A new CRRM Scheduling Algorithm for heterogeneous networks using Hopfield Neural Networks
نویسندگان
چکیده
This paper proposes a novel Common Radio Resource Management (CRRM) algorithm for heterogeneous scenarios making use of the Hopfield Neural Network methodology, which provides a fast way of finding the optimum resource allocation that minimises a given energy function reflecting specific service and system constraints. The proposed algorithm is applied in a heterogeneous wireless scenario with CDMA and TDMA radio access networks to schedule the downlink transmissions of a delay-constrained service. The algorithm is evaluated by means of realistic simulations and compared with a reference scheme, revealing its ability to adapt to the specific service and traffic conditions.
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