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This paper presents a game theoretic framework to analyze a cellular-WLAN heterogeneous network from a virtual multiple-input multiple-output (VMIMO) perspective. Namely, we restrict to the uplink case and consider a non-cooperative game where each user seeks to meet some quality of service (QoS). Moreover, mobile users are allowed to re-inject, through their WLAN interfaces, a part of their throughput...
Understanding human mobility dynamics is of an essential importance to today mobile applications, including context-aware advertising and city wide sensing applications. Recently, Location-based social networks (LBSNs) have attracted important researchers' efforts, to investigate spatial, temporal and social aspects of user patterns. LBSNs allow users to "check-in" at geographical locations...
In this paper, we are interested in the description of a cross-layer architecture that supports service differentiation for real-time and best-effort traffics in Wireless Sensor Networks (WSN). We present our mathematical model that combines parameters from network and MAC layers. We aim to estimate and to enhance the throughput of multi-hop WSNs and the stability of the forwarding queues used for...
To meet their business goals, organizations are increasingly demanding services that can meet their functional and quality-of-service (QoS) requirements. In this paper, we propose a framework for service provisioning, which relies on brokered Service Level agreements (SLAs) between service consumers and service providers. The framework aims at providing support for automated SLA negotiation and management...
This paper describes a routing system for a communication network constituted by several ad hoc mobile nodes. This system optimizes energy consumption. It divides the network into clusters. Thereafter it detects the best way in terms of energy to be taken by a stream of data. This consists to calculate the energy required for each available path and select the optimal gateways. Each cluster is identified...
In this paper, we study dynamic robust power allocation strategies under the imperfectness of the channel state information at the transmitters. Considering unknown payoff functions at the transmitters, we propose an heterogeneous Delayed COmbined fully DIstributed Payoff and Strategy Reinforcement Learning (Delayed-CODIPAS-RL) in which each transmitter learns its payoff function as well as its associated...
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