Abstract
The paper provides framework for statistical-based dynamic radio resource allocation for sectored cells in MIMO-OFDMA systems. The availability of multiple antennas in the present wireless equipment provides higher data rate. In the multicellular system, the users suffer from severe interference at the boundary of the cell termed as Inter-Cell Interference (ICI). The sharing of common radio resources by the users at the edge leads to ICI. In order to mitigate the ICI at the edge, the resources need to be dynamically categorized, managed and allocated to the users. The statistical-based dynamic allocation of resources like subcarriers and the corresponding power is carried out, for the categorized users. The simulation results enhance overall system throughput, spectral efficiency at increased resource utilization.
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Budihal, S.V., Shiralikar, S. (2018). Statistical-Based Dynamic Radio Resource Allocation for Sectored Cells in MIMO-OFDMA System. In: Sa, P., Bakshi, S., Hatzilygeroudis, I., Sahoo, M. (eds) Recent Findings in Intelligent Computing Techniques . Advances in Intelligent Systems and Computing, vol 708. Springer, Singapore. https://doi.org/10.1007/978-981-10-8636-6_17
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DOI: https://doi.org/10.1007/978-981-10-8636-6_17
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Online ISBN: 978-981-10-8636-6
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