Title
A Fully Decentralized and Load-Adaptive Fractional Frequency Reuse Scheme
Abstract
A new fully decentralized dynamic fractional frequency reuse (FFR)-based scheme for cellular OFDMA networks is introduced. FFR is a technique to mitigate inter-cell interference to improve the throughput of interference-limited users on the cell edge, to the expense of the rest of the cell's users and the aggregate throughput. The proposed scheme aims to limit the FFR-incurred loss of the center users' throughput, while still providing sufficient bandwidth for the cell edge users' communication. This is done by local information sharing and distributed optimization. The resulting ?exibility of frequency reuse can be especially beneficial in scenarios with non-uniform and time-varying load. The optimization task is accomplished by solving a knapsack problem in each cell, where the goal is to maximize the center throughput while maintaining acceptable degradation on the cell edge with respect to the original FFR allocation. The performance improvement resulting from the distributed and dynamic FFR scheme is demonstrated by snapshot simulations on an 81-cells network with asymmetric cell load. The proposed scheme achieves up to a 62% gain in cell-center throughput with a cost of no more than 18% at the edges when compared to the classic FFR scheme. The overall system throughput improvement ranges from 22% to 58%.
Year
DOI
Venue
2011
10.1109/MASCOTS.2011.42
MASCOTS
Keywords
Field
DocType
OFDM modulation,cellular radio,frequency allocation,frequency division multiple access,interference suppression,radiofrequency interference,FFR allocation,FFR-incurred loss,cell edge user communication,cellular OFDMA networks,distributed FFR scheme,distributed optimization,fully decentralized dynamic fractional frequency reuse scheme,information sharing,intercell interference mitigation,interference-limited users,knapsack problem,load-adaptive fractional frequency reuse scheme,orthogonal frequency division multiple access,Cellular networks,OFDMA,fractional frequency reuse,load-adaptative,resource allocation
Computer science,Real-time computing,Bandwidth (signal processing),Cellular network,Frequency-division multiple access,Frequency allocation,Knapsack problem,Throughput,Orthogonal frequency-division multiplexing,Distributed computing,Performance improvement
Conference
Citations 
PageRank 
References 
0
0.34
6
Authors
3
Name
Order
Citations
PageRank
Vangelis Angelakis126427.08
Lei Chen221515.47
Di Yuan333539.59