Open AccessEnergy efficient and quality of service aware resource block allocation in OFDMA systems
Author(s) -
Sabagh Mohammad R.,
Dianati Mehrdad,
Tafazolli Rahim,
Mehrjoo Mehri
Publication year - 2015
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2014.0782
Subject(s) - computer science , orthogonal frequency division multiple access , network packet , energy consumption , efficient energy use , quality of service , spectral efficiency , exploit , scheduling (production processes) , benchmark (surveying) , telecommunications link , schedule , real time computing , mathematical optimization , orthogonal frequency division multiplexing , computer network , ecology , channel (broadcasting) , computer security , mathematics , geodesy , geography , electrical engineering , biology , engineering , operating system
This study investigates energy efficient allocation of radio resource blocks in orthogonal frequency division multiple access (OFDMA) systems while considering the status of the users’ data buffers to reduce packet dropping rate by the downlink scheduler. The proposed scheme exploits the fluctuations of traffic load to efficiently schedule users’ data packets by reducing the overall energy consumption of the system whenever the status of data buffers permits. From information theory point of view, the proposed scheme exploits the fundamental trade‐off between energy efficiency and spectral efficiency to perform scheduling. First, the problem is formulated as an optimisation problem and then a novel solution, based on dynamic programming, is applied. By comparing the analytical solution with the ones obtained by exhaustive search, it is demonstrated that the proposed scheme is close to the optimal solution, with low computational complexity. In addition, comprehensive simulations are conducted to evaluate the performance of the suggested algorithm. Both analytical and simulation results demonstrate the superiority of the proposed algorithm compared with the well‐known benchmark schemes in terms of energy efficiency and packet dropping rate.