Capacity and power allocation for fading MIMO channels with channel estimation error Export

@article{citeulike:673720, abstract = {In this correspondence, we investigate the effect of channel estimation error on the capacity of multiple-input-multiple-output (MIMO) fading channels. We study lower and upper bounds of mutual information under channel estimation error, and show that the two bounds are tight for Gaussian inputs. Assuming Gaussian inputs we also derive tight lower bounds of ergodic and outage capacities and optimal transmitter power allocation strategies that achieve the bounds under perfect feedback. For the ergodic capacity, the optimal strategy is a modified waterfilling over the spatial (antenna) and temporal (fading) domains. This strategy is close to optimum under small feedback delays, but when the delay is large, equal powers should be allocated across spatial dimensions. For the outage capacity, the optimal scheme is a spatial waterfilling and temporal truncated channel inversion. Numerical results show that some capacity gain is obtained by spatial power allocation. Temporal power adaptation, on the other hand, gives negligible gain in terms of ergodic capacity, but greatly enhances outage performance.}, author = {Yoo, Taesang and Goldsmith, A.}, citeulike-article-id = {673720}, citeulike-linkout-0 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1624653}, journal = {Information Theory, IEEE Transactions on}, keywords = {capacity, outage}, number = {5}, pages = {2203--2214}, posted-at = {2006-05-29 06:14:06}, priority = {2}, title = {Capacity and power allocation for fading MIMO channels with channel estimation error}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1624653}, volume = {52}, year = {2006} }

TY - JOUR ID - citeulike:673720 L3 - citeulike-article-id:673720 N2 - In this correspondence, we investigate the effect of channel estimation error on the capacity of multiple-input-multiple-output (MIMO) fading channels. We study lower and upper bounds of mutual information under channel estimation error, and show that the two bounds are tight for Gaussian inputs. Assuming Gaussian inputs we also derive tight lower bounds of ergodic and outage capacities and optimal transmitter power allocation strategies that achieve the bounds under perfect feedback. For the ergodic capacity, the optimal strategy is a modified waterfilling over the spatial (antenna) and temporal (fading) domains. This strategy is close to optimum under small feedback delays, but when the delay is large, equal powers should be allocated across spatial dimensions. For the outage capacity, the optimal scheme is a spatial waterfilling and temporal truncated channel inversion. Numerical results show that some capacity gain is obtained by spatial power allocation. Temporal power adaptation, on the other hand, gives negligible gain in terms of ergodic capacity, but greatly enhances outage performance. IS - 5 JF - Information Theory, IEEE Transactions on EP - 2214 TI - Capacity and power allocation for fading MIMO channels with channel estimation error VL - 52 SP - 2203 KW - capacity KW - outage AU - Yoo, Taesang AU - Goldsmith, A PY - 2006/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1624653 ER -