Spectral and Energy Efficient D2D Communication Underlay 5G Networks: A Mixed Strategy Approach

4G is now deployed all over the world, but requirements are about to change rapidly face to the exponential growth on devices number, local service applications and spectrum scarce. To deal with that, 5G networks integrated Device To Device (D2D) communication as a key technology in its evolving architecture. From 3GPP Rel-12 to Rel-16, D2D succeeded to improve network capacity by enhancing spectrum reuse, data rates and reducing end-to-end latency. However, despite all these advantages, it implies new challenges in 5G system design as interference, spectrum and energy consumption. As a contribution, we propose in this paper a joint spectrum and energy efficient resource allocation algorithm for D2D communications. This approach maximizes the total spectrum efficiency and reduces UEs power consumption. Contrarily to most of previous studies on resource allocation problems considering only centralized and pure strategies approaches, we propose a distributed algorithm based on new mathematical game theory model as an interpretation of mixed strategy non cooperative game. We extend our previous research, by focusing on power consumption issue. Our proposed solution enhances joint SE/EE tradeoff by minimizing interferences and power consumption via a smart RB allocation. This new approach allows users to adopt more accurate strategies and maximize their utilities according to the random network behavior

Strategic Resource Allocation: Selecting Vessels to Support Maritime Irregular Warfare

The article of record as published may be found at http://dx.doi.org/10.5711/1082598318321The US Navy is at a critical juncture in determining the types and numbers of ships it will acquire, retire, and sustain to support an evolving US military strategy. In addition to determining how many aircraft carriers, cruisers, amphibious assault craft, fighters, and helicopters it will need, the Navy must determine how it will confront maritime irregular warfare. Assuming an environment of resource scarcity, where new vessel acquisition to support maritime irregular warfare may be increasingly difficult or unlikely, we introduce a method for evaluating the capability and costs of candidate vessels that are in the current Department of Defense inventory, or widely available from the commercial sector to conduct such a mission. Our method combines wargaming with cost analysis to aid Navy leadership in developing maritime irregular warfare concepts of operation as well as resource allocation decisions.RAND CorporationAcquisition Research ProgramRAND CorporationAcquisition Research Progra

Game-Theoretic Approaches to Optimal Resource Allocation and Defense Strategies in Herbaceous Plants

Empirical evidence suggests that the attractiveness of a plant to herbivores can be affected by the investment in defense by neighboring plants, as well as investment in defense by the focal plant. Thus, allocation to defense may not only be influenced by the frequency and intensity of herbivory but also by defense strategies employed by other plants in the environment. We incorporate a neighborhood defense effect by applying spatial evolutionary game theory to optimal resource allocation in plants where cooperators are plants investing in defense and defectors are plants that do not. We use a stochastic dynamic programming model, along with ideas from game theory, to examine how defense strategies and maintenance costs influence population outcomes in herbaceous plants. When herbivory is modeled as isotropic across space with defense modeled directly as a public good, our model predicts an evolutionarily stable proportion of cooperators and defectors (mixed stable strategy), but the proportion of cooperators is higher in a population of perennial plants than in a population of annual plants. We also show that including a metabolic cost of maintaining stored resources does not change the proportion of cooperators but does decrease plant fitness and allocation to overwinter storage. Then, we compare the outcomes when we incorporate an individual-based model for the herbivore population and allow the herbivores to move between plants. In this case, defense is only a neighborhood benefit, and this approach yields the possibility of a population evolving to consist of only cooperators or only defectors (pure stable strategy), as well as the possibility of a mixed stable strategy. We show that our model offers a theoretical explanation for the neighborhood effect seen in empirical evidence

Game-Theoretic Approaches to Optimal Resource Allocation and Defense Strategies in Herbaceous Plants

Empirical evidence suggests that the attractiveness of a plant to herbivores can be affected by the investment in defense by neighboring plants, as well as investment in defense by the focal plant. Thus, allocation to defense may not only be influenced by the frequency and intensity of herbivory but also by defense strategies employed by other plants in the environment. We incorporate a neighborhood defense effect by applying spatial evolutionary game theory to optimal resource allocation in plants where cooperators are plants investing in defense and defectors are plants that do not. We use a stochastic dynamic programming model, along with ideas from game theory, to examine how defense strategies and maintenance costs influence population outcomes in herbaceous plants. When herbivory is modeled as isotropic across space with defense modeled directly as a public good, our model predicts an evolutionarily stable proportion of cooperators and defectors (mixed stable strategy), but the proportion of cooperators is higher in a population of perennial plants than in a population of annual plants. We also show that including a metabolic cost of maintaining stored resources does not change the proportion of cooperators but does decrease plant fitness and allocation to overwinter storage. Then, we compare the outcomes when we incorporate an individual-based model for the herbivore population and allow the herbivores to move between plants. In this case, defense is only a neighborhood benefit, and this approach yields the possibility of a population evolving to consist of only cooperators or only defectors (pure stable strategy), as well as the possibility of a mixed stable strategy. We show that our model offers a theoretical explanation for the neighborhood effect seen in empirical evidence. Advisors: Richard Rebarber and Brigitte Tenhumber

Resource allocation and scheduling of multiple composite web services in cloud computing using cooperative coevolution genetic algorithm

In cloud computing, resource allocation and scheduling of multiple composite web services is an important and challenging problem. This is especially so in a hybrid cloud where there may be some low-cost resources available from private clouds and some high-cost resources from public clouds. Meeting this challenge involves two classical computational problems: one is assigning resources to each of the tasks in the composite web services; the other is scheduling the allocated resources when each resource may be used by multiple tasks at different points of time. In addition, Quality-of-Service (QoS) issues, such as execution time and running costs, must be considered in the resource allocation and scheduling problem. Here we present a Cooperative Coevolutionary Genetic Algorithm (CCGA) to solve the deadline-constrained resource allocation and scheduling problem for multiple composite web services. Experimental results show that our CCGA is both efficient and scalable

Developing the Strategies for Implementation of Collaborative Alliance in the Extractive Field

We developed the matrix of strategies for implementing the mechanism of collaborative alliances between the state and the extractive enterprises for the creation of social responsibility in the natural resource extraction. The matrix of strategies consists of blocks and is divided by levels of willingness to cooperate within the collaborative alliances in the field of natural resources. The synergy effect of common strategies of alliances increases with the balance of these strategies, which reflects the directions of its activities. Some areas of activity are effectively implemented when the functional and resource strategies are coordinated and adapted to each other and to the strategies of innovation and basic level. The coordination between the strategies minimizes risks, engages collaborative partners, creates innovative products and services, and implements socially-oriented policies in the mining regions. The result has showed that the potential for implementing the proposed strategies is very high, but it is necessary to specify the risks when coordinating the interests of all alliance participants for each mining region, as the formation of a "block of strategies" depends on the risks identified in a specific region

Adaptive Boolean Networks and Minority Games with Time--Dependent Capacities

In this paper we consider a network of boolean agents that compete for a limited resource. The agents play the so called Generalized Minority Game where the capacity level is allowed to vary externally. We study the properties of such a system for different values of the mean connectivity $K$ of the network, and show that the system with K=2 shows a high degree of coordination for relatively large variations of the capacity level.Comment: 4 pages, 4 figure

Advancing Strategy: How to Lead Change in Corporate Societal Engagement

Implementing a strategy may be even harder than developing it. This learning brief is intended for corporate foundation and CSR leaders who have completed an initial strategy refresh process and who seek effecitve practices and tools to advance this strategy. In our experience advising more than 100 multinational companie, effective leaders facilitate structured, data-informed decisions and enable important organizational improvements to achieve their strategic objectives. Specifically, advancing strategy in corporate societal engagement typically requires leading change in two major areas of the overall portfolio: designing a signative initiative and transforming local giving