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检索条件"主题词=Concave Programming"

共 311 条记录，以下是291-300 订阅

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Distributed Interference-Aware Energy-Efficient Resource Allocation for Device-to-Device Communications Underlaying Cellular Networks

Distributed Interference-Aware Energy-Efficient Resource All...

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IEEE Global Communications Conference

作者： Zhenyu Zhou Mianxiong Dong Kaoru Ota Jun Wu Takuro Sato State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Electrical and Electronic Engineering North China Electric Power University National Institute of Information and Communications Technology Department of Information and Electric Engineering Muroran Institute of Technology School of Information Security Engineering Shanghai Jiao Tong University Graduate School of Global Information and Telecommunication Studies Waseda University

ISBN: (纸本)9781479935130

The introduction of device-to-device (D2D) into cellular networks poses many new challenges in the resource allocation design due to the co-channel interference caused by spectrum reuse and limited battery life of user equipments (UEs). In this paper, we propose a distributed interference-aware energy-efficient resource allocation algorithm to maximize each UE's energy efficiency (EE) subject to its specific quality of service (QoS) and maximum transmission power constraints. We model the resource allocation problem as a noncooperative game, in which each player is self-interested and wants to maximize its own EE. The formulated EE maximization problem is a non-convex problem and is transformed into a convex optimization problem by exploiting the properties of the nonlinear fractional programming. An iterative optimization algorithm is proposed and verified through computer simulations.

关键词： cellular radio cochannel interference concave programming convex programming energy conservation iterative methods quality of service resource allocation D2D communication EE maximization problem QoS UE convex optimization problem device-to-device communication distributed interference-aware energy-efficient resource allocation iterative optimization algorithm nonconvex problem noncooperative game nonlinear fractional programming spectrum reuse transmission power constraint underlaying cellular network user equipment Games Interference Optimization Quality of service Receivers Resource management Transmitters

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A Hybrid Differential Evolution and Harmony Search for Nonconvex Economic Dispatch Problems

A Hybrid Differential Evolution and Harmony Search for Nonco...

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IEEE 7th International Power Engineering and Optimization Conference (PEOCO)

作者： Le Dinh Luong Vo Ngoc Dieu Nguyen Thanh Hop Le Anh Dung HCMC Univ Technol Fac Mech Elect Elect Hanoi Vietnam HCMC Univ Technol Dept Power Syst Hanoi Vietnam

ISBN: (纸本)9781467350747;9781467350723

In this paper, we presents a novel approach for solving economic dispatch (ED) problems with nonconvex cost functions using a hybrid differential evolution and harmony search (DEHS). The DEHS method is an improved differential evolution method based on the harmony search scheme. The DEHS method has the flexible adjustment of the parameters to get a better optimal solution. Moreover, an effective constraint handling framework in the method is employed for properly handling equality and inequality constraints of the problem. The proposed DEHS has been tested on three systems with 40, 15 and 140 units and the obtained results from DEHS algorithm have been compared to those from other methods in the literature. The result comparison has indicated that the proposed DEHS method is more effective than many other methods for obtaining the optimal solution for the test systems. Therefore, the proposed DEHS is a very favorable method for solving the nonconvex ED problems.

关键词： concave programming evolutionary computation load dispatching power system economics search problems

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A Computational Experiment Method in ACP Framework for Complex Urban Traffic Networks

A Computational Experiment Method in ACP Framework for Compl...

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IEEE International Conference on Intelligent Transportation Systems

作者： Yaran Chen Shu Lin Gang Xiong Qingjie Kong Fenghua Zhu Inst. of Smart City Syst. Qingdao Acad. of Intell. Ind. Qingdao China

ISBN: (纸本)9781479960798

Urban traffic congestion has already become an urgent problem. Artificial societies, Computational experiments, and Parallel execution (ACP) method is applied to urban traffic problems. In ACP framework, optimization for urban road networks achieves remarkable effect. Optimization for urban road networks is a problem of nonlinear and non-convex programming with typical large-scale continual and integer variables. Due to the complicated urban traffic system, this paper focuses on the ACP-based Computational experiments modeling. It hopes to find an optimization model that is further accord with the practical situation. To this end, we use a mixed integer nonlinear programming problem (MINLP) and an genetic algorithm (GA) for urban road networks optimization. The systemic simulation experiments show that the approach is more effective in improving traffic status and increasing traffic safety.

关键词： concave programming genetic algorithms integer programming nonlinear programming road traffic ACP framework GA MINLP artificial societies complex urban traffic networks computational experiments genetic algorithm mixed integer nonlinear programming problem nonconvex programming optimization parallel execution urban traffic congestion Electronic mail Genetic algorithms Libraries Optimization programming Roads Vehicles Genetic Algorithm (GA) parallel execution urban road networks electronic mail Nonlinear programming traffic in cities Road traffic programming Integer programming Road vehicle Gallium traffic congestion Libraries Traffic safety

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Low complexity power allocation for two-way decode-and-forward OFDM relay networks

Low complexity power allocation for two-way decode-and-forwa...

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IEEE International Conference on Communications in China (ICCC)

作者： Fei He Xiang Chen Limin Xiao Shidong Zhou China Academic of Electronics and Information Technology Beijing TNList Tsinghua University Beijing Key Lab of EDA Research Institute of Tsinghua University in Shenzhen Shenzhen China School of Electronics and Information Engineering Sun Yat-sen University Guangzhou

In a Gaussian two-way Decode-and-Forward (DF) Orthogonal Frequency Division Multiplexing (OFDM) relay network, the achievable rate region can be effectively improved by proper power allocation. However, when joint coding among all subcarriers is considered during the multiple-access (MAC) phase, the complicated multi-user detection (MUD) operation at the relay node has to be performed to approach the rate region. In this paper, the frequency-division multiple access (FDMA) constraint is involved to simplify the MUD operation, while the corresponding optimal power allocation for achievable rate region is not convex any more. Then a duality-based proximal optimization algorithm is proposed to solve this non-convex problem efficiently. Simulation results show that our simplified scheme with the FDMA constraint has only a little rate loss compared with the original optimal one, while obtaining even a minor sum rate improvement than the scheme in [6]. Therefore, by our FDMA-constraint low complexity power allocation scheme, a good tradeoff between the complexity and performance for the practical system implementation is achieved.

关键词： relay networks (telecommunication) concave programming decode and forward communication frequency division multiple access OFDM modulation Frequency division multiaccess Orthogonal frequency division multiplexing power splitting achievable rate region Relay networks Trunk Node system implementation Bidirectional

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A Non-Convex Zones Identification Method for Non-Linear Non-Convex Constraints Applied to LP

A Non-Convex Zones Identification Method for Non-Linear Non-...

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IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)

作者： Emanuel Huerta Balcazar Jaime Cerda Salvador Ramirez Graduate Studies Division Electrical Engineering School Universidad Michoacana

ISBN: (数字)9781728128986

ISBN: (纸本)9781728128993

There are systems that require the integration of non-linear functions into a linear program for their correct modeling. This document analyzes the situations that may arise when solving an LP to which a non linear non convex function has been introduced as a set of linear constraints. It presents a methodology focused on the solution of the above type of problems. To this end an algorithm for the identification of non convex regions as well as the vertices that delimit the border of each of these zones is proposed. Subsequently, an algorithm to assess the risk of falling into non-feasible solutions is applied. Finally, if required, an alternative solution from the one obtained by the LP solver is returned, ensuring the feasibility of the proposed solution.

关键词： concave programming Linear programming Convex functions

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Wiener Filtering for Passive Linear Quantum Systems

Wiener Filtering for Passive Linear Quantum Systems

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American Control Conference

作者： V. Ugrinovskii M. R. James School of Engineering and Information Technology University of New South Wales Australian Defence Force Academy Canberra ACT 2600 Australia ARC Centre for Quantum Computation and Communication Technology Research School of Engineering Australian n

ISBN: (纸本)9781538679012;9781538679265

This paper considers a version of the Wiener filtering problem for equalization of passive linear quantum systems. We demonstrate that taking into consideration the quantum nature of the signals involved leads to features typically not encountered in classical equalization problems. Most significantly, finding a mean-square optimal quantum equalizing filter amounts to solving a nonconvex constrained optimization problem. We discuss two approaches to solving this problem, both involving a relaxation of the constraint. In both cases, unlike classical equalization, there is a threshold on the variance of the noise below which an improvement of the mean-square error cannot be guaranteed.

关键词： concave programming discrete systems filtering theory least mean squares methods linear systems mean square error methods Wiener filters

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Energy-Efficient Power Allocation for Secure Communications in Large-Scale MIMO Relaying Systems

Energy-Efficient Power Allocation for Secure Communications ...

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IEEE/CIC International Conference on Communications in China

作者： Jian Chen Xiaoming Chen Tao Liu Lei Lei Coll. of Electron. & Inf. Eng. Nanjing Univ. of Aeronaut. & Astronaut. Nanjing China

In this paper, we address the problem of energy-efficient power allocation for secure communications in an amplify-and-forward (AF) large-scale multiple-input multiple-output (LS-MIMO) relaying system in presence of a passive eavesdropper. The benefits of an AF LS-MIMO relay are exploited to significantly improve the secrecy performance, especially the secrecy energy efficiency (bit per Joule). We first analyze the impact of transmit power at the relay on the secrecy outage capacity, and prove that the secrecy outage capacity is a concave function of transmit power under very practical assumptions, i.e. no eavesdropper channel state information (CSI) and imperfect legitimate CSI. Then, we propose an energy-efficient power allocation scheme to maximize the secrecy energy efficiency. Finally, simulation results validate the advantage of the proposed energy-efficient scheme compared to the capacity maximization scheme.

关键词： MIMO communication amplify and forward communication concave programming energy conservation relay networks (telecommunication) telecommunication network reliability telecommunication power management telecommunication security amplify-and-forward relaying system capacity maximization scheme channel state information energy-efficient power allocation large-scale MIMO relaying systems passive eavesdropper power transmission secrecy outage capacity secure communications Antennas Energy efficiency MIMO Protocols Relays Resource management Signal processing

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Adapting AC lines for DC power distribution to reduce the power imbalance in three-phase four-wire systems

Adapting AC lines for DC power distribution to reduce the po...

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The 16th IET International Conference on AC and DC Power Transmission (ACDC 2020)

作者： C. Lou J. Yang L. Zhang University of Glasgow James Watt School of Engineering G12 8QQ Glasgow United Kingdom China Agricultural University College of Information and Electrical Engineering 100083 Beijing P.R.China

As city development, power distribution networks become more complicated. As unreasonable planning or occurrence of unexpected loads, the network may face three-phase imbalances caused by heavy single-phase loads or single-phase distributed generation (DG) installation. This phenomenon has greatly increased network losses, idle time of equipment, and security risks of the power distribution networks. In this paper, the identified most phase-unbalanced areas of the network are adapted from AC for DC distribution to improve the whole network’s performance. Then an operational strategy is presented for the AC/DC hybrid system after the adaptation. By optimizing the regulation of voltage-source converters (VSCs), optimal energy storage systems (ESSs) dispatch and distributed energy resources (DERs) curtailment, the proposed strategy can reduce power losses and threephase imbalance. After relaxation of the original non-convex and nonlinear model, this paper apply second-order cone programming (SOCP) to solve the relaxed model quickly and precisely. Case studies are conducted on a modified 415V 3-phase 4-wire system in England in the UK to show that utilizing AC circuit for DC power distribution significantly improves unbalanced loading conditions and reduces power losses.

关键词： distributed power generation energy storage DC distribution systems voltage-source convertors load dispatching demand side management wires (electric) concave programming

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Optimal battery sizing for a distribution network in Austria to maximise profits and reliability

Optimal battery sizing for a distribution network in Austria...

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CIRED 2020 Berlin Workshop (CIRED 2020)

作者： Da Huo Marcos V. Santos David M. Greenwood Neal S. Wade Markus P. Resch School of Engineering Newcastle University Newcastle upon Tyne NE1 7RU UK Energie Güssing GmbH Wiener Straße 23 7540 Güssing Austria

Energy storage systems (ESSs) can benefit distribution networks by providing multiple services to the distribution system operator and contributing to system reliability. Given the high capital costs of ESS, it is beneficial to optimally design them for their intended applications; however, this can be computationally expensive due to the non-convex formulation of the AC power flow, the complexity of business use cases and the simulation of multi-period operations. This study develops a comprehensive model to size the ESS to minimise the system lifetime costs and maximise reliability. The non-convex AC power flow model is modified using a convex relaxation, which yields efficient and globally optimal results. The battery degradation is simulated by a global wear coefficient considering the effect of depth of discharge. The sizing study is implemented to fulfil multiple applications on the Güssing distribution network in Austria.

关键词： distribution networks profitability reliability energy storage power system reliability load flow convex programming concave programming battery storage plants power distribution economics

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Wireless Powered Communication Networks Aided by an Unmanned Aerial Vehicle

Wireless Powered Communication Networks Aided by an Unmanned...

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IEEE Vehicular Technology Conference

作者： Junhee Park Hoon Lee Subin Eom Inkyu Lee Sch. of Electr. Eng. Korea Univ. Seoul South Korea Inf. Syst. Technol. & Design Pillar Singapore Univ. of Technol. & Design Singapore Singapore

ISBN: (纸本)9781538663592;9781538663585

This paper investigates an unmanned aerial vehicle (UAV)-aided wireless powered communication network where a mobile hybrid access point serves multiple energy-constrained ground terminals (GTs) in terms of wireless energy transfer and data collection. Specifically, to support information transmission of the GTs, the mobile UAV first transfers wireless energy in the downlink. Then, by harvesting this wireless energy, the GTs transmit their uplink information signals to the UAV in a time division multiple access manner. In this system, we jointly optimize the trajectory of the UAV and the uplink power control policy in order to maximize the minimum throughput of the GTs. By applying the concave-convex procedure, we propose an iterative algorithm which efficiently identifies a locally optimal solution. Simulation results verify the efficiency of the proposed algorithm compared to conventional schemes.

关键词： autonomous aerial vehicles concave programming convex programming energy harvesting iterative methods mobile radio power control radiofrequency power transmission telecommunication control telecommunication power management telecommunication power supplie Communication and control networks(communications) Mobile radios convex programming drone honey bees Unmanned Aerial Vehicle iterative methods energy harvesting Power control wireless vehicle time division multiple access data transmission

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