Iterative Overlap TD-QRM-ML Block Signal Detection for Single-Carrier Transmission without CP Insertion

Moroga, Hideyuki; Yamamoto, T.; Adachi, Fumiyuki

doi:10.1109/vtcfall.2012.6399053

Cited by 3 publications

(6 citation statements)

References 8 publications

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“…It can be seen from (7), (10), and (11) that the modified stacked received symbol vector is similar to the SISO case [14] as shown in Fig. 3.…”

Section: Modification Of the Stacked Received Symbol Vectormentioning

confidence: 72%

“…Overlap QRM-MLBD for SISO systems [13,14] utilizes the property that the IBI from the next block, which cannot be removed in the initial iteration stage, exists only on the elements near the bottom of the received symbol vector. QRM-MLBD is applied to the received symbol vector and then, the residual IBI is significant near the end of N c -symbol block after QRM-MLBD.…”

Section: Modification Of the Stacked Received Symbol Vectormentioning

confidence: 99%

“…Data demodulation is carried out by tracing back the path having the smallest path metric at the last stage. In this paper, the stopping criterion [14] can be applied similarly to the SISO case to stop the tree search at an earlier stage to reduce the detection complexity. It can be seen from (12) and (13) that the branch metric beyond the (N t L +n)th stage does not affect the detection of the n/N t th data symbol transmitted from the (n mod N t )th transmit antenna, where x represents the largest integer smaller than or equal to x.…”

Section: Qrm-mlbdmentioning

confidence: 99%

“…In [13,14], we presented the SC transmission using time-domain iterative overlap QRM-MLBD with no CP insertion for single-input single-output (SISO) systems. In overlap QRM-MLBD, the concept of overlap processing is applied to QRM-MLBD, in which the received symbol stream is divided into a sequence of blocks of X symbols each and then, QRM-MLBD is applied to an extended block of N c + L − 1 symbols to detect an N c -symbol block including the X -symbol block of interest at the beginning, where L denotes the channel length in symbols (in this paper, the channel is assumed to be composed of symbol-spaced L propagation paths).…”

Section: Introductionmentioning

confidence: 99%

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Iterative Overlap QRM-ML Block Detection for Single-Carrier MIMO Transmission Without CP Insertion

Moroga

Yamamoto

Adachi

2014

Wireless Pers Commun

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QR decomposition and M-algorithm based near maximum likelihood block detection (QRM-MLBD) significantly improves the single-carrier (SC) multiple-input multipleoutput (SC-MIMO) transmission performance in a frequency-selective fading channel. In the conventional QRM-MLBD, the cyclic prefix (CP) is inserted in order to avoid the inter-block interference (IBI). However, CP insertion reduces the transmission efficiency. In this paper, an iterative overlap QRM-MLBD is proposed for SC-MIMO transmission with no CP insertion. It is confirmed by computer simulation that the iterative overlap QRM-MLBD with no CP insertion provides improved throughput performance while reducing the computational complexity over the conventional QRM-MLBD with CP insertion.

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“…It can be seen from (7), (10), and (11) that the modified stacked received symbol vector is similar to the SISO case [14] as shown in Fig. 3.…”

Section: Modification Of the Stacked Received Symbol Vectormentioning

confidence: 72%

Section: Modification Of the Stacked Received Symbol Vectormentioning

confidence: 99%

Section: Qrm-mlbdmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Iterative Overlap QRM-ML Block Detection for Single-Carrier MIMO Transmission Without CP Insertion

Moroga

Yamamoto

Adachi

2014

Wireless Pers Commun

Self Cite

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show abstract

“…In addition, interleaving before THP and de-interleaving after THP at the transmitter are applied to improve the accuracy of the perturbation vector search by M algorithm. The extended channel matrix in SC-TDTHP is a sparse matrix, and hence the interleaving generates zero elements in triangular part of the equivalent channel matrix [16], [17].…”

Section: Introductionmentioning

confidence: 99%

Single-Carrier Multi-User MIMO Downlink with Time-Domain Tomlinson-Harashima Precoding

Yoshioka

Kumagai

Adachi

2016

IEICE Trans. Commun.

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Nonlinear precoding improves the downlink bit error rate (BER) performance of multiuser multiple-input multiple-output (MU-MIMO). Broadband single-carrier (SC) block transmission can improve the capability that nonlinear precoding reduces BER, as it provides frequency diversity gain. This paper considers Tomlinson-Harashima precoding (THP) as a nonlinear precoding scheme for SC-MU-MIMO downlink. In the SC-MU-MIMO downlink with frequency-domain THP proposed by Degen and Rrühl (called SC-FDTHP), the inter-symbol interference (ISI) is suppressed by transmit frequency-domain equalization (FDE) after suppressing the inter-user interference (IUI) by frequency-domain THP. Transmit FDE increases the signal variance, hence transmission performance improvement is limited. In this paper, we propose a new SC-MU-MIMO downlink with time-domain THP which can pre-remove both ISI and IUI (called SC-TDTHP) if perfect channel state information (CSI) is available. Modulo operation in THP suppresses the signal variance increase caused by ISI and IUI pre-removal, and hence the transmission quality improves. For further performance improvement, vector perturbation is introduced to SC-TDTHP (called SC-TDTHP w/VP). Computer simulation shows that SC-TDTHP achieves better BER performance than SC-FDTHP and that SC-TDTHP w/VP offers further improvement in BER performance over SC-MU-MIMO with VP (called SC-VP). Computational complexity is also compared and it is showed that SC-TDTHP and SC-TDTHP w/VP incur higher computational complexity than SC-FDTHP but lower than SC-VP.

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Carrier Diversity Incorporation to Low-Complexity Near-ML Detection for Multicarrier Systems over V2V Radio Channel

Puerto-Flores

Pena-Campos

Parra-Michel

et al. 2021

Sensors

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Inter-carrier interference (ICI) in vehicle to vehicle (V2V) orthogonal frequency division multiplexing (OFDM) systems is a common problem that makes the process of detecting data a demanding task. Mitigation of the ICI in V2V systems has been addressed with linear and non-linear iterative receivers in the past; however, the former requires a high number of iterations to achieve good performance, while the latter does not exploit the channel’s frequency diversity. In this paper, a transmission and reception scheme for low complexity data detection in doubly selective highly time varying channels is proposed. The technique couples the discrete Fourier transform spreading with non-linear detection in order to collect the available channel frequency diversity and successfully achieving performance close to the optimal maximum likelihood (ML) detector. When compared with the iterative LMMSE detection, the proposed system achieves a higher performance in terms of bit error rate (BER), reducing the computational cost by a third-part when using 48 subcarriers, while in an OFDM system with 512 subcarriers, the computational cost is reduced by two orders of magnitude.

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Iterative Overlap TD-QRM-ML Block Signal Detection for Single-Carrier Transmission without CP Insertion

Cited by 3 publications

References 8 publications

Iterative Overlap QRM-ML Block Detection for Single-Carrier MIMO Transmission Without CP Insertion

Iterative Overlap QRM-ML Block Detection for Single-Carrier MIMO Transmission Without CP Insertion

Single-Carrier Multi-User MIMO Downlink with Time-Domain Tomlinson-Harashima Precoding

Carrier Diversity Incorporation to Low-Complexity Near-ML Detection for Multicarrier Systems over V2V Radio Channel

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