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Multiuser OFDMA Resource Allocation Algorithms for In-Home Power-Line Communications

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3 Author(s)
Hao Zou ; Dept. of Electr. Eng., Stanford Univ., Stanford, CA ; Jagannathan, S. ; Cioffi, J.M.

This paper reformulates the multi-user OFDMA resource allocation problems in broadcast and multiple-access channels by defining an equivalent interference channel. The resulting problems are then solved by employing low-complexity algorithms for spectrum optimization in the interference channel. The re-formulation averts the high-complexity integer programming problem that otherwise results from an OFDMA system that allocates each user to separate subchannels. Simulation results indicate that the proposed algorithm achieves near-optimal performance and is suitable for PLC resource allocation applications.

Published in:

Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE

Date of Conference:

Nov. 30 2008-Dec. 4 2008