Optimal linear precoders for MIMO wireless correlated channels with nonzero mean in space-time coded systems

This paper proposes linear precoder designs exploiting statistical channel knowledge at the transmitter in a multiple-input multiple-output (MIMO) wireless system. The paper focuses on channel statistics, since obtaining real-time channel state information at the transmitter can be difficult due to...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE transactions on signal processing Ročník 54; číslo 6; s. 2318 - 2332
Hlavní autoři:	Mai Vu, Paulraj, A.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York, NY IEEE 01.06.2006 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Applied sciences Block codes Channel side information (CSI) Channel state information Channels Codes Coding, codes correlated fading channels Correlation Design engineering Detection, estimation, filtering, equalization, prediction Dynamical systems Dynamics Error analysis Exact sciences and technology Fading Impedance matching Information, signal and communications theory Mathematical models MIMO multiple-input multiple-output (MIMO) wireless Optimization Pairwise error probability precoding Signal and communications theory Signal, noise space-time codes Statistics Studies Telecommunications and information theory Transmitters Transmitting antennas Block code Space-time codes Parameter estimation Error probability Input signal Wireless telecommunication Transmitter precoding Convex programming Beam forming Relaxation Channel estimation Channel side information (CSI) Vibration control Minimal distance Fading channels MIMO system correlated fading channels Eigenvector multiple-input multiple-output (MIMO) wireless Singular vector Transmitting antenna Telecommunication channels Numerical simulation Signal to noise ratio
ISSN:	1053-587X, 1941-0476
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Popis
Shrnutí:	This paper proposes linear precoder designs exploiting statistical channel knowledge at the transmitter in a multiple-input multiple-output (MIMO) wireless system. The paper focuses on channel statistics, since obtaining real-time channel state information at the transmitter can be difficult due to channel dynamics. The considered channel statistics consist of the channel mean and transmit antenna correlation. The receiver is assumed to know the instantaneous channel precisely. The precoder operates along with a space-time block code (STBC) and aims to minimize the Chernoff bound on the pairwise error probability (PEP) between a pair of block codewords, averaged over channel fading statistics. Two PEP design criteria are studied-minimum distance and average distance. The optimal precoder with an orthogonal STBC is established, using a convex optimization framework. Different relaxations then extend the solution to systems with nonorthogonal STBCs. In both cases, the precoder is a function of both the channel mean and the transmit correlation. A linear precoder acts as a combination of a multimode beamformer and an input shaping matrix, matching each side to the channel and to the input signal structure, respectively. Both the optimal beam direction and the power of each mode, obtained via a dynamic water-filling process, depend on the signal-to-noise ratio (SNR). Asymptotic analyses of the results reveal that, for all STBCs, the precoder approaches a single-mode beamformer on the dominant right singular vector of the channel mean as the channel K factor increases. On the other hand, as the SNR increases, it approaches an equipower multiple-mode beamformer, matched to the eigenvectors of the transmit correlation. Design examples and numerical simulation results for both orthogonal and nonorthogonal STBC precoding solutions are provided, illustrating the precoding array gain.
Bibliografie:	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 content type line 23
ISSN:	1053-587X 1941-0476
DOI:	10.1109/TSP.2006.871960