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MIMO (Multiple-Input-Multiple-Output) is a promising structure for wireless communication. While virtual MIMO structure has been proposed for distributed and cooperative wireless networks, this proposed structure has also put additional energy consumption where energy stands in the important position. At the same time, we have observed that this-problem-caused low energy nodes' mibehavior will degrade...
Efficient implementation of FIR (finite-impulse-response) equalizers for wireless channels has attracted much attention these days as equalizations can improve the link performance in hostile mobile radio environment by compensating for inter-symbol interference created by multipath within time dispersive channels. Meanwhile, the MIMO (multiple-input-multiple-output) technique becomes a trend in wireless...
To combat the multipath fading, the array gain is introduced to the cooperative system when multiple antennas is applied at relay nodes. Two cooperative schemes, i.e., the reactive and proactive relaying schemes are studied for the non-regenerative relaying, i.e., the amplify-and-forward (AF) mode. The results show that for a K relays network with each relay equips nr antennas, both these two schemes...
In this paper, to compensate frequency offset and phase noise influence, several ICI self-cancellation methods are proposed, CPE, ICI and CIR are derived in MISO OFDM system. As results, by choosing several ICI self-cancellation methods appropriately, considerable performance improvement can be achieved in the MISO OFDM system which affected by frequency offset and phase noise.
Perfect channel state information (CSI) is always assumed in work on multiple-input, multiple-output (MIMO) precoding theoretical analyze. In this paper, we investigate the effect of imperfect channel state information on the performance of MIMO broadcast channel (MIMO-BC). We show that even with moderate channel estimation error, the system performance degrade significantly. So, we propose a Frobenius...
A family of detectors that exploit signal constraints is developed for maximum-likelihood detection for multiple-input-multiple-output (MIMO) systems. Real constrained detectors and decision-feedback detectors are proposed for real constellations by forcing the relaxed solution to be real. A generalized minimum mean square error (GMMSE) and constrained least squares MIMO detectors are also developed...
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