proposed ICAPCA and GCAA can improve the minimum SINR and radar sensing performance significantly.

关键词： multi-UAV network radar sensing channel allocation power control

Optimal trajectory and downlink power control for multi-type UAV aerial base stations

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Chinese Journal of Aeronautics 2021年第9期34卷 11-23页

作者： Lixin LI Yan SUN Qianqian CHENG Dawei WANG Wensheng LIN Wei CHEN School of Electronics and Information Engineering Northwestern Polytechnical UniversityXi’an 710129China Department of Electronic Engineering Tsinghua UniversityBeijing 100084China

Unmanned Aerial Vehicles(UAVs)enabled Aerial Base Stations(UABSs)have been studied widely in future ***,there are a series of challenges such as interference management,trajectory design and resource allocation in the scenarios of multi-UAV ***,different performances among UABSs increase complexity and bring many *** this paper,the joint downlink transmission power control and trajectory design problem in multi-type UABSs communication network is *** order to satisfy the signal to interference plus noise power ratio of users,each UABS needs to adjust its position and transmission *** on the interactions among multiple communication links,a non-cooperative Mean-Field-Type Game(MFTG)is proposed to model the joint optimization ***,a Nash equilibrium solution is solved by two steps:first,the users in the given area are clustered to get the initial deployment of the UABSs;second,the Mean-Field Q(MFQ)-learning algorithm is proposed to solve the discrete MFTG ***,the effectiveness of the approach is verified through the simulations,which simplifies the solution process and effectively reduces the energy consumption of each UABS.

关键词： Mean-Field-Type Game(MFTG) power control Q-learning Trajectory Unmanned Aerial Vehicle(UAV)

Automated power control for Virtualized Infrastructures

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Journal of Computer Science & Technology 2014年第6期29卷 1111-1122页

作者：文雨王伟平郭莉孟丹 Institute of Information Engineering Chinese Academy of Sciences CCF IEEE

power control for virtualized enviromnents has is keeping underlying infrastructure in reasonably low power gained much attention recently. One of the major challenges states and achieving service-level objectives （SLOs） of upper applications as well. Existing solutions, however, cannot effectively tackle this problem for virtualized environments. In this paper, we propose an automated power control solution for such scenarios in hope of making some progress. The major advantage of our solution is being able to precisely control the CPU frequency levels of a physical environment and the CPU power allocations among virtual machines with respect to the SLOs of multiple applications. Based on control theory and online model estimation, our solution can adapt to the variations of application power demands. Additionally, our solution can simultaneously manage the CPU power control for all virtual machines according to their dependencies at either the application-level or the infrastructure-level. The experimental evaluation demonstrates that our solution outperforms three state-of-the-art methods in terms of achieving the application SLOs with low infrastructure power consumption.

关键词： power control virtualized infrastructure multi-tier application virtual machine service-level objective

Joint power control and relay selection scheme for cognitive two-way relay networks

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Journal of Systems Engineering and Electronics 2013年第4期24卷 571-578页

作者： Dingcheng Yang Lin Xiao Jisheng Xu Wengang Li Information Engineering School Nanchang University School of Electronics and Information Wuhan University National Key Lab of ISN Xidian University

A joint power control and relay selection scheme is considered for a cooperative and cognitive radio system where a secondary network shares spectrum with the primary network. In the secondary network, two secondary users （SUs） communicate with each other via an assist relay. The main point is to provide the best system performance to SUs while maintaining the interference power at primary user （PU） under a certain level. Using convex optimization, a closed-form solution is obtained when optimizing the power allocation among the two nodes and relay. Based on this result, a joint power control and relay selection scheme with fewer variable dimensions is proposed to maximize the achievable rate of the secondary system. Simulation results demonstrate that the sum rate of the cognitive two-way relay network increases compared with a random relay selection and fixed power allocation.

关键词： cognitive radio two-way relay power control relay selection.

A user-selected uplink power control algorithm in the two-tier femtocell network

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Science China(Information Sciences) 2015年第4期58卷 51-62页

作者： CHAI XiaoMeng XU Xu ZHANG ZhongShan Institute of Advanced Network Technology and New Services University of Science and Technology Beijing

In two-tier femtocell networks, the frequency reuse among cells leads to cross-tier interference(CTI),the primary constraint to system performance improvement. In order to alleviate the impact of CTI, we propose a user-selected power control algorithm based on the non-cooperative game theory in consideration of user diversity gain. In the proposed scheme, the macro-user with high channel gain and the femto-user with low channel gain at the macro base station are scheduled to be "active" in one slot but to be "opposite" in next slot in order to achieve an optimal overall performance. Numerical results show that the proposed scheme is capable of outperforming the traditional stochastic schedule strategy by more than 30% improvement in terms of average macrocell capacity. Furthermore, an obvious performance gain in the percentage femtocells beyond its signal-to-interference-and-noise ratio(SINR) target can also be achieved by executing the macrocell link-quality-protection strategy.

关键词： power control game theory user-selected femtocell macrocell capacity