DocumentCode :
1785968
Title :
A modified greedy resource allocation algorithm for OFDMA based networks
Author :
Nia, Mohammad Reza Etemadi ; Ghorashi, Seyed Ali
Author_Institution :
Dept. of Electr. Eng., Cognitive Telecommun. Res. Group, Shahid Beheshti Univ., Tehran, Iran
fYear :
2014
fDate :
20-22 May 2014
Firstpage :
1637
Lastpage :
1641
Abstract :
This paper presents a modified greedy algorithm for allocating resource blocks (RBs) and power in downlink of OFDMA based networks. This algorithm considers the location of users in the power allocation process. Furthermore, for inter-cell interference coordination, an interference graph is used. Using this graph, RBs are allocated to those users that do not experience severe interference in that RB. At the first, the user with the maximum average SINR is chosen and then the RB with maximum SINR (among those RBs that are not selected yet) is chosen. The power is allocated in three predefined levels according to the distance of users from their serving and interferer BSs. Comparing with traditional greedy algorithms, the proposed algorithm utilizes more degrees of freedom in resource allocation process, and considers different power levels for different users according to their locations in the cell. Simulation results show that our modified greedy algorithm improves the throughput of cell edge users compared with the other schemes.
Keywords :
OFDM modulation; cellular radio; frequency division multiple access; greedy algorithms; radio networks; radiofrequency interference; resource allocation; OFDMA based network downlink; degrees of freedom; intercell interference coordination; interference graph; interferer BS; maximum average SINR; modified greedy RB allocation algorithm; power allocation process; resource block allocation; Educational institutions; Electrical engineering; Greedy algorithms; Interference; Resource management; Throughput; Time-frequency analysis; Downlink resource allocation; inter-cell interference coordination; interference graph; power allocation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering (ICEE), 2014 22nd Iranian Conference on
Conference_Location :
Tehran
Type :
conf
DOI :
10.1109/IranianCEE.2014.6999800
Filename :
6999800
Link To Document :
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