Title
Graph-Based User Satisfaction-Aware Fair Resource Allocation in OFDMA Femtocell Networks
Abstract
Unlike the fairness of the number of allocation units studied in the previous works, the fairness of user satisfaction needs to consider the data rates on allocation units. In this paper, we propose a resource-allocation scheme aiming at the max-min fairness of user satisfaction in orthogonal frequency-division multiple access (OFDMA) femtocell networks. The proposed scheme is modeled as an optimization problem with the physical interference model, which is an NP-hard problem. To solve this problem with low computational complexity, we give a solution based on a conflict graph with interference restricted. The proposed conflict graph considers the aggregate of interference and asymmetry of interference, which benefits the solution to approximate that in the physical interference model. Simulation results confirm that the proposed scheme can improve the fairness of user satisfaction effectively.
Year
DOI
Venue
2015
10.1109/TVT.2014.2341250
Vehicular Technology, IEEE Transactions
Keywords
Field
DocType
ofdm modulation,computational complexity,femtocellular radio,frequency division multiple access,minimax techniques,radiofrequency interference,resource allocation,np-hard problem,ofdma femtocell networks,allocation units,conflict graph,data rates,graph-based user satisfaction-aware fair,maxmin fairness,optimization problem,orthogonal frequency division multiple access,physical interference,fairness,femtocell,graph,orthogonal frequency-division multiple access (ofdma),user satisfaction,orthogonality,interference,graphs,simulation,signal to noise ratio,resource management,customer satisfaction,indexes,np hard problem
Resource management,Max-min fairness,Femtocell,Customer satisfaction,Computer science,Computer network,Resource allocation,Interference (wave propagation),Optimization problem,Computational complexity theory
Journal
Volume
Issue
ISSN
64
5
0018-9545
Citations 
PageRank 
References 
12
0.55
9
Authors
4
Name
Order
Citations
PageRank
Yun Meng1162.32
Jiandong Li21377178.18
Hongyan Li3173.00
Peng Liu4212.13