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Resource allocation for block-based multi-carrier systems considering QoS requirements

: Gonzalez, Arturo; Kühlmorgen, Sebastian; Festag, Andreas; Fettweis, Gerhard


Institute of Electrical and Electronics Engineers -IEEE-:
IEEE Global Communications Conference, GLOBECOM 2017. Proceedings : Singapore, 4 - 8 December 2017
Piscataway, NJ: IEEE, 2017
ISBN: 978-1-5090-5019-2
ISBN: 978-1-5090-5020-8
ISBN: 978-1-5090-5018-5
7 S.
Global Communications Conference (GLOBECOM) <2017, Singapore>
Fraunhofer IVI ()
5G network; Radio Resource Allocation; heterogeneous traffic

Future 5G and beyond mobile networks target at services with a high degree of heterogeneity in terms of their communication requirements. To meet these requirements, different PHY numerologies would provide a better performance; still, all services must be served by a single network technology. Generalized Frequency Division Multiplexing (GFDM) is a good candidate for PHY virtualization where the dimensions of the data block can be dynamically configured in time and frequency. Allocating these blocks in a common spectrum every scheduling period leads to a ”packing” problem, in which the QoS demands of the data flows need to be acknowledged. In this paper we consider the optimization of the data block allocation as a Knapsack problem. We incorporate the flows’ QoS demands by means of utility theory, where utility functions provide a metric of urgency for a flow to be scheduled and the data block to be allocated. For the resulting two-dimensional geometric Knapsack problem we propose a heuristic solution, assess different design options and evaluate the performance in terms of data rate and queuing delay.