On the Capacity of Multicarrier Transmission over Nonlinear Channels

Zillmann, Peter; Fettweis, Gerhard

doi:10.1109/vetecs.2005.1543487

Cited by 22 publications

(12 citation statements)

References 6 publications

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“…This work follows a third approach: If some non-linear distortion at the transmitter is allowed, the requirements on the RF frontend can be relaxed. Information theory shows that signal clipping in an OFDM transmitter only results in a marginal reduction of channel capacity [37], which motivates the search for powerful receive algorithms. Based on Maximum-Likelihood (ML) detection, a suitable algorithm is derived.…”

Section: Non-linear Power Amplifiermentioning

confidence: 99%

Dirty RF: A New Paradigm

Fettweis

Löhning

Petrovic

et al. 2006

Int J Wireless Inf Networks

145

116

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The implementation challenge for new low-cost low-power wireless modem transceivers has continuously been growing with increased modem performance, bandwidth, and carrier frequency. Up to now we have been designing transceivers in a way that we are able to keep the analog (RF) problem domain widely separated from the digital signal processing design. However, with today's deep sub-micron technology, analog impairments -''dirt effects'' -are reaching a new problem level which requires a paradigm shift in the design of transceivers. Examples of these impairments are phase noise, non-linearities, I/Q imbalance, ADC impairments, etc. In the world of ''Dirty RF'' we assume to design digital signal processing such that we can cope with a new level of impairments, allowing lee-way in the requirements set on future RF sub-systems. This paper gives an overview of the topic and presents analytical evaluations of the performance losses due to RF impairments as well as algorithms that allow to live with imperfect RF by compensating the resulting error effects using digital baseband processing.

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Section: Non-linear Power Amplifiermentioning

confidence: 99%

Dirty RF: A New Paradigm

Fettweis

Löhning

Petrovic

et al. 2006

Int J Wireless Inf Networks

145

116

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show abstract

“…A few works have also investigated the effects of nonlinearity on the capacity of communication systems [6], [7], and [8], all of which have focused on the multi-carrier signals given that this signal suffers significant distortions due to nonlinear amplifications. However despite the above works, the impact of device nonlinearity on the capacity of an arbitrary memoryless communication channel has not yet been clearly established from an information theoretic perspective.…”

Section: Introductionmentioning

confidence: 99%

“…However despite the above works, the impact of device nonlinearity on the capacity of an arbitrary memoryless communication channel has not yet been clearly established from an information theoretic perspective. The work in [8] focuses on Volterra nonlinear channels (with memory), while the perspectives of the works in [6], [7], are not on the information theoretic aspects.…”

Section: Introductionmentioning

confidence: 99%

Capacity analysis for Gaussian channels with memoryless nonlinear hardware

Sabbaghian

Sulyman

Tarokh

2013

2013 IEEE International Conference on Communications (ICC)

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This paper presents the analysis of the impact of circuit nonlinearities on the transmission rate of a communication system. We consider a general transmission model that includes transmitter-and receiver-side nonlinearities, environmental thermal noise and receiver chain noise. Using this model we establish lower and upper bounds for the capacity of nonlinear additive white Gaussian noise channels in various thermal noise and receiver noise regimes.

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“…Therefore, it is desirable to reduce the PAPR of the transmit signal prior to transmission. Information-theoretic investigations show only a marginal decrease of channel capacity for amplitude-limited AWGN channels [2]. Nonlinear distortion of the continuous-time signal creates undesired outof-band power.…”

Section: Introductionmentioning

confidence: 99%

Soft Detection and Decoding of Clipped and Filtered COFDM Signals

Zillmann

Rave

Fettweis

2007

2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring

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Clipping and filtering is an attractive method for the reduction of the PAPR of OFDM signals before transmission. However, the resulting distortion noise impacts the error rate performance. An iterative receive algorithm employing soft modulation and soft input-soft output (SISO) decoding is presented, and its coded frame error rate (FER) performance over both AWGN and frequency-selective fading channels is evaluated. The performance of an approach with reduced complexity is also shown.

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On the Capacity of Multicarrier Transmission over Nonlinear Channels

Cited by 22 publications

References 6 publications

Dirty RF: A New Paradigm

Dirty RF: A New Paradigm

Capacity analysis for Gaussian channels with memoryless nonlinear hardware

Soft Detection and Decoding of Clipped and Filtered COFDM Signals

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