Title :
FDMA capacity of Gaussian multiple-access channels with ISI
Author :
Yu, Wei ; Cioffi, John M.
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA, USA
fDate :
1/1/2002 12:00:00 AM
Abstract :
This paper proposes a numerical method for characterizing the rate region achievable with frequency-division multiple access (FDMA) for a Gaussian multiple-access channel with intersymbol interference. The frequency spectrum is divided into discrete frequency bins and the discrete bin-assignment problem is shown to have a convex relaxation, making it tractable to numerical optimization algorithms. A practical low-complexity algorithm for the two-user case is also proposed. The algorithm is based on the observation that the optimal frequency partition has a two-band structure when the two channels are identical or when the signal-to-noise ratio is high. The simulation result shows that the algorithm performs well in other cases as well. The FDMA-capacity algorithm is used to devise the optimal frequency-division duplex plan for very-high-speed digital subscriber lines
Keywords :
Gaussian channels; Gaussian noise; channel capacity; computational complexity; convex programming; digital subscriber lines; frequency division multiple access; intersymbol interference; multiuser channels; FDMA capacity; FDMA-capacity algorithm; Gaussian multiple-access channel; Gaussian multiple-access channels; ISI; VDSL; achievable rate region; additive Gaussian noise; convex programming algorithms; convex relaxation; discrete bin-assignment problem; discrete frequency bins; frequency spectrum; frequency-division multiple access; intersymbol interference; low-complexity algorithm; low-complexity suboptimal solution; numerical method; numerical optimization algorithms; optimal frequency partition; optimal frequency-division duplex plan; signal-to-noise ratio; simulation result; two-band structure; very-high-speed digital subscriber lines; AWGN; Bandwidth; DSL; Decoding; Frequency conversion; Frequency division multiaccess; Gaussian noise; Intersymbol interference; OFDM; Partitioning algorithms;
Journal_Title :
Communications, IEEE Transactions on