Dynamic resource allocation in adaptive wireless OFDMA systems

Authors:
Dionysis Xenakis;Dimitris Tsolkas;Nikos Passas;Nancy Alonistioti;Lazaros Merakos
Affiliations:
Department of Informatics and Telecommunications, University of Athens, Panepistimiopolis, Ilissia, 15784 Athens, Greece;Department of Informatics and Telecommunications, University of Athens, Panepistimiopolis, Ilissia, 15784 Athens, Greece;Department of Informatics and Telecommunications, University of Athens, Panepistimiopolis, Ilissia, 15784 Athens, Greece;Department of Informatics and Telecommunications, University of Athens, Panepistimiopolis, Ilissia, 15784 Athens, Greece;Department of Informatics and Telecommunications, University of Athens, Panepistimiopolis, Ilissia, 15784 Athens, Greece
Venue:
Wireless Communications & Mobile Computing
Year:
2012

Citing 4
Cited 1

Fundamentals of WiMAX: Understanding Broadband Wireless Networking (Prentice Hall Communications Engineering and Emerging Technologies Series)

Fundamentals of WiMAX: Understanding Broadband Wireless Networking (Prentice Hall Communications Engineering and Emerging Technologies Series)
Optimal resource allocation in the OFDMA downlink with imperfect channel knowledge

IEEE Transactions on Communications
Low complexity adaptive power and subcarrier allocation for OFDMA

IEEE Transactions on Wireless Communications
Efficient subcarrier, power, and rate allocation with fairness consideration for OFDMA uplink

IEEE Transactions on Wireless Communications - Part 1

Dynamic Subcarrier-based Resource Allocation Algorithm in Wireless Networks

Proceedings of International Conference on Advances in Mobile Computing & Multimedia

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Abstract

Modern wireless orthogonal frequency division multiple access (OFDMA) systems incorporate dynamic resource allocation (DRA), adaptive modulation and coding (AMC), and power control (PC) to exploit multiuser diversity and achieve higher system throughput. In the literature, only a few proposed algorithms deal with the contiguous DRA problem according to which a contiguous collection of resources can be allocated to each user. This paper formulates this high complexity problem, provides a suitable decision metric and a simple yet efficient solution. The proposed algorithm allocates in each step a contiguous collection of resources to the pending user that leads to the highest estimated correctly received number of bits. Simulation results show that, in this way, considerably improved performance can be achieved in terms of overall system throughput, spectral efficiency, and served traffic. Copyright © 2010 John Wiley & Sons, Ltd.