Transmit and receive filter design for OFDM based WLAN systems

Xiao, Pei; Toal, C.; Burns, D. C.; Fusco, Vicent; Cowan, C.F.N.

doi:10.1109/wcsp.2010.5633476

Cited by 12 publications

(12 citation statements)

References 1 publication

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“…Therefore, to address the drawbacks of OFDM and enable the aforementioned characteristics, different physical-layer waveforms are being investigated for 5G networks. The waveforms currently under consideration include filtered orthogonal frequency division multiplexing (FOFDM) [4], windowed orthogonal frequency division multiplexing (WOFDM) [5], filterbank multicarrier (FBMC) [6], generalized frequency division multiplexing (GFDM) [7] and universal filtered multicarrier (UFMC) [2]. These waveforms are being investigated to analyse their impacts on the following fundamental requirements of 5G [8]:…”

Section: Wireless Regional Area Network (Wran)mentioning

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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Section: Wireless Regional Area Network (Wran)mentioning

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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“…Gandhi et al [17] analyzed that by applying pulse shaping filter to OFDM system increases the width of main lobe to which the peak power is associated and reduces the amplitude of side lobes with which ICI power is associated which results in improvement of the BER performance of OFDM system. The impact of different pulse shaping filters on the OFDM-based WLAN system standard IEEE 802.11a was studied by [18] and Root Raised Cosine (RRC) matched filters was suggested to improve performance in practical WLAN system. A novel filter approach for reducing undesired ICI caused with carrier frequency offset to improve performance was proposed by Mourad et al [19].…”

Section: Related Workmentioning

confidence: 99%

Implementation of SRRC Filter in Mobile WiMax with DWT Based OFDM System

Kaur¹,

Kumar²,

Sharma³

et al. 2016

IJCNIS

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Abstract-Pulse shaping filter when applied to the symbols generated for transmission in a bandwidth limited systems allow for bandwidth containment that reduces the Inter-Symbol Interference (ISI) arising from multipath signal reflections which further minimizes the probability of errors at the receiver. Wavelets encompass the advantages of transforming and mapping data onto orthogonal subcarriers with optimal flexibility as well as less complexity which leads to increase the bandwidth efficiency of an Orthogonal Frequency Division Multiplexing (OFDM) system. In this paper Square Root Raised Cosine (SRRC) a pulse shaping technique when applied to Discrete Wavelet Transform (DWT) based OFDM system in mobile WiMax is simulated and its performance analysis in terms of Bit Error rate (BER) as a function of Signal to Noise Ratio (SNR) is investigated for various modulation schemes under AWGN channel. The results obtained show that SRRC filter offers to significantly improve BER for the given SNR and enhance the performance of physical layer in Mobile WiMax. The performance measurements and analysis is done in the simulation developed in MATLAB.

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“…Moreover, waveform is also a key factor to determine the interference level. Orthogonal frequency division multiplexing (OFDM) [6] is NOT suitable for this MS system due to the high ISBI caused by its high out of band (OoB) emission level. Several new waveforms are proposed to address the problem, such as universal filtered multi-carrier (UFMC) [3], [7], [8], [9], [10], filtered OFDM (f-OFDM) [4], [11], filter bank multi-carrier (FBMC) [12], [13], [14] and generalized frequency division multiplexing (GFDM) [15], etc.…”

Section: Introductionmentioning

confidence: 99%

Single-rate and multi-rate multi-service systems for next generation and beyond communications

Zhang

Ijaz

Xiao

et al. 2016

2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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Abstract-To flexibly support diverse communication requirements (e.g., throughput, latency, massive connection, etc.) for the next generation wireless communications, one viable solution is to divide the system bandwidth into several service subbands, each for a different type of service. In such a multi-service (MS) system, each service has its optimal frame structure while the services are isolated by subband filtering. In this paper, a framework for multi-service (MS) system is established based on subband filtered multi-carrier (SFMC) modulation. We consider both single-rate (SR) and multi-rate (MR) signal processing as two different MS-SFMC implementations, each having different performance and computational complexity. By comparison, the SR system outperforms the MR system in terms of performance while the MR system has a significantly reduced computational complexity than the SR system. Numerical results show the effectiveness of our analysis and the proposed systems. These proposed SR and MR MS-SFMC systems provide guidelines for next generation wireless system frame structure optimization and algorithm design.

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Transmit and receive filter design for OFDM based WLAN systems

Cited by 12 publications

References 1 publication

Analysis of Candidate Waveforms for 5G Cellular Systems

Analysis of Candidate Waveforms for 5G Cellular Systems

Implementation of SRRC Filter in Mobile WiMax with DWT Based OFDM System

Single-rate and multi-rate multi-service systems for next generation and beyond communications

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