Opportunistic Scheduling in Multiuser OFDM Systems with Clustered Feedback

Authors:
Taiwen Tang;Chan-Byoung Chae;Robert W. Heath, Jr.;Sunghyun Cho;Sangboh Yun
Affiliations:
Department of Electrical & Computer Engineering, The University of Texas at Austin, Austin, USA 78712;Department of Electrical & Computer Engineering, The University of Texas at Austin, Austin, USA 78712;Department of Electrical & Computer Engineering, The University of Texas at Austin, Austin, USA 78712;Department of Electrical Engineering, Stanford University, Stanford, USA 94305;Telecommunication R&D Center, Samsung Electronics, Suwon, Korea
Venue:
Wireless Personal Communications: An International Journal
Year:
2010

Citing 7
Cited 0

OFDM for Wireless Communications Systems

OFDM for Wireless Communications Systems
Opportunistic beamforming using dumb antennas

IEEE Transactions on Information Theory
Distributed approaches for exploiting multiuser diversity in wireless networks

IEEE Transactions on Information Theory
Providing quality of service over a shared wireless link

IEEE Communications Magazine
Adaptive modulation and MIMO coding for broadband wireless data networks

IEEE Communications Magazine
Technical solutions for the 3G long-term evolution

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

IEEE Journal on Selected Areas in Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposes a random access based feedback protocol for multiuser orthogonal frequency division multiple access (OFDMA) systems with clustered feedback, where users are assigned to clusters of subcarriers based on the feedback of channel state information to the base station. To reduce feedback requirements, the proposed protocol employs a contention channel with a fixed number of feedback minislots to carry feedback for each cluster. Users send a feedback message with some probability in the appropriate feedback slot if their average channel quality on a cluster is above a threshold. Both arithmetic and geometric averages are used and compared as channel quality measures. The threshold and feedback probability are jointly adjusted to maximize the estimated average sum rate of all users based on two different limited feedback information. Numerical simulations illustrate that it is possible to achieve multiuser diversity gain despite collisions in the feedback channel and with only a few feedback opportunities.