Adaptive modulation and coding techniques for OFDMA systems

Authors:
Romano Fantacci;Dania Marabissi;Daniele Tarchi;Ibrahim Habib
Affiliations:
Department of Electronic and Telecommunications, University of Florence, Firenze, Italy;Department of Electronic and Telecommunications, University of Florence, Firenze, Italy;Department of Electronic and Telecommunications, University of Florence, Firenze, Italy;Department of Electrical Engineering, City College of the City University of New York, New York, NY
Venue:
IEEE Transactions on Wireless Communications
Year:
2009

Citing 6
Cited 0

Wireless Communications

Wireless Communications
Performance evaluation of admission control and adaptive modulation in OFDMA WiMax systems

IEEE/ACM Transactions on Networking (TON)
Adaptive resource allocation in multiuser OFDM systems with proportional rate constraints

IEEE Transactions on Wireless Communications
Robust Multiuser Interference Cancellation for OFDM Systems With Frequency Offset

IEEE Transactions on Wireless Communications
Utility-based resource allocation and scheduling in OFDM-based wireless broadband networks

IEEE Communications Magazine
Multiuser OFDM with adaptive subcarrier, bit, and power allocation

IEEE Journal on Selected Areas in Communications

Quantified Score

Hi-index	0.01

Visualization

Abstract

The demand for high-speed services and multimedia applications anywhere and anytime has led to the rise of wireless communications. In particular, WiMAX technology is nowadays considered one of the most prominent solutions capable to provide a Broadband Wireless Access (BWA) in metropolitan areas with a simpler installation and lower cost than traditional wired alternatives. This paper deals with the proposal of efficient adaptive modulation and coding techniques to be used inWiMAX based wireless networks, that allow to improve network performance in the case of Non Line-of-Sight communications, which are typical in urban environments. Through these techniques it is possible to switch the modulation order and coding rate in order to better match the channel conditions, and, hence, obtaining better performance both in terms of error probability and data throughput.