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This paper proposes the application of a quantum inspired reinforcement learning technique for spectrum assignment of wireless communication networks. The proposed technique aims to enhance the speed of learning convergence through the dependence of the decision process on a well ranked action desirability table which is updated based on the success or failure of an action. In addition, the exploration...
The amorphous cells have emerged as a new paradigm to meet the fast increasing wireless capacity and coverage demands. Compared with the traditional cellular networks with hexagon-based deployments, the amorphous cells support mobile base stations (MBS) to form dynamic cell topologies, which can adapt to the group-movement behaviors of network loads. These amorphous cells are required to be self-organized...
This paper considers the problem of delivering K different contents to D destinations from N sources in wireless networks. Traffic in opposite directions over two wireless hops can utilize the advantage of network coding (NC) in order to decrease the number of transmissions used. We call such coded hops as “NC-links”. On the other hand, the multicast (MC) links can transmit data to several nodes at...
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