%0 Journal Article %1 noauthororeditor %A Banani1, S. Alireza %A and Dena Homayounieh2, %D 2013 %J International Journal of Information Technology, Modeling and Computing (IJITMC) %K MIMO capacity convex eigen-channel ergodic optimization water-filling %N 4 %P 01-12 %R 10.5121/ijitmc.2013.1401 %T POWER ALLOCATION FOR CAPACITY MAXIMIZATION IN EIGEN-MIMO WITH OUTPUT SNR CONSTRAINT %U http://airccse.org/journal/ijitmc/papers/1413ijitmc01.pdf %V 1 %X Water-filling is the power allocation that maximizes the parallel-channel eigen-MIMO informationtheoretic capacity. However, for practical designs, designing for error performance is also important. The overall uncoded error rate, in a system with water-filled eigen-channels using digital modulation, degrades through the errors in the data that uses the weaker eigen-channels. This is because in water-filling, a lower transmit power is allocated (and a lower proportion of the overall capacity) to the weaker eigenchannels. One general solution is to discard the weaker eigen-channels, but this does still not allow simple control over the values of, or trade-off between, capacity and the error rate. In this paper a design approach is presented for the control of, and improvement in, the overall error performance, while maintaining the ergodic capacity as high as possible. The approach is direct; the eigen-channel power allocation is optimized for capacity maximization constrained by a desired error performance on the eigenchannels via constraints on their SNRs. A useful feature is that the capacity and the error performance can be managed through the eigen-channel SNR constraint. Statistical simulations with Rayleigh channels quantify the significant SER improvement compared to full eigen-MIMO (maximum number of eigen-channels) with water-filling, when using a fixed modulation set. This set comprises pre-chosen constellations for a constant number of eigen-channels, and this remains fixed for the all the channel realizations, i.e., with time for the time-varying channel. The improvement in error performance is at the expense of a small loss in capacity.

@article{noauthororeditor, abstract = {Water-filling is the power allocation that maximizes the parallel-channel eigen-MIMO informationtheoretic capacity. However, for practical designs, designing for error performance is also important. The overall uncoded error rate, in a system with water-filled eigen-channels using digital modulation, degrades through the errors in the data that uses the weaker eigen-channels. This is because in water-filling, a lower transmit power is allocated (and a lower proportion of the overall capacity) to the weaker eigenchannels. One general solution is to discard the weaker eigen-channels, but this does still not allow simple control over the values of, or trade-off between, capacity and the error rate. In this paper a design approach is presented for the control of, and improvement in, the overall error performance, while maintaining the ergodic capacity as high as possible. The approach is direct; the eigen-channel power allocation is optimized for capacity maximization constrained by a desired error performance on the eigenchannels via constraints on their SNRs. A useful feature is that the capacity and the error performance can be managed through the eigen-channel SNR constraint. Statistical simulations with Rayleigh channels quantify the significant SER improvement compared to full eigen-MIMO (maximum number of eigen-channels) with water-filling, when using a fixed modulation set. This set comprises pre-chosen constellations for a constant number of eigen-channels, and this remains fixed for the all the channel realizations, i.e., with time for the time-varying channel. The improvement in error performance is at the expense of a small loss in capacity.}, added-at = {2018-09-12T09:59:45.000+0200}, author = {Banani1, S. Alireza and and Dena Homayounieh2}, biburl = {https://www.bibsonomy.org/bibtex/2ed77e0106ced99ee2621b8c78fb28daa/alexafedrica}, doi = {10.5121/ijitmc.2013.1401}, interhash = {0ba6578f65713533f5adbf7fc99d73c7}, intrahash = {ed77e0106ced99ee2621b8c78fb28daa}, journal = {International Journal of Information Technology, Modeling and Computing (IJITMC)}, keywords = {MIMO capacity convex eigen-channel ergodic optimization water-filling}, month = {November}, number = 4, pages = {01-12}, timestamp = {2018-09-12T09:59:45.000+0200}, title = {POWER ALLOCATION FOR CAPACITY MAXIMIZATION IN EIGEN-MIMO WITH OUTPUT SNR CONSTRAINT}, url = {http://airccse.org/journal/ijitmc/papers/1413ijitmc01.pdf}, volume = 1, year = 2013 }