Robust Preamble Design for Synchronization, Signaling Transmission, and Channel Estimation

Gao, Zhen; Zhang, Chao; Hanzo, Lajos

doi:10.1109/tbc.2014.2376134

Cited by 43 publications

(13 citation statements)

References 19 publications

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“…Besides, the optimal strategy is achieved via exhaustive search. The perfect synchronization is assumed [16], and we assume the perfect channel estimation [17]- [19].…”

Section: Monte Carlo Simulation Resultsmentioning

confidence: 99%

Spectral Efficiency Maximization for Spatial Modulation Aided Layered Division Multiplexing: An Injection Level Optimization Perspective

Sun

Wang

Chen

et al. 2018

2018 14th International Wireless Communications &Amp; Mobile Computing Conference (IWCMC)

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The layered division multiplexing (LDM) is recently combined with spatial modulation (SM) systems to provide a more efficiency way for broadcasting transmission. In SM aided LDM (SM-LDM) systems, the service of each layer, which is allocated with different power, is transmitted via SM scheme. In this paper, a gradient descent based iterative method is proposed to optimize the injection level, which can enhance the spectral efficiency (SE) in the two-layer SM-LDM systems with maximum ratio combining (MRC). In addition, the concavity analysis of this optimization problem is also conducted. Monte Carlo simulations are also provided to verify the effectiveness of our proposed injection level optimization method.

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“…Besides, the optimal strategy is achieved via exhaustive search. The perfect synchronization is assumed [16], and we assume the perfect channel estimation [17]- [19].…”

Section: Monte Carlo Simulation Resultsmentioning

confidence: 99%

Spectral Efficiency Maximization for Spatial Modulation Aided Layered Division Multiplexing: An Injection Level Optimization Perspective

Sun

Wang

Chen

et al. 2018

2018 14th International Wireless Communications &Amp; Mobile Computing Conference (IWCMC)

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“…We consider a downlink mmWave massive MIMO system with perfect synchronization (this can be achieved by efficient algorithms like [26], [46]) as shown in Fig. 2, where both the BS and the user employ the uniform planar array (UPA), and OFDM is adopted to combat the frequency-selective fading channels.…”

Section: System Modelmentioning

confidence: 99%

“…This could lead to the extremely unbalanced antenna grouping case that no antenna is assigned to one RF chain, and thus the SE performance is degraded. By contrast, the proposed antenna grouping algorithm introduces the mutual correlation metric (26), which can effectively avoid this issue. Besides, Fig.…”

Section: Bermentioning

confidence: 99%

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Principal Component Analysis Based Broadband Hybrid Precoding for Millimeter-Wave Massive MIMO Systems

Sun

Gao

Wang

et al. 2019

Preprint

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Hybrid analog-digital precoding is challenging for broadband millimeter-wave (mmWave) massive MIMO systems, since the analog precoder is frequency-flat but the mmWave channels are frequency-selective. In this paper, we propose a principal component analysis (PCA)-based broadband hybrid precoder/combiner design, where both the fully-connected array and partially-connected subarray (including the fixed and adaptive subarrays) are investigated. Specifically, we first design the hybrid precoder/combiner for fully-connected array and fixed subarray based on PCA, whereby a low-dimensional frequency-flat precoder/combiner is acquired based on the optimal high-dimensional frequency-selective precoder/combiner. Meanwhile, the near-optimality of our proposed PCA approach is theoretically proven. Moreover, for the adaptive subarray, a low-complexity shared agglomerative hierarchical clustering algorithm is proposed to group the antennas for the further improvement of spectral efficiency (SE) performance. Besides, we theoretically prove that the proposed antenna grouping algorithm is only determined by the slow time-varying channel parameters in the large antenna limit. Simulation results demonstrate the superiority of the proposed solution over state-of-the-art schemes in SE, energy efficiency (EE), bit-error-rate performance, and the robustness to time-varying channels. Our work reveals that the EE advantage of adaptive subarray over fully-connected array is obvious for both active and passive antennas, but the EE advantage of fixed subarray only holds for passive antennas.

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“…Pilot Symbol Assisted Modulation (PSAM), where pilots occupy certain time/slots subcarriers which waste valuable bandwidth [3], is commonly used. In broadcasting applications as Digital Video Broadcasting (DVB) scattered and continual pilots are considered for the framing structure in channel estimation [4].…”

Section: Introductionmentioning

confidence: 99%

Partial-Data Superimposed Training With Data Precoding for OFDM Systems

Estrada-Jiménez

García

2019

IEEE Trans. on Broadcast.

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Superimposed Training (ST) is a recently addressed technique used for channel estimation where known training sequences are arithmetically added to data symbols, avoiding the use of dedicated pilot subcarriers, and thus, increasing the available bandwidth compared with traditional Pilot Symbol Assisted Modulation (PSAM) schemes. However, the system handles data interference over channel estimation as a result of the ST process; also, data detection is degraded by pilot interference. Recent ST methods have analyzed the data interference and presented schemes that deal with it. We propose a novel superimposed model over a precoded data scheme, named Partial-Data Superimposed Training (PDST), where an interference control factor assigns the adequate information level to be added to the training sequence in Orthogonal Frequency Division Multiplexing (OFDM) systems. Also, a data detection method is introduced to improve the Symbol Error Rate (SER) performance. Moreover, a capacity analysis of the system has been derived. Finally, simulation results confirm that performance of PDST is superior to previous proposals.

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Robust Preamble Design for Synchronization, Signaling Transmission, and Channel Estimation

Cited by 43 publications

References 19 publications

Spectral Efficiency Maximization for Spatial Modulation Aided Layered Division Multiplexing: An Injection Level Optimization Perspective

Spectral Efficiency Maximization for Spatial Modulation Aided Layered Division Multiplexing: An Injection Level Optimization Perspective

Principal Component Analysis Based Broadband Hybrid Precoding for Millimeter-Wave Massive MIMO Systems

Partial-Data Superimposed Training With Data Precoding for OFDM Systems

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