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I We describe a multi-dimensional model for fusion of activity based intelligence (ABI) hypothesis-driven evidence through optimal sensor management. We determine decision-making strategies based upon ability to perform data mining and pattern discovery utilizing open source, actionable information to prepare for specific events or situations from multiple information sources. Our solution is based...
Recently, game theory has been proposed as a tool for cooperative control. Specifically, the interactions of a multi-agent distributed system are modeled as a non-cooperative game where agents are self-interested. In this work, we prove that this approach of non-cooperative control has limitations with respect to engineering multi-agent systems. In particular, we prove that it is not possible to design...
This article is mainly about how to allocate scarce resources efficiently in network service, to enable network resources meeting the demand as far as possible, and improving the social welfare of user groups. Considering the user's credit and waiting time for allocating resources, we propose a user welfare function and establish a common network resource allocation mechanism which integrates combinatorial...
In the context of multiple emergencies occurring simultaneously, the optimal allocation of relief resources to multiple emergency locations is a challenging issue in emergency management. This work presents a noncooperative complete information game model for resource allocation and an algorithm for calculating Nash equilibrium (NE). In this model, the players represent the multiple emergency locations,...
First, a quantized progressive second price (PSP) auction mechanism called the Unique Limit Quantized - PSP (UQ-PSP) is presented for the allocation of fixed or timevarying quantities of a resource among arbitrary populations of agents. It is shown that (i) the states (i.e. bid prices and quantities) of the corresponding iterative dynamical auction system converge to a unique quantized (Nash) equilibrium...
We develop a framework to study differentiated services when there are competing network providers. We adopt a multi-class queueing model, where providers post prices for various service classes. Traffic is elastic and users are Quality of Service (QoS)-sensitive, and choose a queue and a class with one of the providers. We model the relationship between capacity, QoS and prices offered by service...
This paper studies fair resource allocation schemes for orthogonal frequency-division multiple-access (OFDMA) with the decode-and-forward relaying strategy. To satisfy the heterogenous rate requirement of each user while considering the fairness and efficiency as performance indices, the bargaining theory is applied to allocate resource at a relay node to multiple source nodes. Motivated by the fact...
Based on discussing collaborative management of supply chain enterprises, this paper broke through the inequality between responsibility and benefits distribution in the traditional supply chain enterprises, and established a new model of benefits distribution about collaborative supply chain enterprises, which is based on Nash equilibrium and Game Theory. In this new model, many factors such as the...
In this paper, we consider the problem of measurement allocation in a spatially correlated sensor field. Our objective is to determine the probability of each sensor's being measured for improved observability; the sensor located at less correlated area should be assigned more probability. To this end, we quantify the level of correlation of each sensor through the mutual information criterion reflecting...
How to allocate the profits from cooperative purchasing is a key factor to the formation and maintaining of aconsortium. In this paper, according to the characteristics of joint procurement. Established a cooperative game model-Union game model o Analysised several methods based on cooperative game theory of the distribution of benefits. According to the model of Heijboer and Fredo Schotanus. Explored...
In this paper, a distributed power control algorithm is proposed to perform adaptive spatial multiplexing for the relay enhanced orthogonal frequency division multiple access (OFDMA) cellular systems. As the optimal spatial multiplexing problem is non-convex, we utilize the distributed iteration method to achieve its near-optimal solution. By determining the restriction on the transmit power for each...
A two-user decision making game is studied in the OFDM based subscriber cooperative relaying network, in which subscribers transmit their own data in the first phase, while helping to retransmit their partner's or choosing to freeride in the second phase. In the paper, we study a hierarchical game (HG) for a two user coalition, where cooperation is preferred and total payoff is transferable. Instead...
The problems of resource allocation and the characterization of cooperative behavior in a two-user fading multiple-access channel (MAC) in the presence of uncertainty about the channel state information at the transmitters (CSIT) are considered. Game-theoretic techniques are used to characterize cooperative behavior and obtain the system operation point from an individualistic perspective. A two-user...
We study a problem where wireless service providers compete for heterogenous and atomic (non-infinitesimal) wireless users. The users differ in their utility functions as well as in the perceived quality of service of individual providers. We model the interaction of an arbitrary number of providers and users as a two-stage multi-leader-follower game, and prove existence and uniqueness of the subgame...
To settle the contradiction between scarce radio spectrum resource and the exigent requirement, effective methods of dynamic spectrum allocation are proposed in cognitive radio system. In this paper, game theory model and graph-coloring model are analyzed, which can improve spectrum efficiency and solve the deficiency of spectrum resource.
We allocate power to maximise ldquosocial benefitrdquo in the uplink of a CDMA cell populated by data terminals, each with its own data rate, channel gain, willingness to pay (wtp), and link-layer configuration, and with energy supplies that are limited for some, and inexhaustible for others. For both types, appropriate performance indices are specified. The social optimum can be achieved distributively...
Group decision that multi-interest agents take part in is an important method, which can promote the democratization and scientific process in the water resources allocation. And the weight of multi-interest agents play an important part in the efficiency of group decision. This paper proposes a method of modifying weight based on similarity measures of intuitionistic fuzzy matrix after multi-interest...
We consider the decentralized bandwidth/rate allocation problem in unicast service provisioning with strategic users. We present a mechanism/game form that has the following desirable features. (1) It implements in Nash equilibria the solution of the corresponding centralized rate allocation problem in unicast service provisioning. (2) It is individually rational. (3) It is budget-balanced at all...
We consider a scenario in which two sources exchange stochastically varying traffic with the aid of a bidirectional relay that may perform network coding over the incoming packets. Each relay use incurs a unit cost, e.g., transmission energy. This cost is shared between the sources when packets from both are transmitted via network coding; if traffic from a single source is sent, the cost is passed...
This paper investigates the properties of social choice functions, that represent resource allocation strategies in interference coupled wireless systems. The resources can be physical layer parameters such as power vectors or antenna weights. The paper investigates the permissible social choice functions, which can be implemented by a mechanism in either Nash equilibria or dominant strategy - for...
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