Scheduling and Resource Allocation Strategy for OFDMA Systems Over Time-Varying Channels |
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Authors: | Muayad S Al-Janabi Charalampos C Tsimenidis Bayan S Sharif Stéphane Y Le Goff |
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Affiliation: | (1) Electrical, Electronics and Computer Engineering, Newcastle University, Merz Court, NE1 7RU Newcastle Upon Tyne, UK |
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Abstract: | A cross-layer scheduling and resource allocation (SRA) strategy for an adaptive modulation and coding (AMC) based orthogonal
frequency multiple access (OFDMA) system is proposed. The objective of this paper is to maximize the system throughput as
a function of the bit error rate (BER) and the spectral efficiency based on the selected modulation and coding schemes (MCSs).
The proposed strategy contains two main algorithms. Firstly, the scheduling algorithm that aims to maximize the average system
throughput by arranging the users in distinct queues according to their priorities and selecting the best user of each queue
individually in order to guarantee a fair user service amongst different priority levels. Secondly, the resource allocation
algorithm that allocates the user, bit and power based on the channel conditions of the scheduling users and the transmission
power constraints. The transmitter of the investigated AMC-OFDMA system at the assigned base station (BS) divides the transmitted
OFDMA frame into sub-channels and assigns each sub-channel to a scheduled user. In this paper, we compare the performance
of the proposed SRA with the conventional first in first out (FIFO) queuing based scheduling and resource allocation strategies
used for an AMC-OFDMA system. The simulation results show that the investigated AMC-OFDMA system based on the proposed SRA
strategy outperforms the conventional approaches. |
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