Full-dimension multiple-input multiple-output (FD-MIMO) systems, in which base stations are equipped with a large number of antennas in a two-dimensional panel, has received considerable attention from academia resear...
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In the multiple-input multiple-output (MIMO) system, the base station allows the number of users that accessing the system to exceed the maximum number of simultaneously supportable users. In order to eliminate the in...
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In satellite technology, a satellite cluster is an efficient resource-sharing approach in satellite communication, and the key to building it is how to achieve collaboration between satellites. However, in a distribut...
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With large-scale renewable energy connected to the microgrid, its uncertainty directly affects the optimal scheduling of the microgrid. In this paper, an optimization model of day-ahead operation schedule for the micr...
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In order to solve the problem of increased commercial competition among C2B logistics and transportation enterprises leading to a certain risk of leakage of privacy data, the disadvantages of traditional distributed o...
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This paper addresses a multiprocessor scheduling problem with real-world-inspired constraints. A learning-based prediction approach is proposed to support an effective algorithm selection during problem-solving. Class...
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As an important research topic in the field of cloud computing, the task scheduling problem has been deeply discussed by the majority of researchers. The overall efficiency of traditional algorithms is low. In the fac...
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We consider the minimization of the cost of actuation error under resource constraints for real-time tracking in wireless autonomous systems. A transmitter monitors the state of a discrete random process and sends upd...
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We consider the minimization of the cost of actuation error under resource constraints for real-time tracking in wireless autonomous systems. A transmitter monitors the state of a discrete random process and sends updates to a receiver over an unreliable wireless channel. The receiver then takes actions according to the estimated state of the source. For each discrepancy between the real state of the source and the estimated one, we consider a different cost of actuation error. This models the case where some states, and consequently the corresponding actions to be taken, are more important than others. We provide two algorithms, a first one reaching an optimal solution but of high complexity, and a second low-complexity one that provides a suboptimal solution. Our simulation results evince that the performance of the two algorithms are quite close.
A new task scheduling scheme based on dispersed computing is proposed to address the problem of poor utilization of idle computing resources in the network by the traditional computing paradigm. The scheme designs a d...
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This paper presents an energy scheduling-based formulation for computing operating envelopes including a distribution branch screening algorithm. The contribution of the paper is two-fold: first, it presents a methodo...
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