Pilot- and CP-Aided Channel Estimation in MIMO Non-Orthogonal Multi-Carriers

Ehsanfar, Shahab; Matthé, Maximilian; Chafii, Marwa; Fettweis, Gerhard

doi:10.1109/twc.2018.2883940

Cited by 20 publications

(21 citation statements)

References 19 publications

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“…4. Adaptive Filtering of the estimated CIRs for b ≤ B blocks full subcarrier allocation, it would be recommended to use the whole x u,i sequence for channel estimation and apply iterative interference cancellation in analogous way as in [22], although, applying such an approach is beyond the scope of this paper.…”

Section: A Mimo Uw-based Lmmse Cementioning

confidence: 99%

On UW-Based Transmission for MIMO Multi-Carriers With Spatial Multiplexing

Ehsanfar

Chafii

Fettweis

2020

IEEE Trans. Wireless Commun.

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In this paper, we design a frame structure for unique word (UW) based transmission of multiple-input-multiple-output (MIMO) systems under doubly-dispersive wireless channel conditions. We elaborate an energy and spectral efficiency analysis of a MIMO UW-based system vs. a conventional MIMO cyclic prefix (CP)-based system. Considering the UW-based transmission for a MIMO multi-carrier, we derive its signal processing algorithms for channel estimation and joint channelequalization-and-demodulation. Through theoretical derivations as well as extensive simulations, we show that the proposed MIMO UW-based system significantly outperforms the state-ofthe-art approaches. I. INTRODUCTION T OWARDS the sixth generation (6G) cellular networks, new applications and use-cases are being enabled for the vertical markets, while also new challenges for a holistic approach and more efficient service provisioning are being defined. Thanks to the flexible physical layer definitions in latest release of fifth generation (5G) New Radio (NR) [1], diverse services namely enhanced-mobile-broadband, ultrareliable-low-latency-communication, and massive machinetype-communication are envisioned to coexist within the same time interval and the same frequency band. A major advancement for realizing this coexistence is the massive multipleinput multiple-output (MIMO) technology which can be used for three key concepts, i.e., beamforming, spatial diversity and spatial multiplexing. While employing the MIMO technology for spatial diversity or spatial multiplexing, the mobility of the users becomes limited because a large number of channel parameters requires a long training sequence that together with the data packet, must fit within the channel coherence time. Unique-word (UW) transmission is a promising candidate that facilitates per-block synchronization and channel estimation [2], [3], [4]. The main concept is to replace the cyclic prefix (CP) of random nature by a deterministic sequence that is known to both transmitter and receiver. Hence, maintaining the advantages of CP in terms of robustness against multipath channels, UW allows fast channel tracking in highly mobile Manuscript

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Section: A Mimo Uw-based Lmmse Cementioning

confidence: 99%

On UW-Based Transmission for MIMO Multi-Carriers With Spatial Multiplexing

Ehsanfar

Chafii

Fettweis

2020

IEEE Trans. Wireless Commun.

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“…It can be observed that the SER performance with channel estimation is very close to the performance with perfect channel state information (denoted as estimated and perfect, respectively). An enhanced channel estimation performance of GFDM which even outperforms OFDM by up to 2.4 dB can be achieved by allocating pilots in the CP at the cost of an increased implementation complexity as shown in [40].…”

Section: B Channel Estimationmentioning

confidence: 99%

Enhanced Remote Areas Communications: The Missing Scenario for 5G and Beyond 5G Networks

Mendes

Moreno

Marquezini³

et al. 2020

IEEE Access

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“…Employing cyclic-prefix (CP) in multi-carrier systems not only protects the signal from inter-symbol-interference but also allows circular interpretations of the channel which simplifies the estimation and equalization techniques. Nevertheless, the CP information is usually discarded at the receiver side [16].…”

Section: A R Fereydouni a Charmin* H Vahdati H Nasir Aghdammentioning

confidence: 99%

Channel Estimation and Carrier Frequency Offset Compensation in Orthogonal Frequency Division Multiplexing System Using Adaptive Filters in Wavelet Transform Domain

Fereydouni

Charmin

Vahdaty

et al. 2020

IJE

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In this paper, a combination of channel, receiver frequency-dependent IQ imbalance, and carrier frequency offset estimation under short cyclic prefix length is considered in orthogonal frequency division multiplexing system. An adaptive algorithm based on the set-membership filtering algorithm is used to compensate for these impairments. In short CP length, per-tone equalization structure is used to avoid inter-symbol interference. Due to CFO impairment and IQ imbalance in the receiver, we will expand the PTEQ structure to a two-branch structure. This structure has high computational complexity, so using the set-membership filtering idea with variable step size while reducing the average computation of the system can also increase the convergence speed of the estimates. On the other hand, applying wavelet transform on each branch of this structure before applying adaptive filters will increase the estimation speed. The proposed algorithm will be named SMF-WP-NLMS-PTEQ. The results of the simulations show better performance than the usual adaptive algorithms. Besides, estimation and compensation of channel effects, receiver IQ imbalance and carrier frequency offset under short CP can be easily accomplished by this algorithm.

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Pilot- and CP-Aided Channel Estimation in MIMO Non-Orthogonal Multi-Carriers

Cited by 20 publications

References 19 publications

On UW-Based Transmission for MIMO Multi-Carriers With Spatial Multiplexing

On UW-Based Transmission for MIMO Multi-Carriers With Spatial Multiplexing

Enhanced Remote Areas Communications: The Missing Scenario for 5G and Beyond 5G Networks

Channel Estimation and Carrier Frequency Offset Compensation in Orthogonal Frequency Division Multiplexing System Using Adaptive Filters in Wavelet Transform Domain

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