In this paper, a third-generation universal mobile telecommunications system (UMTS) solution for the delivery of biomedical information from an ambulance to a hospital is presented. The joint transmission of voice, real-time video, electrocardiogram signals, and medical scans in a realistic cellular multiuser simulation environment is considered, taking into account the advantages and particularities of UMTS technology for such transmission. The accomplishment of quality of service constraints for different services is investigated and quantitative results are provided in order to demonstrate the feasibility of using UMTS technology for emergency care services on high-speed moving ambulance vehicles.

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We focus on the problem of managing a shared physical wireless sensor network (WSN) where a single network infrastructure provider leases the physical resources of the networks to application providers to run/deploy specific applications/services. In this scenario, we solve jointly the problems of application admission control (AAC), that is, whether to admit the application/service to the physical network, and wireless sensor network slicing (SNS), that is, to allocate the required physical resources to the admitted applications in a transparent and effective way. We propose a mathematical programming framework to model the joint AAC-SNS problem which is then leveraged to design effective solution algorithms. The proposed framework is thoroughly evaluated on realistic WSNs infrastructures.

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Presented is a game theoretic solution for joint channel and power allocation in cognitive radio networks. This issue has been previously addressed, but the proposed games assume a global knowledge of the players' strategies, which make the solution not scalable. In contrast, here the problem is formulated as a potential game only requiring local information. The obtained results are compared with a metaheuristic genetic algorithm to show the correctness of the proposal.Introduction: Cognitive radio networks (CRNs) are based on cognitive devices [1] which are able to reconfigure their transmission parameters (frequency band, power, waveforms) depending on the environment conditions. This feature enables one to perform efficient opportunistic spectrum access to unlicensed bands or to spectral holes in the licensed ones. Game theory is a mathematical tool that analyses the strategic interactions among multiple decision makers. Since cognitive users make intelligent decisions and they may act selfishly, recently there has been an increasing interest in analysing these behaviours from a game theoretic perspective [2]. One of the main problems for the cognitive users is the selection of both frequency channel and transmission power according to their environment conditions. This issue has been already tackled from the perspective of game theory [3][4][5], assuming that each user has global information of all the remaining users in the network. This implies very high costs of signalling overhead [6], making the solutions not scalable.In this Letter, we propose a potential game for joint channel and power allocation with local information. To that purpose, in order to characterise interference relationships among users, instead of the physical model we use the more simplified protocol model, the validity of which has been recently confirmed [7]. It is known to be hard to find the channel and power allocation to obtain the maximum throughput in wireless networks. Since the problem is usually NP-hard [8], its analysis is typically tackled with heuristic algorithms. Thus, to provide a reference for the performance of the proposed game, the results are compared with a metaheuristic genetic algorithm [9].

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