Precoder Design for Multiuser MIMO ISI Channels Based on Iterative LMMSE Detection

Yuan, Xiaojun; Xu, Chongbin; Li, Ping; Lin, Xiao

doi:10.1109/jstsp.2009.2035859

Cited by 34 publications

(49 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The power of each symbol is assumed to be normalized. Without CSIT (i.e., α = 0), we adopt the following linear precoder structure developed in [16] …”

Section: Linear Precoding Without Csitmentioning

confidence: 99%

“…This precoder structure provides diversity advantage [16]. Denote by A = HP the equivalent NM R × NM T channel matrix.…”

Section: Linear Precoding Without Csitmentioning

confidence: 99%

“…VC Q and I CV Q are used to predict the bit error rate (BER) and frame error rate (FER) performance [2], [16], [21].…”

Section: Exit Chart Analysismentioning

confidence: 99%

“…We first assume that CSIT is perfect (α = 1) so H is accurately known at the transmitter. Following [16], we can modify the precoder in (7) to the following form…”

Section: Perfect Csit Casementioning

confidence: 99%

“…In principle, the diagonal entries of W have a water-filling effect [16]. Roughly speaking, the use of W allocates more energy to channel directions with high gains and vise versa.…”

Section: Perfect Csit Casementioning

confidence: 99%

See 4 more Smart Citations

Spatially Coupled LDPC Coding and Linear Precoding for MIMO Systems

Zhang

Ping

2012

IEICE Trans. Commun.

Self Cite

View full text Add to dashboard Cite

SUMMARYIn this paper, we present a transmission scheme for a multiple-input multiple-output (MIMO) quasi-static fading channel with imperfect channel state information at the transmitter (CSIT). In this scheme, we develop a precoder structure to exploit the available CSIT and apply spatial coupling for further performance enhancement. We derive an analytical evaluation method based on extrinsic information transfer (EXIT) functions, which provides convenience for our precoder design. Furthermore, we observe an area property indicating that, for a spatially coupled system, the iterative receiver can perform error-free decoding even the original uncoupled system has multiple fixed points in its EXIT chart. This observation implies that spatial coupling is useful to alleviate the uncertainty in CSIT which causes difficulty in designing LDPC code based on the EXIT curve matching technique. Numerical results are presented, showing an excellent performance of the proposed scheme in MIMO fading channels with imperfect CSIT.

show abstract

“…The power of each symbol is assumed to be normalized. Without CSIT (i.e., α = 0), we adopt the following linear precoder structure developed in [16] …”

Section: Linear Precoding Without Csitmentioning

confidence: 99%

“…This precoder structure provides diversity advantage [16]. Denote by A = HP the equivalent NM R × NM T channel matrix.…”

Section: Linear Precoding Without Csitmentioning

confidence: 99%

“…VC Q and I CV Q are used to predict the bit error rate (BER) and frame error rate (FER) performance [2], [16], [21].…”

Section: Exit Chart Analysismentioning

confidence: 99%

“…We first assume that CSIT is perfect (α = 1) so H is accurately known at the transmitter. Following [16], we can modify the precoder in (7) to the following form…”

Section: Perfect Csit Casementioning

confidence: 99%

“…In principle, the diagonal entries of W have a water-filling effect [16]. Roughly speaking, the use of W allocates more energy to channel directions with high gains and vise versa.…”

Section: Perfect Csit Casementioning

confidence: 99%

See 3 more Smart Citations