Title :
Radio resource allocation in LTE using utility functions based on moving average rates
Author :
Ming Li ; Phuong Nga Tran ; Dimin Wang ; Timm-Giel, Andreas
Author_Institution :
Commun. Networks, Hamburg Univ. of Technol., Hamburg, Germany
Abstract :
In this paper, we propose a new algorithm to solve the downlink resource allocation problem in LTE networks taking the channel conditions into account. We first formulate the problem as a convex optimization problem, which maximizes the aggregated utility of all users. Different from other papers of the same topic, we construct the utility function based on the Exponential Moving Average (EMA) rate instead of the instantaneous data rate. The advantage of this approach is that it guarantees the users with very bad channel conditions still to be scheduled, even if the number of Physical Resource Blocks (PRBs) is smaller than the number of users. The problem is solved optimally with the Lagrangian decomposition method. Extensive simulations have been carried out to compare our approach to the instantaneous data rate approach and to analyze the influence of the system parameters on the behavior of the algorithm.
Keywords :
Long Term Evolution; convex programming; moving average processes; resource allocation; wireless channels; EMA rate; LTE network; Lagrangian decomposition method; Long Term Evolution network; PRB; channel condition; convex optimization problem; downlink resource allocation problem; exponential moving average rate; physical resource block; radio resource allocation; utility function; Bandwidth; Interference; Long Term Evolution; Quality of service; Resource management; Signal to noise ratio; Throughput; LTE; Lagrangian relaxation; radio resource allocation; system utility;
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2014 IEEE
Conference_Location :
Istanbul
DOI :
10.1109/WCNC.2014.6952558