Minimum probability of error for asynchronous Gaussian multiple-access channels
IEEE Transactions on Information Theory
A solvable case of quadratic 0-1 programming
Discrete Applied Mathematics
Experiments in quadratic 0-1 programming
Mathematical Programming: Series A and B
Parallel branch and bound algorithms for quadratic zero-one programs on the hypercube architecture
Annals of Operations Research
Construction of test problems in quadratic bivalent programming
ACM Transactions on Mathematical Software (TOMS)
An improved branch and bound algorithm for mixed integer nonlinear programs
Computers and Operations Research
Multiuser Detection
Introductory Combinatorics
Topics in Parellel Computing in Mathematical Programming
Topics in Parellel Computing in Mathematical Programming
Combinatorial Algorithms
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
Low complexity optimal joint detection for oversaturated multipleaccess communications
IEEE Transactions on Signal Processing
IEEE Transactions on Information Theory
Bit-interleaved coded modulation
IEEE Transactions on Information Theory
Capacity of a mobile multiple-antenna communication link in Rayleigh flat fading
IEEE Transactions on Information Theory
Limiting performance of block-fading channels with multiple antennas
IEEE Transactions on Information Theory
Group detection for synchronous Gaussian code-division multiple-access channels
IEEE Transactions on Information Theory
Trellis-coded modulation with bit interleaving and iterative decoding
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
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In this paper, we introduce a new greedy algorithm developed for communication systems characterized with multiple simultaneous data transmission. Specifically, we consider code-division multiple-access (CDMA) systems and systems employing space-time coding (STC). The optimum detection in such systems has an exponential complexity and cannot be used in practical systems. We show that performance close to the optimum performance yet with significantly lower complexity can be achieved by the proposed algorithm. Also, we show that its performance is significantly better than that of most of the existing sub-optimum schemes for a wide range of operating conditions.