scholarly journals Power Minimization of UAV-Assisted Full-Duplex Mobile Relaying via Hybrid Trajectory Design

2021 ◽  
Author(s):  
Xiaodong Ji ◽  
Tao Wang ◽  
Chong Qian ◽  
Chenhao Huang
Keyword(s):  
Minimization Problem ◽  
Closed Form Solution ◽  
Data Communication ◽  
Full Duplex ◽  
Mixed Integer ◽  
Trajectory Design ◽  
Integer Programming Problem ◽  
Power Minimization ◽  
Long Distance ◽  
Propulsion Power

Abstract This paper solved a propulsion power minimization problem subject to a total data-bits constraint of an unmanned aerial vehicle (UAV) enabled full-duplex mobile relaying system, where a full-duplex UAV relay is dispatched as a mobile relay to assist data transfer from a source to a destination by using three trajectory flying modes, namely, the UAV first flies in a circle above the source, next flies to the destination in a straight line, and finally flies in a circle above the destination until all the data bits has been transferred. Since the propulsion power minimization problem is a non-convex mixed integer programming problem and its closed-form solution is hard to obtain, it is transformed to three sub-problems so as to simplify its solution. After solving the three sub-problems, an iterative algorithm is proposed to achieve a sub-optimal solution to the propulsion power minimization problem, leading to a new hybrid circular/straight trajectory (HCST) design. Computer simulations are conducted and the results validated the proposed HCST design. It is shown that compared to the straight or circular flight trajectory design, the HCST performs well in terms of energy saving for the long distance and big data communication cases.

scholarly journals A Joint Subcarrier Assignment and Power Allocation with Statistical Delay QoS Provisioning in Full-Duplex OFDMA Systems

2018 ◽  
Vol 17 ◽  
pp. 01009
Author(s):  
Shuai Yan ◽  
Xuefen Chi ◽  
Linlin Zhao ◽  
Yuhong Zhu
Keyword(s):  
Integer Programming ◽  
Power Allocation ◽  
Programming Problem ◽  
Allocation Problem ◽  
Full Duplex ◽  
Mixed Integer ◽  
Effective Capacity ◽  
Integer Programming Problem ◽  
Statistical Delay ◽  
Subcarrier Assignment

In this paper, we explore a joint subcarrier assignment and power allocation with statistical delay QoS guarantees for full-duplex OFDMA systems. Effective capacity theory which evaluates wireless channel capacity from a novel view of link layer provides a theory basis for modeling the system capacity under the conditions of delay QoS constrains. After modeling the aggregate effective capacity of the system, we formulate joint subcarrier assignment and power allocation problem as a mixed integer programming problem, whose target is to maximize the aggregate effective capacity. To solve this integer programming problem, we allocate initial power on each subcarrier and decompose it into two subproblems, which are subcarrier allocation problem and power allocation problem respectively. Further, we propose an alternative algorithm to achieve joint subcarrier assignment and power allocation, which can meet the “subcarrier continuity” constraint of uplink resource allocation. Simulations have shown that the performance of our proposed scheme is favorite. Additionally, we investigate the effect of the residual selfinterference, inter-node interference (INI) and statistical delay QoS exponent on the performance of systems.

scholarly journals Optimal Energy Beamforming to Minimize Transmit Power in a Multi-Antenna Wireless Powered Communication Network

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 509
Author(s):  
Iqra Hameed ◽  
Pham-Viet Tuan ◽  
Mario R. Camana ◽  
Insoo Koo
Keyword(s):  
Communication Network ◽  
Minimization Problem ◽  
Time Allocation ◽  
Access Point ◽  
Power Minimization ◽  
Transmit Power ◽  
Optimal Energy ◽  
Single Antenna ◽  
Information Signal ◽  
Energy Beamforming

In this paper, we study the transmit power minimization problem with optimal energy beamforming in a multi-antenna wireless powered communication network (WPCN). The considered network consists of one hybrid access point (H-AP) with multiple antennae and multiple users with a single antenna each. The H-AP broadcasts an energy signal on the downlink, using energy beamforming to enhance the efficiency of the transmit energy. In this paper, we jointly optimize the downlink time allocation for wireless energy transfer (WET), the uplink time allocation for each user to send a wireless information signal to the H-AP, the power allocation to each user on the uplink, and the downlink energy beamforming vectors while controlling the transmit power at the H-AP. It is challenging to solve this non-convex complex optimization problem because it is numerically intractable and involves high computational complexity. We exploit a sequential parametric convex approximation (SPCA)-based iterative method, and propose optimal and sub-optimal solutions for the transmit power minimization problem. All the proposed schemes are verified by numerical simulations. Through the simulation results, we present the performance of the proposed schemes based on the effect of the number of transmit antennae and the number of users in the proposed WPCN. Through the performance evaluation, we show that the SPCA-based joint optimization solution performance is superior to other solutions.

scholarly journals Allocation and Scheduling of Handling Resources in the Railway Container Terminal Based on Crossing Crane Area

2021 ◽  
Vol 13 (3) ◽  
pp. 1190
Author(s):  
Gang Ren ◽  
Xiaohan Wang ◽  
Jiaxin Cai ◽  
Shujuan Guo
Keyword(s):  
Programming Model ◽  
Container Terminal ◽  
Simultaneous Optimization ◽  
Mixed Integer ◽  
Gantry Crane ◽  
Optimization Scheme ◽  
Long Distance ◽  
Proposed Model ◽  
Hybrid Heuristic Algorithm ◽  
Searching Ability

The integrated allocation and scheduling of handling resources are crucial problems in the railway container terminal (RCT). We investigate the integrated optimization problem for handling resources of the crane area, dual-gantry crane (GC), and internal trucks (ITs). A creative handling scheme is proposed to reduce the long-distance, full-loaded movement of GCs by making use of the advantages of ITs. Based on this scheme, we propose a flexible crossing crane area to balance the workload of dual-GC. Decomposing the integrated problem into four sub-problems, a multi-objective mixed-integer programming model (MIP) is developed. By analyzing the characteristic of the integrated problem, a three-layer hybrid heuristic algorithm (TLHHA) incorporating heuristic rule (HR), elite co-evolution genetic algorithm (ECEGA), greedy rule (GR), and simulated annealing (SA) is designed for solving the problem. Numerical experiments were conducted to verify the effectiveness of the proposed model and algorithm. The results show that the proposed algorithm has excellent searching ability, and the simultaneous optimization scheme could ensure the requirements for efficiency, effectiveness, and energy-saving, as well as the balance rate of dual-GC.

scholarly journals A Mixed Integer Programming Poultry Feed Ration Optimisation Problem Using the Bat Algorithm

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Godfrey Chagwiza ◽  
Chipo Chivuraise ◽  
Christopher T. Gadzirayi
Keyword(s):  
Integer Programming ◽  
Mixed Integer Programming ◽  
Moringa Oleifera ◽  
Bat Algorithm ◽  
Mixed Integer ◽  
Poultry Feed ◽  
Integer Programming Problem ◽  
Optimum Solution ◽  
Mixed Integer Programming Problem ◽  
Number Of Iterations

In this paper, a feed ration problem is presented as a mixed integer programming problem. An attempt to find the optimal quantities of Moringa oleifera inclusion into the poultry feed ration was done and the problem was solved using the Bat algorithm and the Cplex solver. The study used findings of previous research to investigate the effects of Moringa oleifera inclusion in poultry feed ration. The results show that the farmer is likely to gain US$0.89 more if Moringa oleifera is included in the feed ration. Results also show superiority of the Bat algorithm in terms of execution time and number of iterations required to find the optimum solution as compared with the results obtained by the Cplex solver. Results revealed that there is a significant economic benefit of Moringa oleifera inclusion into the poultry feed ration.

RANCANG BANGUN TRACKING ARAH TEMBAKAN MENGGUNAKAN SENSOR POSISI BERBASIS PID

2021 ◽  
Vol 7 (1) ◽  
pp. 43-48
Author(s):  
Agung Raharjo ◽  
Eko Kuncoro ◽  
Imam Azhar
Keyword(s):  
Real Time ◽  
Data Communication ◽  
Raspberry Pi ◽  
Long Distance ◽  
Visualization System ◽  
Control Command ◽  
Combat Unit ◽  
Army Personnel ◽  
Automation Technology ◽  
Research Show

Seiring dengan perkembangan teknologi komunikasi dan otomasi, pelaksanaan tugas militer dapat dibantu dengan mengembangkan alutsista militer. Salah satunya pengembangan robot tempur yang akan digunakan sebagai alat untuk membantu tugas operasi jarak jauh pada satuan tempur TNI AD. Pada robot tempur tersebut akan ditanamkan sistem komunikasi data berupa perintah kendali laju robot, perintah kendali senjata serang, dan sistem visualisasi yang dapat digunakan untuk mendukung pergerakan robot hingga mencapai sasaran yang ditentukan, serta sebagai sistem penginderaan jarak jauh robot tempur untuk memonitor area musuh yang akan ditinjau. Operator menggunakan sebuah joystick untuk mengendalikan robot tempur dan tablet Android untuk memantau dan mendeteksi arah sasaran. Penelitian ini membahas tentang perancangan pendeteksian sasaran tembak yang dapat dikendalikan dari jarak jauh. Metode yang digunakan adalah metode eksperimen berbasis PID. Penelitian ini berfokus pada pendeteksian sasaran tembak yang nantinya akan terhubung dengan Raspberry Pi 3, sehingga senjata dapat mendeteksi adanya sasaran tembak yang ada di dalam jangkauan sensor posisi. Hasil dari penelitian menunjukkan bahwa robot dapat dikendalikan dengan mudah menggunakan joystick dan secara real-time terlihat pada layar Android yang terpasang pada kontrol joystick tersebut. Selain itu, sistem juga dapat membedakan antara sasaran tembak dan objek yang bukan sasaran tembak. Penelitian ini diharapkan dapat mendukung tugas operasi personel TNI dalam menjalankan misinya dengan memanfaatkan robot tempur. Along with the development of communication and automation technology, the implementation of military duties can be assisted by developing military defense equipment. One of them is the development of a combat robot that will be used as a tool to assist the task of long-distance operations on the Army combat unit. In the combat robot, a data communication system will be implanted in the form of a robot rate control command, an attack weapon control command, and a visualization system that is used to support the robot's movement to reach the target specified as a combat robot's remote sensing system for monitoring enemy areas to be reviewed. The operator has used a joystick to control the combat robot and to detect the direction of the target can be monitored with an android tablet. This research discusses the design of the detection of target fire that can be controlled remotely. The method used is experimental based on PID. This research focused on detecting firing targets that will be connected with Raspberry Pi 3 so that the weapon can detect the presence of firing targets within the position sensor. The results of the research show that the robot can be easily controlled using a Joystick and in real-time visible on the Android screen mounted on the Joystick control, the system can distinguish between target shooting and non-target objects. This research is expected to support the operational duties of army personnel in carrying out their missions by utilizing combat robots.

scholarly journals Optimal Reactive Power Scheduling Using Cuckoo Search Algorithm

2017 ◽  
Vol 7 (5) ◽  
pp. 2349 ◽  
Author(s):  
Surender Reddy Salkuti
Keyword(s):  
Power System ◽  
Reactive Power ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Optimization Techniques ◽  
Mixed Integer ◽  
Integer Programming Problem ◽  
Scheduling Problem ◽  
Power Scheduling

<p>This paper solves an optimal reactive power scheduling problem in the deregulated power system using the evolutionary based Cuckoo Search Algorithm (CSA). Reactive power scheduling is a very important problem in the power system operation, which is a nonlinear and mixed integer programming problem. It optimizes a specific objective function while satisfying all the equality and inequality constraints. In this paper, CSA is used to determine the optimal settings of control variables such as generator voltages, transformer tap positions and the amount of reactive compensation required to optimize the certain objective functions. The CSA algorithm has been developed from the inspiration that the obligate brood parasitism of some Cuckoo species lay their eggs in nests of other host birds which are of other species. The performance of CSA for solving the proposed optimal reactive power scheduling problem is examined on standard Ward Hale 6 bus, IEEE 30 bus, 57 bus, 118 bus and 300 bus test systems. The simulation results show that the proposed approach is more suitable, effective and efficient compared to other optimization techniques presented in the literature.</p>

scholarly journals Two-Step Intelligent Control for a Green Flexible EV Energy Supply Station Oriented to Dual Carbon Targets

Processes ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1918
Author(s):  
Shanshan Shi ◽  
Chen Fang ◽  
Haojing Wang ◽  
Jianfang Li ◽  
Yuekai Li ◽  
...  
Keyword(s):  
Intelligent Control ◽  
Carbon Emissions ◽  
Energy Supply ◽  
Control Method ◽  
Simulation Analysis ◽  
Power Grid ◽  
Mixed Integer ◽  
Integer Programming Problem ◽  
Peak Shaving ◽  
Operation Modes

As China proposes to achieve carbon peak by 2030 and carbon neutrality by 2060, as well as the huge pressure on the power grid caused by the load demand of the energy supply stations of electric vehicles (EVs), there is an urgent need to carry out comprehensive energy management and coordinated control for EVs’ energy supply stations. Therefore, this paper proposed a two-step intelligent control method known as ISOM-SAIA to solve the problem of the 24 h control and regulation of green/flexible EV energy supply stations, including four subsystems such as a photovoltaic subsystem, an energy storage subsystem, an EV charging subsystem and an EV battery changing subsystem. The proposed control method has two main innovations and contributions. One is that it reduces the computational burden by dividing the multi-dimensional mixed-integer programming problem of simultaneously optimizing the 24 h operation modes and outputs of four subsystems into two sequential tasks: the classification of data-driven operation modes and the rolling optimization of operational outputs. The other is that proper carbon transaction costs and carbon emission constraints are considered to help save costs and reduce carbon emissions. The simulation analysis conducted in this paper indicates that the proposed two-step intelligent control method can help green/flexible EV energy supply stations to optimally allocate energy flows between four subsystems, effectively respond to peak shaving and valley filling of power grid, save energy costs and reduce carbon emissions.

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