Pilot-Based Synchronization and Equalization in Filter Bank Multicarrier Communications

Stitz, Tobias Hidalgo; Ihalainen, Tero; Viholainen, A.; Renfors, Markku

doi:10.1155/2010/741429

Cited by 93 publications

(50 citation statements)

References 32 publications

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“…The filter bank in the proposed system consists of multiple prototype functions for performing modulations. According to conventional concept of FBMC, an empirical expression for synthesis filter will be [30], ) Where L is the channel length, M represents modulated function, and t represents maximum index of time. Therefore, an abstract representation of the filter bank would be (2) , the parameter W will represent Inverse Discrete Fourier Transform matrix, the parameter B will represent a diagonal matrix that consists of elementary multipliers and the parameter A will represent polyphase filters.…”

Section: Methodsmentioning

confidence: 99%

Novel Framework for Enhancing Communication Performance Quality in 5G Networks

Reddy¹,

Padmaja²

2017

IJET

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Abstract-The existing telecommunication standard hypothetically cater up the user's demands at the cost of short delay, power drainage, not so standard throughput. We reviewed the existing literatures of bit loading and power allocation to find more inclination towards 3G and 4G-based enabling technologies (OFDM-Orthogonal Frequency Division Multiplexing) and less towards 5G-based enabling technologies (e.g. FBMC-Filter Bank Multiple Carrier) almost no work is done towards 5G network. Hence, we present a framework of bit loading and power allocation that uses FBMC, incorporates a new encoding, and introduced a novel modulation technique over a stream of signal to find it more optimally supporting the demands of 5G networks. The study outcome was found to possess lower error rate, higher data delivery performance, lower power usage, and faster processing time in comparison to existing legacy standards.

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Section: Methodsmentioning

confidence: 99%

Novel Framework for Enhancing Communication Performance Quality in 5G Networks

Reddy¹,

Padmaja²

2017

IJET

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“…The more common naming AP has been introduced in [39]. The AP is placed at the lattice position with symbol offset µ a and subcarrier offset κ a relative to the associated pilot symbol position, as depicted in Figure 3.…”

Section: A Auxiliary Pilot (Ap)mentioning

confidence: 99%

Scattered Pilot-Based Channel Estimation for Channel Adaptive FBMC-OQAM Systems

Fuhrwerk

Moghaddamnia

Peissig

2017

IEEE Trans. Wireless Commun.

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Abstract-Shaping the pulse of FilterBank MultiCarrier with Offset Quadrature Amplitude Modulation subcarrier modulation (FBMC-OQAM) systems offers a new degree of freedom for the design of mobile communication systems. In previous studies, we evaluated the gains arising from the application of Prototype Filter Functions (PFFs) and subcarrier spacing matched to the delay and Doppler spreads of doubly dispersive channels. In this paper, we investigate the impact of having imperfect channel knowledge at the receiver on the performance of Channel Adaptive Modulation (CAM) in terms of channel estimation errors and Bit Error Rate (BER). To this end, the channel estimation error for two different interference mitigation schemes proposed in the literature is derived analytically and its influence on the BER performance is analyzed for practical channel scenarios. The results show that FBMC-OQAM systems utilizing CAM and scattered pilotbased channel estimation provide a significant performance gain compared with the current one system design for a variety of channel scenarios ("one-fits-all") approach. Additionally, we verified that the often used assumption of a flat channel in the direct neighborhood of a pilot symbol is not valid for practical scenarios.

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“…We know from the literature survey that due to intrinsic interference in FBMC, it requires special pilot design, e.g. auxiliary Towards 5G Wireless Networks -A Physical Layer Perspectivepilots [16], for channel estimation. Otherwise, the performance is severely degraded as can be seen in simulation results presented in Figure 15 for TO = 80 and TO = 150 samples.…”

Section: Impact Of Time Offsetmentioning

confidence: 99%

Analysis of Candidate Waveforms for 5G Cellular Systems

Ijaz¹,

Zhang²,

Xiao³

et al. 2016

Towards 5G Wireless Networks - A Physical Layer Perspective

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Choice of a suitable waveform is a key factor in the design of 5G physical layer. New waveform/s must be capable of supporting a greater density of users, higher data throughput and should provide more efficient utilization of available spectrum to support 5G vision of "everything everywhere and always connected" with "perception of infinite capacity". Although orthogonal frequency division multiplexing (OFDM) has been adopted as the transmission waveform in wired and wireless systems for years, it has several limitations that make it unsuitable for use in future 5G air interface. In this chapter, we investigate and analyse alternative waveforms that are promising candidate solutions to address the challenges of diverse applications and scenarios in 5G.

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Pilot-Based Synchronization and Equalization in Filter Bank Multicarrier Communications

Cited by 93 publications

References 32 publications

Novel Framework for Enhancing Communication Performance Quality in 5G Networks

Novel Framework for Enhancing Communication Performance Quality in 5G Networks

Scattered Pilot-Based Channel Estimation for Channel Adaptive FBMC-OQAM Systems

Analysis of Candidate Waveforms for 5G Cellular Systems

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