Elements of information theory
Elements of information theory
Bounds on the outage-constrained capacity region of space-division multiple-access radio systems
EURASIP Journal on Applied Signal Processing
Design of repeat-accumulate codes for iterative detection and decoding
IEEE Transactions on Signal Processing
An analytical method for MMSE MIMO turbo equalizer EXIT chart computation
IEEE Transactions on Wireless Communications
A rate-splitting approach to the Gaussian multiple-access channel
IEEE Transactions on Information Theory
Extrinsic information transfer functions: model and erasure channel properties
IEEE Transactions on Information Theory
LDPC coded MIMO multiple access with iterative joint decoding
IEEE Transactions on Information Theory
Convergence Analysis and Optimal Scheduling for Multiple Concatenated Codes
IEEE Transactions on Information Theory
Optimal Power/Rate Allocation and Code Selection for Iterative Joint Detection of Coded Random CDMA
IEEE Transactions on Information Theory
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We consider the problem of rate allocation in frequency-selective 2-user Gaussian multiple access fading channels employing turbo equalization. The turbo equalization framework used in this paper contains a soft cancellation frequency domain minimum mean squared error equalizer and two a posteriori probability channel decoders. Using the relationship between the rate of any code and the area under its corresponding decoder extrinsic information transfer (EXIT) function, we derive an upper bound on the rate region of the 2-user turbo system, given the EXIT characteristic of the equalizer for a particular channel realization. With the rate region upper bound, we then study the problem of maximizing the sum rate of both users, and provide an approximate solution to this optimization problem. Based on the obtained result, a practical code selection algorithm for rate allocation at both transmitters is proposed. In addition, we discuss the extension of the proposed algorithm to an outage-based rate allocation approach. Numerical results of capacity calculations and throughput simulations are presented to demonstrate the performance enhancement achieved by the proposed rate allocation technique over automatic repeat request with fixed coding rate.