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Published: 10 March 2023

Last updated: 11 March 2023

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1

Stańczak, Sławomir, Marcin Wiczanowski, and Holger Boche. Resource Allocation in Wireless Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11818762.

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2

Gasior, Dariusz. Resource Allocation for Software Defined Networks. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59098-7.

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3

Gao, Xiaozheng, Kai Yang, Dusit Niyato, and Shimin Gong. Resource Allocation in Backscatter-Assisted Communication Networks. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5127-4.

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4

Stanczak, Slawomir, Marcin Wiczanowski, and Holger Boche. Fundamentals of Resource Allocation in Wireless Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-79386-1.

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5

Parsaeefard, Saeedeh, Ahmad Reza Sharafat, and Nader Mokari. Robust Resource Allocation in Future Wireless Networks. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50389-9.

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6

Wei, Li, and Pan Yi 1960-, eds. Resource allocation in next generation wireless networks. New York: Nova Science Publishers, 2005.

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7

Djukic, Petar. Optimum resource allocation in multipath ad hoc networks. Ottawa: National Library of Canada, 2003.

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8

Shajaiah, Haya, Ahmed Abdelhadi, and Charles Clancy. Resource Allocation with Carrier Aggregation in Cellular Networks. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-60540-1.

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9

Marasevic, Jelena Rajko. Resource Allocation in Wireless Networks: Theory and Applications. [New York, N.Y.?]: [publisher not identified], 2016.

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10

Han, Zhu. Resource allocation for wireless networks: Basics, techniques, and applications. New York: Cambridge University Press, 2008.

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11

Curescu, Călin. Utility-based optimisation of resource allocation for wireless networks. Linköping: Linköpings universitet, 2005.

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12

Verma, Sanjeev. Multicast routing and resource allocation for high-speed networks. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1998.

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13

Han, Zhu. Resource allocation for wireless networks: Basics, techniques, and applications. New York: Cambridge University Press, 2008.

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14

Birand, Berk. Cross-layer resource allocation in wireless and optical networks. [New York, N.Y.?]: [publisher not identified], 2015.

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15

Stańczak, Sławomir. Fundamentals of resource allocation in wireless networks: Theory and algorithms. 2nd ed. Dordrecht: Springer, 2009.

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16

Fernando, Xavier, Ajmery Sultana, Sattar Hussain, and Lian Zhao. Cooperative Spectrum Sensing and Resource Allocation Strategies in Cognitive Radio Networks. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-73957-1.

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17

Ansari, Nirwan. Media Access Control and Resource Allocation: For Next Generation Passive Optical Networks. New York, NY: Springer New York, 2013.

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18

Oded, Berman, ed. Operations management of distributed service networks: A practical quantitative approach. New York: Plenum Press, 1988.

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19

W, Wenzel George, Hovelsrud-Broda Grete, Kishigami Nobuhiro 1958-, Kokuritsu Minzokugaku Hakubutsukan, and International Conference on Hunting and Gathering Societies (8th : 1998 : National Museum of Ethnology, Osaka, Japan)., eds. The social economy of sharing: Resource allocation and modern hunter-gatherers. Osaka: National Museum of Ethnology, 2000.

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20

Kakhbod, Ali. Resource Allocation in Decentralized Systems with Strategic Agents: An Implementation Theory Approach. New York, NY: Springer New York, 2013.

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21

1971-, Chen Huan, ed. Radio resource management for multimedia QoS support in wireless networks. Boston: Kluwer Academic Publishers, 2004.

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22

National Economic and Social Council., ed. Sustaining competitive advantage: Proceedings of a NESC seminar. Dublin: N.E.S.C., 1998.

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23

Facebook fairytales: Modern-day miracles to inspire the human spirit. New York: Skyhorse Pub., 2010.

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24

Liebert, Emily. Facebook fairytales: Modern-day miracles to inspire the human spirit. New York: Skyhorse Pub., 2010.

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25

J, Adams Roy. Decision support systems in academic libraries. Wetherby, West Yorkshire: British Library, 1991.

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26

Korolev, Oleg, Mihail Kussyy, Anatoliy Sigal, Veniamin Livshic, and Evgeniy Solozhencev. The use of entropy in modeling decision-making processes in economics. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1865188.

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The monograph is devoted to the study of entropy, the history of this general scientific category, the development of its theory, various aspects of the application of entropy. Entropy — a measure of chaos — is one of the basic concepts of modern natural science. Having arisen in thermodynamics in the first half of the XIX century, the concept of entropy has found numerous applications in many branches of knowledge, including in other branches of physics, engineering, computer science, biology, economics, social sciences. Particular attention is paid to the evolution of views on the concept of entropy, various aspects of the use of entropy for modeling processes in financial markets, the methodology of recurrent analysis of time series in economics, as well as various aspects of the use of entropy for game-theoretic modeling of resource allocation processes. It will be useful to specialists in mathematical modeling, scientists and practitioners specializing in managerial decision-making, teachers, graduate students, students.

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27

Resource Allocation in Multiuser Multicarrier Wireless Systems. Springer, 2007.

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28

Georgiadis, Leonidas, Mike Neely, and Leandros Tassiulas. Resource Allocation and Cross Layer Control in Wireless Networks (Foundations and Trends in Networking, V. 1, No. 1). Now Publishers Inc, 2006.

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29

Hospitals in Integrated Health Service Delivery Networks: Strategic Recommendations. Pan American Health Organization, 2021. http://dx.doi.org/10.37774/9789275120040.

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In 2007, PAHO launched the Integrated Health Service Delivery Network (IHSDN) initiative to address the problems derived from the fragmentation of health services and to overcome the structural problems stemming from the widespread segmentation of health systems in the countries of the Region. In the IHSDN initiative, hospitals are an aggregate of specialized institutions that support a highly effective first level of care. Hospitals themselves are defragmented, which is theoretically correct, innovative, and even visionary. However, the IHSDN initiative does not seek to diminish the influence of hospitals in the health system or the importance of their role, but to integrate these institutions so that all their efforts are aligned with the needs of the people and communities they serve through the development of IHSDNs. It is obvious that without hospitals there can be no IHSDNs; however, it should also be recognized that without effective networks, hospitals cannot do their job. The IHSDN initiative presents a change in the role assigned to hospitals, in which they are no longer considered the apex of a pyramid in which the hierarchy is based on specialization to successfully treat disease. Instead, the hospital becomes a very important participant in a service organized as a network, performing specific tasks in a series of processes that cut repeatedly across the health service delivery network and include the participation of individuals and communities. The product of an intense debate and joint effort, this work contains a series of proposals in the six areas considered a priority for developing the new role of hospitals in IHSDNs: governance, resource allocation and incentives, the model of care, technology and infrastructure, human resources, and organization and management.

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30

Halgamuge, Malka N. Resource Allocation in Wireless Networks: Cellular and Sensor Networks. LAP Lambert Academic Publishing, 2009.

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31

Parsaeefard, Saeedeh, Ahmad Reza Sharafat, and Nader Mokari. Robust Resource Allocation in Future Wireless Networks. Springer, 2018.

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32

Yang, Kai, Dusit Niyato, Shimin Gong, and Xiaozheng Gao. Resource Allocation in Backscatter-Assisted Communication Networks. Springer Singapore Pte. Limited, 2021.

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33

Parsaeefard, Saeedeh, Ahmad Reza Sharafat, and Nader Mokari. Robust Resource Allocation in Future Wireless Networks. Springer International Publishing AG, 2017.

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34

Wang, Shaowei. Cognitive Radio Networks: Dynamic Resource Allocation Schemes. Springer London, Limited, 2014.

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35

Cognitive Radio Networks: Dynamic Resource Allocation Schemes. Springer, 2014.

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36

Han, Zhu, Lin X. Cai, Huaqing Zhang, and Sami Khairy. Resource Allocation in Unlicensed Long Term Evolution HetNets. Springer, 2017.

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37

Le-Ngoc, Tho, Saeedeh Parsaeefard, Mahsa Derakhshani, and Rajesh Dawadi. Virtualized Wireless Networks: User Association and Resource Allocation. Springer, 2017.

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38

Boche, Holger, Slawomir Stanczak, and Marcin Wiczanowski. Resource Allocation in Wireless Networks: Theory and Algorithms. Springer London, Limited, 2006.

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39

Liu, K. J. Ray, and Zhu Han. Resource Allocation for Wireless Networks: Basics, Techniques, and Applications. Cambridge University Press, 2008.

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40

Vannithamby, Rathneswaran. Resource allocation schemes for high speed wireless access networks. 2001.

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41

Liu, K. J. Ray, and Zhu Han. Resource Allocation for Wireless Networks: Basics, Techniques, and Applications. Cambridge University Press, 2008.

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42

Yi, Qian, Jianhua Lu, Chunxiao Jiang, and Linling Kuang. Terrestrial-Satellite Communication Networks: Transceivers Design and Resource Allocation. Springer, 2017.

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43

Wang, Jingjing, and Chunxiao Jiang. Flying Ad Hoc Networks: Cooperative Networking and Resource Allocation. Springer Singapore Pte. Limited, 2022.

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44

Yi, Qian, Jianhua Lu, Chunxiao Jiang, and Linling Kuang. Terrestrial-Satellite Communication Networks: Transceivers Design and Resource Allocation. Springer, 2018.

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45

Liu, K. J. Ray, and Zhu Han. Resource Allocation for Wireless Networks: Basics, Techniques, and Applications. Cambridge University Press, 2012.

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46

Liu, K. J. Ray, and Zhu Han. Resource Allocation for Wireless Networks: Basics, Techniques, and Applications. Cambridge University Press, 2009.

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47

Liu, K. J. Ray, and Zhu Han. Resource Allocation for Wireless Networks: Basics, Techniques, and Applications. Cambridge University Press, 2008.

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48

Singhal, Chetna, and Swades De. Resource Allocation in Next-Generation Broadband Wireless Access Networks. IGI Global, 2017.

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49

Optimal Resource Allocation In Coordinated Multicell Systems. now publishers Inc, 2013.

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50

Boche, Holger, Slawomir Stanczak, and Marcin Wiczanowski. Fundamentals of Resource Allocation in Wireless Networks: Theory and Algorithms. Springer, 2011.

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