Log in

Relevant bibliographies by topics / Energy maximization / Journal articles

To see the other types of publications on this topic, follow the link: Energy maximization.

Journal articles on the topic 'Energy maximization'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Energy maximization.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Lappas, Pelopidas, Robert I. Damper, and John N. Carter. "Object tracking by energy maximization." Soft Computing 10, no. 1 (2005): 20–26. http://dx.doi.org/10.1007/s00500-005-0459-y.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Li, Ze Hong, and Xiang Yu Meng. "The Impact of Effective Expansion around on Energy Enterprise Value." Advanced Materials Research 805-806 (September 2013): 1443–46. http://dx.doi.org/10.4028/www.scientific.net/amr.805-806.1443.

Full text

Abstract:

Financial management objectives have gone through three stages; they were maximization of profit, maximization of shareholders' equity and maximization of enterprise value. At present, the maximization of enterprise value is the most widely used financial management objective. Energy enterprise as the foundation of economic operation, it has economy nature and social nature for social and environmental responsibilities. It is important to weigh the interests of all parties to make energy enterprise value achieve real maximum. In this paper, energy enterprise effectiveness will be expanded, and

APA, Harvard, Vancouver, ISO, and other styles

3

Masood, Zaki, Sokhee Jung, and Yonghoon Choi. "Energy-Efficiency Performance Analysis and Maximization Using Wireless Energy Harvesting in Wireless Sensor Networks." Energies 11, no. 11 (2018): 2917. http://dx.doi.org/10.3390/en11112917.

Full text

Abstract:

Paradigm shift to wireless power transfer provides opportunities for ultra-low-power devices to increase energy storage from electromagnetic (EM) sources. The notable gain occurs when EM sources deliver information as a meaningful signal with power transfer. Thus, energy harvesting (EH) is an active approach to obtain power from surrounding EM sources that transfer energy deliberately. This paper discusses energy efficiency (EE) trade-offs and EE maximization in simultaneous wireless power and information transfer (SWIPT) for wireless sensor networks (WSNs). The power splitting (PS) and time s

APA, Harvard, Vancouver, ISO, and other styles

4

Collado, Edwin, Easton Li Xu, Hang Li, and Shuguang Cui. "Profit maximization with customer satisfaction control for electric vehicle charging in smart grids." AIMS Energy 5, no. 3 (2017): 529–56. http://dx.doi.org/10.3934/energy.2017.3.529.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Slongo, L. K., S. V. Martínez, B. V. B. Eiterer, T. G. Pereira, E. A. Bezerra, and K. V. Paiva. "Energy-driven scheduling algorithm for nanosatellite energy harvesting maximization." Acta Astronautica 147 (June 2018): 141–51. http://dx.doi.org/10.1016/j.actaastro.2018.03.052.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Katiyar, Vivek, Narottam Chand, and Surender Soni. "Lifetime Maximization in Wireless Sensor Networks." International Journal of Wireless Networks and Broadband Technologies 1, no. 2 (2011): 16–29. http://dx.doi.org/10.4018/ijwnbt.2011040102.

Full text

Abstract:

One of the fundamental requirements in wireless sensor networks (WSNs) is to prolong the lifetime of sensor nodes by minimizing the energy consumption. The information about the energy status of sensor nodes can be used to notify the base station about energy depletion in any part of the network. An energy map of WSN can be constructed with available remaining energy at sensor nodes. The energy map can increase the lifetime of sensor networks by adaptive clustering, energy centric routing, data aggregation, and so forth. In this paper, the authors describe use of energy map techniques for WSNs

APA, Harvard, Vancouver, ISO, and other styles

7

Masood, Zaki, Ardiansyah, and Yonghoon Choi. "Energy-Efficient Optimal Power Allocation for SWIPT Based IoT-Enabled Smart Meter." Sensors 21, no. 23 (2021): 7857. http://dx.doi.org/10.3390/s21237857.

Full text

Abstract:

This paper presents an internet of things (IoTs) enabled smart meter with energy-efficient simultaneous wireless information and power transfer (SWIPT) for the wireless powered smart grid communication network. The SWIPT technique with energy harvesting (EH) is an attractive solution for prolonging the battery life of ultra-low power devices. The motivation for energy efficiency (EE) maximization is to increase the efficient use of energy and improve the battery life of the IoT devices embedded in smart meter. In the system model, the smart meter is equipped with an IoT device, which implement

APA, Harvard, Vancouver, ISO, and other styles

8

Kamimura, Ryotaro. "Constrained information maximization by free energy minimization." International Journal of General Systems 40, no. 7 (2011): 701–25. http://dx.doi.org/10.1080/03081079.2010.549486.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Olcay, Gökçen Arkalı. "Book review: Energy, complexity and wealth maximization." Technological Forecasting and Social Change 143 (June 2019): 353–55. http://dx.doi.org/10.1016/j.techfore.2018.04.030.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Nachtigall, Daniel. "Ayres, Robert: Energy, complexity and wealth maximization." Journal of Economics 121, no. 2 (2017): 193–95. http://dx.doi.org/10.1007/s00712-017-0539-3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Coe, Ryan G., and Giorgio Bacelli. "Useful Power Maximization for Wave Energy Converters." Energies 16, no. 1 (2023): 529. http://dx.doi.org/10.3390/en16010529.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Patel, Ruchi. "Maximization of Energy Efficiency and Trade Off of Energy Efficiency." International Journal for Research in Applied Science and Engineering Technology V, no. VIII (2017): 933–38. http://dx.doi.org/10.22214/ijraset.2017.8130.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Guo, Songtao, Yawei Shi, Yuanyuan Yang, and Bin Xiao. "Energy Efficiency Maximization in Mobile Wireless Energy Harvesting Sensor Networks." IEEE Transactions on Mobile Computing 17, no. 7 (2018): 1524–37. http://dx.doi.org/10.1109/tmc.2017.2773067.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Adam, Abuzar B. M., Xiaoyu Wan, and Zhengqiang Wang. "Energy Efficiency Maximization for Multi-Cell Multi-Carrier NOMA Networks." Sensors 20, no. 22 (2020): 6642. http://dx.doi.org/10.3390/s20226642.

Full text

Abstract:

As energy efficiency (EE) is a key performance indicator for the future wireless network, it has become a significant research field in communication networks. In this paper, we consider multi-cell multi-carrier non-orthogonal multiple access (MCMC-NOMA) networks and investigate the EE maximization problem. As the EE maximization is a mixed-integer nonlinear programming NP-hard problem, it is difficult to solve directly by traditional optimization such as convex optimization. To handle the EE maximization problem, we decouple it into two subproblems. The first subproblem is user association, w

APA, Harvard, Vancouver, ISO, and other styles

15

Chen, You Rong, Tiao Juan Ren, Zhang Quan Wang, and Yi Feng Ping. "Lifetime Maximization Routing Based on Genetic Algorithm for Wireless Sensor Networks." Advanced Materials Research 230-232 (May 2011): 283–87. http://dx.doi.org/10.4028/www.scientific.net/amr.230-232.283.

Full text

Abstract:

To prolong network lifetime, lifetime maximization routing based on genetic algorithm (GALMR) for wireless sensor networks is proposed. Energy consumption model and node transmission probability are used to calculate the total energy consumption of nodes in a data gathering cycle. Then, lifetime maximization routing is formulated as maximization optimization problem. The select, crosss, and mutation operations in genetic algorithm are used to find the optimal network lifetime and node transmission probability. Simulation results show that GALMR algorithm are convergence and can prolong network

APA, Harvard, Vancouver, ISO, and other styles

16

Cao, Yang, Ye Zhong, Xiaofeng Peng, and Song Pan. "RETRACTED: Cao et al. Energy Efficiency Maximization for Hybrid Powered 5G Networks with Energy Cooperation. Electronics 2022, 11, 1605." Electronics 13, no. 14 (2024): 2711. http://dx.doi.org/10.3390/electronics13142711.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Liu, Nian, Bin Guo, Zifa Liu, and Yongli Wang. "Distributed Energy Sharing for PVT-HP Prosumers in Community Energy Internet: A Consensus Approach." Energies 11, no. 7 (2018): 1891. http://dx.doi.org/10.3390/en11071891.

Full text

Abstract:

Community Energy Internet (CEI) integrates electric network and thermal network based on combined heat and power (CHP) to improve the economy of energy system in Smart Community. In the CEI, an energy sharing framework for prosumers equipped with photovoltaic-thermal (PVT) system and heat pump (HP) is introduced. Supporting by the PVT and HP, the prosumer has four role attributes with either heat or electricity producer/consumer. A social welfare maximization model is built for the CEI, including PVT-HP prosumers, CHP system, and utility grid. Considering there are multiply participants in the

APA, Harvard, Vancouver, ISO, and other styles

18

Cui, Tiansong, Yanzhi Wang, Shahin Nazarian, and Massoud Pedram. "Profit maximization algorithms for utility companies in an oligopolistic energy market with dynamic prices and intelligent users." AIMS Energy 4, no. 1 (2016): 119–35. http://dx.doi.org/10.3934/energy.2016.1.119.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Wang, Jianling, and Jing Li. "Energy efficiency maximization for IRS-assisted NOMA networks." Physical Communication 52 (June 2022): 101647. http://dx.doi.org/10.1016/j.phycom.2022.101647.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Ashraf, Mateen, Seowoo Kang, and Inkyu Lee. "Harvested Energy Maximization in Wireless Peer Discovery Systems." IEEE Communications Letters 23, no. 5 (2019): 934–37. http://dx.doi.org/10.1109/lcomm.2019.2907940.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Ouyang, Jian, Min Lin, Yulong Zou, Wei-Ping Zhu, and Daniel Massicotte. "Secrecy Energy Efficiency Maximization in Cognitive Radio Networks." IEEE Access 5 (2017): 2641–50. http://dx.doi.org/10.1109/access.2017.2667882.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Lee, Dong Nyung. "Strain energy release maximization model for recrystallization textures." Metals and Materials 5, no. 5 (1999): 401–17. http://dx.doi.org/10.1007/bf03026153.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Nomikos, Nikolaos, Dimitrios N. Skoutas, Demosthenes Vouyioukas, Christos Verikoukis, and Charalabos Skianis. "Capacity Maximization through Energy-Aware Multi-Mode Relaying." Wireless Personal Communications 74, no. 1 (2012): 83–99. http://dx.doi.org/10.1007/s11277-012-0899-5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Yamazaki, K., and J. Han. "Maximization of the crushing energy absorption of tubes." Structural Optimization 16, no. 1 (1998): 37–46. http://dx.doi.org/10.1007/bf01213998.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Khalil, Muhammad I. "Energy Efficiency Maximization of Relay Aerial Robotic Networks." IEEE Transactions on Green Communications and Networking 4, no. 4 (2020): 1081–90. http://dx.doi.org/10.1109/tgcn.2020.3007814.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Shin, Mincheol, Sung Q. Lee, Filippo M. Fazi, et al. "Maximization of acoustic energy difference between two spaces." Journal of the Acoustical Society of America 128, no. 1 (2010): 121–31. http://dx.doi.org/10.1121/1.3438479.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

J, Jaya, and Mary Linda M. "Maximization of Wind Energy Utilization through Facts Devices." International Journal of Engineering Research in Electrical and Electronics Engineering 9, no. 6 (2022): 6–11. http://dx.doi.org/10.36647/ijereee/09.06.a002.

Full text

Abstract:

This paper proposes a method for maximizing capacity of wind generation by best location of FACTs devices. Initially capacities of the connected wind units are determined by industry. A probabilistic approach is applied for the day – ahead planning. It is used to find the maximum deployable wind sources. So that the prescribed wind spillage is not exceeded. This is done using the optimum power flow. Further it can be improved by installing FACTS devices. FACTS devices are used to enhance AC system controllability, stability and increase power transfer capability. Two ranking list are developed

APA, Harvard, Vancouver, ISO, and other styles

28

Yang, Changpeng, Jianfeng Mao, and Peng Wei. "Air traffic network optimization via Laplacian energy maximization." Aerospace Science and Technology 49 (February 2016): 26–33. http://dx.doi.org/10.1016/j.ast.2015.11.004.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Bai, Q., and J. A. Nossek. "Energy efficiency maximization for 5G multi-antenna receivers." Transactions on Emerging Telecommunications Technologies 26, no. 1 (2014): 3–14. http://dx.doi.org/10.1002/ett.2892.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Cao, Yang, Ye Zhong, Xiaofeng Peng, and Song Pan. "Energy Efficiency Maximization for Hybrid-Powered 5G Networks with Energy Cooperation." Electronics 11, no. 10 (2022): 1605. http://dx.doi.org/10.3390/electronics11101605.

Full text

Abstract:

The extensive deployment of 5G cellular networks causes increased energy consumption and interference in systems, and to address this problem, this paper investigates the optimization problem of joint energy harvesting and energy cooperation to maximize energy efficiency (EE). First, considering user equipment (UE) quality of service (QoS) constraints, cellular base station power constraints, and renewable energy harvesting constraints, we construct a mixed-integer nonlinear programming problem for joint resource allocation. This problem is difficult to solve directly, thus we combine the fixe

APA, Harvard, Vancouver, ISO, and other styles

31

Liu, Tao, Xiaomei Qu, Feng Yin, and Yaxi Chen. "Energy Efficiency Maximization for Wirelessly Powered Sensor Networks With Energy Beamforming." IEEE Communications Letters 23, no. 12 (2019): 2311–15. http://dx.doi.org/10.1109/lcomm.2019.2942920.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Wang, Zhongyu, Yashuai Cao, Zheng Chang, Tiejun Lv, and Wei Ni. "Energy efficiency maximization in UAV communication networks with nonlinear energy harvesting." Computer Networks 241 (March 2024): 110222. http://dx.doi.org/10.1016/j.comnet.2024.110222.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Wu, Xinyu, Yiyang Wu, and Qilin Ying. "Research on Dynamic Programming Game Model for Hydropower Stations." Mathematical Problems in Engineering 2022 (August 17, 2022): 1–11. http://dx.doi.org/10.1155/2022/1458388.

Full text

Abstract:

In the condition of the electricity market, the benefit is the result of market gaming for hydropower stations with price-making ability. The traditional energy maximization model is not appropriate in this circumstance. To study long-term operation variation in the market, a dynamic programming game model of hydropower stations is proposed to obtain a Nash equilibrium solution in long-term time series. A dynamic programming algorithm iteratively solves the model. The proposed approach is applied to hydropower stations of Longtan, Xiaowan, and Goupitan in a hypothetical pure hydropower market.

APA, Harvard, Vancouver, ISO, and other styles

34

Alemany, Juan, Fernando Magnago, Pio Lombardi, Bartlomiej Arendarski, and Przemyslaw Komarnicki. "Multiobjective Optimization Model for Wind Power Allocation." Mathematical Problems in Engineering 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/1876934.

Full text

Abstract:

There is an increasing need for the injection to the grid of renewable energy; therefore, to evaluate the optimal location of new renewable generation is an important task. The primary purpose of this work is to develop a multiobjective optimization model that permits finding multiple trade-off solutions for the location of new wind power resources. It is based on the augmented ε-constrained methodology. Two competitive objectives are considered: maximization of preexisting energy injection and maximization of new wind energy injection, both embedded, in the maximization of load supply. The re

APA, Harvard, Vancouver, ISO, and other styles

35

Biradar, Vijayalaxmi. "Optimized Solar Potential Maximization Model for Improved Power Stability in Photovoltaic systems." E3S Web of Conferences 540 (2024): 04001. http://dx.doi.org/10.1051/e3sconf/202454004001.

Full text

Abstract:

The power stability in power distribution systems are well studied. There exist numbers of models towards maintaining the power stability which consider the residual energy of PV systems. However, there are not efficient in maintaining the power stability and suffer to achieve higher efficiency in potential maximization. Towards maintaining higher potential maximization, an efficient Optimized Solar Potential Maximization Model (OSPMM) is presented in this article. The model considers the factors like Mean Voltage Generation, Mean Voltage Supply and Residual Voltage as the key in the selection

APA, Harvard, Vancouver, ISO, and other styles

36

Saad, João Carlos Cury, and Evanize Rodrigues Castro. "WATER AND ENERGY SAVINGS IN MICROIRRIGATION SYSTEMS DESIGN USING OPTIMIZATION MODELS." International Journal for Innovation Education and Research 8, no. 6 (2020): 394–417. http://dx.doi.org/10.31686/ijier.vol8.iss6.2434.

Full text

Abstract:

The main disadvantage of trickle irrigation systems is its comparatively high initial cost, which depends on the layout, design, and management of its hydraulic network. Designing the sub-main and lateral lines aiming the emitter uniformity maximization can reduce the microirrigation system costs. This research aimed to compare linear and nonlinear programming models and maximization versus minimization criteria to optimize the crop net benefit, considering the water and energy savings. Two versions of LP and NLP models were developed: the first minimized the equivalent annual cost of the irri

APA, Harvard, Vancouver, ISO, and other styles

37

Lu, Guangyue, Chan Lei, Yinghui Ye, Liqin Shi, and Tianci Wang. "Energy Efficiency Optimization for AF Relaying with TS-SWIPT." Energies 12, no. 6 (2019): 993. http://dx.doi.org/10.3390/en12060993.

Full text

Abstract:

In this paper, we focus on energy efficiency (EE) maximization for simultaneous wireless information and power transfer (SWIPT) based energy-constrained and amplify-and-forward (AF) relay networks. We adopt low-complexity time-switching (TS) protocol to realize SWIPT at the energy-constrained relay node, and formulate an EE maximization problem in which TS factor and transmit power control are needed to be jointly optimized. Since the formulated problem is non-convex and difficult to solve, we propose an algorithm combining fractional programming and alternating convex optimization to optimize

APA, Harvard, Vancouver, ISO, and other styles

38

Xiao, He, Hong Jiang, Li-Ping Deng, Ying Luo, and Qiu-Yun Zhang. "Outage Energy Efficiency Maximization for UAV-Assisted Energy Harvesting Cognitive Radio Networks." IEEE Sensors Journal 22, no. 7 (2022): 7094–105. http://dx.doi.org/10.1109/jsen.2022.3154801.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Choi, Tae-Il. "Maximization of Energy Saving through the Integrated Management of Different Energy Resources." Transactions of The Korean Institute of Electrical Engineers 68, no. 8 (2019): 1005–10. http://dx.doi.org/10.5370/kiee.2019.68.8.1005.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Wu, Yan, Qinghai Yang, and Kyung Sup Kwak. "Energy Efficiency Maximization for Energy Harvesting Millimeter Wave Systems at High SNR." IEEE Wireless Communications Letters 6, no. 5 (2017): 698–701. http://dx.doi.org/10.1109/lwc.2017.2734087.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Frank, Michael, Borys Ioshchikhes, Oskay Ozen, and Matthias Weigold. "Algorithmic Maximization of Energy Productivity to Increase Energy Savings in Production Processes." Procedia CIRP 134 (2025): 103–8. https://doi.org/10.1016/j.procir.2025.03.009.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Janečka, Adam, and Michal Pavelka. "Gradient Dynamics and Entropy Production Maximization." Journal of Non-Equilibrium Thermodynamics 43, no. 1 (2018): 1–19. http://dx.doi.org/10.1515/jnet-2017-0005.

Full text

Abstract:

AbstractWe compare two methods for modeling dissipative processes, namely gradient dynamics and entropy production maximization. Both methods require similar physical inputs–-how energy (or entropy) is stored and how it is dissipated. Gradient dynamics describes irreversible evolution by means of dissipation potential and entropy, it automatically satisfies Onsager reciprocal relations as well as their nonlinear generalization (Maxwell–Onsager relations), and it has statistical interpretation. Entropy production maximization is based on knowledge of free energy (or another thermodynamic potent

APA, Harvard, Vancouver, ISO, and other styles

43

Niu, Haibin, Xinyu Zhao, Liming Hou, and Dongjun Ma. "Energy Efficiency Maximization for UAV-Assisted Emergency Communication Networks." Wireless Communications and Mobile Computing 2021 (August 17, 2021): 1–15. http://dx.doi.org/10.1155/2021/7595347.

Full text

Abstract:

Using unmanned aerial vehicles (UAVs) in emergency communications is a promising technology because of their flexible deployment, low cost, and high mobility. However, due to the limited energy of the onboard battery, the service duration of the UAV is greatly limited. In this paper, we study an emerging energy-efficient UAV emergency network, where a UAV works as an aerial base station to serve a group of users with different statistical quality-of-service (QoS) constraints in the downlink. In particular, the energy efficiency of the UAV is defined as the sum effective capacity of the downlin

APA, Harvard, Vancouver, ISO, and other styles

44

Keti, Faris, Salih M. Atroshey, and Jalil A. Hamadamin. "Spectral and energy efficiencies maximization in downlink NOMA systems." Bulletin of Electrical Engineering and Informatics 11, no. 3 (2022): 1449–59. http://dx.doi.org/10.11591/eei.v11i3.3654.

Full text

Abstract:

Due to the huge connectivity and ever-growing demands of diverse services and high data rate applications, more effective radio access techniques are required for the next generation wireless systems. Non-orthogonal multiple access (NOMA) is a promising candidate which has been recognized as an effective multiple access technique that notably improves the spectral efficiency (SE). In addition to SE, energy efficiency (EE) is also attracting too much interest nowadays due to the limited power of end users (EU) and internet of things (IoT) devices, and the strict environmental concerns related t

APA, Harvard, Vancouver, ISO, and other styles

45

Mohamed, Ahmed A. Raouf, Robert J. Best, Xueqin Liu, and D. John Morrow. "Single electricity market forecasting and energy arbitrage maximization framework." IET Renewable Power Generation 16, no. 1 (2021): 105–24. http://dx.doi.org/10.1049/rpg2.12345.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

XU, You, Yunzhou LI, Ming ZHAO, and Hongxing ZOU. "Throughput and Energy Efficiency Maximization for Cognitive Relay System." IEICE Transactions on Communications E95.B, no. 1 (2012): 226–33. http://dx.doi.org/10.1587/transcom.e95.b.226.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Yang, Zhou, Wenqian Jiang, and Gang Li. "Resource Allocation for Green Cognitive Radios: Energy Efficiency Maximization." Wireless Communications and Mobile Computing 2018 (July 5, 2018): 1–16. http://dx.doi.org/10.1155/2018/1327030.

Full text

Abstract:

Green cognitive radios are promising in future wireless communications due to high energy efficiency. Energy efficiency maximization problems are formulated in delay-insensitive green cognitive radio and delay-sensitive green cognitive radio. The optimal resource allocation strategies for delay-insensitive green cognitive radio and delay-sensitive green cognitive radio are designed to maximize the energy efficiency of the secondary user. The peak interference power and the average/peak transmit power constraints are considered. Two algorithms based on the proposed resource allocation strategie

APA, Harvard, Vancouver, ISO, and other styles

48

LIU, Jun, Hongbo XU, and Aizi ZHOU. "Beamforming Design for Energy Efficiency Maximization in MISO Channels." IEICE Transactions on Communications E99.B, no. 5 (2016): 1189–95. http://dx.doi.org/10.1587/transcom.2015ebp3397.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Wu, Qingqing, Wen Chen, Derrick Wing Kwan Ng, Jun Li, and Robert Schober. "User-Centric Energy Efficiency Maximization for Wireless Powered Communications." IEEE Transactions on Wireless Communications 15, no. 10 (2016): 6898–912. http://dx.doi.org/10.1109/twc.2016.2593440.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Tan, Jinghong, Qi Zhang, Tony Q. S. Quek, and Hyundong Shin. "Robust Energy Efficiency Maximization in Multicast Downlink C-RAN." IEEE Transactions on Vehicular Technology 68, no. 9 (2019): 8951–65. http://dx.doi.org/10.1109/tvt.2019.2930723.

Full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!