Optimal designs for space-time linear precoders and decoders

Scaglione, Anna; Stoica, Petre; Barbarossa, Sergio; Giannakis, Georgios B.; Sampath, H.

doi:10.1109/78.995062

Cited by 738 publications

(515 citation statements)

References 27 publications

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“…The average transmit power E s for diagonal precoders is choosen large enough such that the power is always allocated on both virtual subchannels. It is observed that the N-d min solution is better than WaterFiling [1], max-λ min [3] and MMSE [6] precoders in terms of d min .…”

Section: B For Qpsk Modulationmentioning

confidence: 91%

“…They are designed to optimize various criteria such as maximizing the minimum singular value [3], maximizing the post-processing SNR [5], and minimizing the mean square error (MSE) [6]. These precoding matrices are all diagonal and lead to power allocation strategies.…”

Section: Introductionmentioning

confidence: 99%

“…Linear precoders can be used for a transmitter with full CSI [3], or limited feedback CSI [4] from the receiver. They are designed to optimize various criteria such as maximizing the minimum singular value [3], maximizing the post-processing SNR [5], and minimizing the mean square error (MSE) [6].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Reducing the number of neighbors in the received constellation of d<inf>min</inf> precoded MIMO systems

Ngo

Berder

Scalart

2011

2011 IEEE Wireless Communications and Networking Conference

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Abstract-Not only the minimum Euclidean distance but also the number of neighbors providing the dmin in the received constellation has an important role in reducing the error probability when Maximum Likelihood detection is considered. Assuming that the channel-state-information is available at the transmitter, a new precoder in which the rotation parameter has no influence is proposed for two independent data-streams. The expression of the new precoding strategy is less complex and the space of solution is, therefore, smaller. Simulation results over Rayleigh fading channel confirm a bit-error-rate improvement of the proposed solution in comparison with other precoders. The improvement depends on the channel characteristics and is more significant if the channel is dispersive.

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Section: B For Qpsk Modulationmentioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Reducing the number of neighbors in the received constellation of d<inf>min</inf> precoded MIMO systems

Ngo

Berder

Scalart

2011

2011 IEEE Wireless Communications and Networking Conference

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“…Moreover, when channel state information (CSI) is available at the transmitter, linear precoding can be used to further improve system performance by tailoring the transmission to the instantaneous channel conditions [2]- [5] while retaining the benefits of alllinear processing. CSI at the transmitter is mandatory in the multiuser downlink, where a base station attempts to communicate simultaneously with multiple users.…”

Section: Iintroductionmentioning

confidence: 99%

Channel estimation for multiuser MIMO-OFDM systems based on Kalman algorithms

Kumar¹

2014

IOSRJECE

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I. IintroductionIt is now widely accepted that multiple input multiple output (MIMO) systems increase the link reliability and/or spectral efficiency of multiuser wireless communications [1]. Moreover, when channel state information (CSI) is available at the transmitter, linear precoding can be used to further improve system performance by tailoring the transmission to the instantaneous channel conditions [2]-[5] while retaining the benefits of alllinear processing. CSI at the transmitter is mandatory in the multiuser downlink, where a base station attempts to communicate simultaneously with multiple users. On a different front, orthogonal frequency division ultiplexing (OFDM) is a simple, and now well-accepted, technique to mitigate the effects of intersymbol interference in frequency selective channels [6]. OFDM converts a broadband frequency selective channel to a series of narrowband channels by transmitting data in parallel over many subcarriers. Combining OFDM with MIMO, producing so called MIMO-OFDM, significantly reduces receiver complexity in wireless multiuser broadband systems [7], thus making it a competitive choice for future broadband wireless communication systems. Since OFDM uses multiple subcarriers, optimal linear precoding for MIMO-OFDM can be implemented by deriving linear precoders for each subcarrier independently.However, due to the generally large number of subcarriers, the computational load is excessive, and this approach is probably impossible to implement in practice. Furthermore, this approach is computationally inefficient since the MIMO channels associated with adjacent subcarriers are highly correlated; the precoder and decoders are correlated as well. II. MU-MIMO-OFDM system overviewThe MU-MIMO-OFDM system under consideration is shown in Fig. 1. It consists of K single-antenna users, transmitting to a receiver (the base-station) equipped with N antennas. The users transmit blocks of S OFDM symbols,each containing M sub-carriers. The first Sp OFDM symbols are reserved forpilot symbols, which are known to the receiver. The following S d = S -Sp OFDM symbols contain coded data. The total number of information bearing signal constellation points per block, transmitted from each user, then becomes L = S d M. A forward error correcting code (FEC) with rate R is used to generate codewords, which after interleaving, are mapped onto the L signal constellation points. We restrict our investigations to the case of QPSK. An extension to other constellations is conceptually straightforward, but in general non-trivial [8]. After OFDM modulation and pilot insertion, the users transmit their signals over a frequency selective block fading channel, where the different multiantenna links are independent and identically distributed (IID). The block fading assumption holds if the transmitted data blocks are much shorter than the channel coherence time. Thus, a system with short data blocks transmitted over a channel with moderate Doppler spread is considered. Furthermore, to allow for correct OFDM d...

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“…To efficiently exploit the multi-antenna hardware, an important issue in MIMO system design is to optimize the source precoding matrix [1], [2]. A general framework of optimizing the source precoding matrix has been developed in [2] by using the majorization theory [3].…”

Section: Introductionmentioning

confidence: 99%

Optimality of diagonalization of multi-hop MIMO relays

Rong

Hua

2009

IEEE Trans. Wireless Commun.

113

167

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Abstract-For a two-hop linear non-regenerative multipleinput multiple-output (MIMO) relay system where the direct link between source and destination is negligible, the optimal design of the source and relay matrices has been recently established for a broad class of objective functions. The optimal source and relay matrices jointly diagonalize the MIMO relay system into a set of parallel scalar channels. In this paper, we show that this diagonalization is also optimal for a multihop MIMO relay system with any number of hops, which is a further generalization of several previously established results. Specifically, for Schur-concave objective functions, the optimal source precoding matrix, the optimal relay amplifying matrices and the optimal receiving matrix jointly diagonalize the multihop MIMO relay channel. And for Schur-convex objectives, such joint diagonalization along with a rotation of the source precoding matrix is also shown to be optimal. We also analyze the system performance when each node has the same transmission power budget and the same asymptotically large number of antennas. The asymptotic analysis shows a good agreement with numerical results under a finite number of antennas.Index Terms-MIMO relay network, multi-hop relay, linear non-regenerative relay, majorization.

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Optimal designs for space-time linear precoders and decoders

Cited by 738 publications

References 27 publications

Reducing the number of neighbors in the received constellation of d<inf>min</inf> precoded MIMO systems

Reducing the number of neighbors in the received constellation of d<inf>min</inf> precoded MIMO systems

Channel estimation for multiuser MIMO-OFDM systems based on Kalman algorithms

Optimality of diagonalization of multi-hop MIMO relays

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