Title :
An exponential lower bound on the expected complexity of sphere decoding
Author :
Jaldén, Joakim ; Ottersten, Björn
Author_Institution :
Dept. of Signals, Sensors & Syst., R. Inst. of Technol., Stockholm, Sweden
Abstract :
The sphere decoding algorithm is an efficient algorithm used to solve the maximum likelihood detection problem in several digital communication systems. The sphere decoding algorithm has previously been claimed to have polynomial expected complexity. While it is true that the algorithm has an expected complexity comparable to that of other polynomial time algorithms for problems of moderate size it is a misconception that the expected number of operations asymptotically grow as a polynomial function of the problem size. In order to illustrate this point we derive an exponential lower bound on the expected complexity of the sphere decoder.
Keywords :
computational complexity; digital radio; maximum likelihood decoding; maximum likelihood detection; digital communication systems; expected complexity; exponential lower bound; maximum likelihood detection problem; polynomial time algorithms; sphere decoding algorithm; Digital communication; Gaussian noise; MIMO; Maximum likelihood decoding; Maximum likelihood detection; Maximum likelihood estimation; Polynomials; Quadrature amplitude modulation; Sensor systems; Signal to noise ratio;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1326846