Radio resource allocation in LTE using utility functions based on moving average rates

Publikationstyp
Conference Paper
Date Issued
2014
Sprache
English
Author(s)
Li, Ming  
Tran, Phuong Nga  
Wang, Dimin  
Timm-Giel, Andreas  orcid-logo
Institut
Kommunikationsnetze E-4  
TORE-URI
http://hdl.handle.net/11420/3329
Start Page
1891
End Page
1896
Article Number
6952558
Citation
IEEE Wireless Communications and Networking Conference, WCNC : 6952558, 1891-1896 (2014)
Contribution to Conference
IEEE Wireless Communications and Networking Conference, WCNC 2014  
Publisher DOI
10.1109/WCNC.2014.6952558
Scopus ID
2-s2.0-84912078682
Publisher
IEEE
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.
Subjects
Lagrangian relaxation
LTE
radio resource allocation
system utility