Derivation of PAPR Distribution for OFDM Wireless Systems Based on Extreme Value Theory

Jiang, Tao; Guizani, Mohsen; Chen, Hsiao‐Hwa; Xiang, Weidong; Wu, Yiyan

doi:10.1109/twc.2008.060862

Cited by 114 publications

(74 citation statements)

References 18 publications

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“…The magnitude of each correlation function W u [w] can be represented by a Rayleigh probability density function (PDF) since it is positive valued and is obtained from the magnitudes of a Gaussian distributed complex numbers [31]. By letting x = W u [w] , the PDF of x is represented as [32] F(x) = x Θ 2 exp(−x 2 /2Θ 2 ), x > 0 where Θ is the scale parameter of the Rayleigh distribution, which is a measure of the spread of the distribution.…”

Section: Appendix: Rayleigh Pdf Of W U [W]mentioning

confidence: 99%

A selective control information detection scheme for OFDM receivers

2016

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In wireless communications, both control information and payload (user-data) are concurrently transmitted and required to be successfully recovered. This paper focuses on block-level detection, which is applicable for detecting transmitted control information, particularly when this information is selected or chosen from a finite set of information that are known at both transmitting and receiving devices. Using an orthogonal frequency division multiplexing architecture, this paper investigates and evaluates the performance of a time-domain decision criterion in comparison with a form of Maximum Likelihood (ML) estimation method. Unlike the ML method, the proposed time-domain detection technique requires no channel estimation as it uses the correlation (in the time-domain) that exists between the received and the transmitted selective information as a means of detection. In comparison with the ML method, results show that the proposed method offers improved detection performance, particularly when the control information consists of at least 16. However, the implementation of the proposed method requires a slightly increased number of mathematical computations.

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Section: Appendix: Rayleigh Pdf Of W U [W]mentioning

confidence: 99%

A selective control information detection scheme for OFDM receivers

2016

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“…Finally, the length of the OFDM signal x is further extended by a cyclic prefix (CP) to mitigate channel fading, reduce inter-symbol interference (ISI) and facilitate the use of frequency-domain equalisation [18]. The PAPR of x is calculated from [19] PAPR{x} = max |x| 2 E |x| 2 (6) where E{·} denotes expectation function. Note that the use of CP has no noticeable influence on the PAPR evaluations [20].…”

Section: Transmittermentioning

confidence: 99%

“…Due to the use of the clustered SLM sequences defined in (19) and with respect to one of the pilot terms (e.g.…”

Section: Ecm Demodulation and Si Cancellationmentioning

confidence: 99%

A joint OFDM PAPR reduction and data decoding scheme with no SI estimation

Adegbite

McMeekin

Stewart

2016

J Wireless Com Network

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The need for side information (SI) estimation poses a major challenge when selected mapping (SLM) is implemented to reduce peak-to-average power ratio (PAPR) in orthogonal frequency division multiplexing (OFDM) systems. Recent studies on pilot-assisted SI estimation procedures suggest that it is possible to determine the SI without the need for SI transmission. However, SI estimation adds to computational complexity and implementation challenges of practical SLM-OFDM receivers. To address these technical issues, this paper presents the use of a pilot-assisted cluster-based phase modulation and demodulation procedure called embedded coded modulation (ECM). The ECM technique uses a slightly modified SLM approach to reduce PAPR and to enable data recovery with no SI transmission and no SI estimation. In the presence of some non-linear amplifier distortion, it is shown that the ECM method achieves similar data decoding performance as conventional SLM-OFDM receiver that assumed a perfectly known SI and when the SI is estimated using a frequency-domain correlation approach. However, when the number of OFDM subcarriers is small and due to the clustering in ECM, the modified SLM produces a smaller PAPR reduction gain compared with conventional SLM.

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“…E[ •] denote the expected value, x n represents the transmitted OFDM signals which are obtained by taking IFFT operation on modulated input symbols X k . x n is also expressed as [12] (2)…”

Section: Peak-to-average Power Ratio-paprmentioning

confidence: 99%

“…In general, more reduction in PAPR is likely to achieved when U in-creases. [12]. In addition, Bu is defined as:…”

Section: Selective Level Mapping -Slmmentioning

confidence: 99%