Peak to average power ratio reduction of OFDM signals using peak reduction carriers

Lawrey, E.; Kikkert, C.J.

doi:10.1109/isspa.1999.815777

Cited by 44 publications

(17 citation statements)

References 6 publications

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“…From the problem formulated in (27), if we generate M sample vectors of random phases, then the optimization problem can be expressed as…”

Section: Ce-based Phase Optimization Techniquesmentioning

confidence: 99%

“…The optimal placement can improve the efficiency of the dummy symbols in reducing PAPR. To obtain optimal location of dummy symbols for a fixed number of guard subcarriers N G and for a given number of dummy symbols N v , the exhaustive method can be utilized [27]. In [27], it has been shown that scattered dummy symbol with maximum distance from adjacent dummy symbols outperforms the contiguous placements of the dummy symbols.…”

Section: The Placement Of the Dummy Symbolsmentioning

confidence: 99%

“…To obtain optimal location of dummy symbols for a fixed number of guard subcarriers N G and for a given number of dummy symbols N v , the exhaustive method can be utilized [27]. In [27], it has been shown that scattered dummy symbol with maximum distance from adjacent dummy symbols outperforms the contiguous placements of the dummy symbols. However, exhaustive methods used to obtain optimal placements are not tractable for an OFDM symbols with large number of subcarriers.…”

Section: The Placement Of the Dummy Symbolsmentioning

confidence: 99%

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Combined channel estimation and PAPR reduction technique for MIMO–OFDM systems with null subcarriers

Manasseh

Ohno

Nakamoto

2012

J Wireless Com Network

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In this article, we address the challenges regarding the provision of channel state information as well as reducing peak-to-average power ratio (PAPR) of a multiple input multiple output orthogonal frequency multiplexing (MIMO-OFDM) system. The mean squared error (MSE) of the channel estimate is adopted as the optimization criterion to design pilot symbols for channel estimation in MIMO-OFDM systems with null subcarriers. We design the placement and power distribution to the pilot symbols for multiple transmit antennas to minimize the MSE of the least square (LS) channel estimates. To reduce interference of the pilot symbols transmitted from different antennas, an algorithm to guarantee that pilot symbols are disjoint from any other transmitter pilot set is proposed. To efficiently reduce the PAPR of the MIMO-OFDM signals, a method that mixes dummy symbols and phase information of the pilot symbols is presented. Simulation results based on IEEE 802.16e are presented to illustrate the superior performance of our proposed channel estimation method over the existing standard and the partially equi-spaced pilot symbols. We also demonstrate that, by mixing the dummy symbols and phase information of the pilot symbols, the PAPR of the MIMO-OFDM signals can significantly be reduced.

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“…From the problem formulated in (27), if we generate M sample vectors of random phases, then the optimization problem can be expressed as…”

Section: Ce-based Phase Optimization Techniquesmentioning

confidence: 99%

Section: The Placement Of the Dummy Symbolsmentioning

confidence: 99%

Section: The Placement Of the Dummy Symbolsmentioning

confidence: 99%

See 1 more Smart Citation

Combined channel estimation and PAPR reduction technique for MIMO–OFDM systems with null subcarriers

Manasseh

Ohno

Nakamoto

2012

J Wireless Com Network

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“…However, these so-called dummy tones or compensation tones are restricted to carry weighted sums of the data symbols, respectively. Moreover, the basic idea of this approach has been exploited for reducing the peakto-average-power ratio (PAPR) [15].…”

Section: Cancellation Carriersmentioning

confidence: 99%

“…Hence, the index Q is coded in bits and sent to Rx via a signalling channel. For example, assuming an OFDM system with N subcarriers modulated with M-ary PSK or M-ary QAM symbols, the overhead for signalling information is = log 2 (P) / log 2 (M) · N + log 2 (P) (15) which is negligible for large N and/or M. In Equation (15) [7]. For illustration purposes, one of the most promising approaches namely the symbol constellation approach is discussed in the following.…”

Section: Multiple-choice Sequencesmentioning

confidence: 99%

Techniques for reducing out‐of‐band radiation in OFDM based transmission systems

Brandes¹,

Cosovic²,

Schnell³

2010

Trans Emerging Tel Tech

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SUMMARYOrthogonal frequency-division multiplexing (OFDM) suffers from high out-of-band radiation that prohibits the efficient use of the available spectrum particularly in OFDM based overlay systems. Recently, three different techniques for sidelobe suppression have been proposed and are recapitulated in this paper. One approach referred to as subcarrier weighting is based on weighting the individual subcarriers such that their sidelobes cancel each other. Alternatively, cancellation carriers are inserted at the edges of the spectrum in order to cancel the sidelobes of the transmit (Tx) signal. Thirdly, with the multiple choice sequences method, the symbol vector is transformed into multiple equivalent Tx sequences and the one with the lowest sidelobe power is transmitted. Sidelobes are reduced significantly at the expense of a slightly increased bit error rate or a reduced throughput. In order to further improve performance, in the paper, the combination with Tx windowing and reasonable combinations of the three methods are proposed and investigated. Simulation results show that the suppression achieved with the joint application of two techniques considerably exceeds the suppression achieved with the methods applied separately.

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Multi‐carrier platform for wireless communications. Part 2: OFDM and MC‐CDMA systems with high‐performance, high‐throughput via innovations in spreading

Nassar

Natarajan

Wiegandt

et al. 2002

Wireless Communications

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Multi-carrier technologies in general, and OFDM and MC-CDMA in particular, are an integral part of the wireless landscape. In this second part of a two-part survey, the authors present an innovative set of spreading codes known as CI codes, and demonstrate how these significantly increase performance and capacity in OFDM and MC-CDMA systems, all the while eliminating PAPR concerns. Regarding OFDM: the spreading of each symbol over all N carriers using CI spreading codes (replacing the current one symbol per carrier strategy) are presented. CI codes are ideally suited for spreading OFDM since, when compared to traditional OFDM, CI-based OFDM systems achieve the performance of coded OFDM (COFDM) while maintaining the throughput of uncoded OFDM, and, at the same time, eliminate PAPR concerns. When applied to MC-CDMA, CI codes provide a simple means of supporting 2N users on N carriers while maintaining the performance of an N -user Hadamard Walsh code MC-CDMA system, i.e., CI codes double MC-CDMA network capacity without loss in performance. The CI codes used in OFDM and MC-CDMA systems are directly related to the CI pulse (chip) shapes used to enhance TDMA and DS-CDMA (see part 1): hence, the CI approach provides a common hardware platform for today's multi-carrier/multiple-access technologies, enabling software radio applications.

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Peak to average power ratio reduction of OFDM signals using peak reduction carriers

Cited by 44 publications

References 6 publications

Combined channel estimation and PAPR reduction technique for MIMO–OFDM systems with null subcarriers

Combined channel estimation and PAPR reduction technique for MIMO–OFDM systems with null subcarriers

Techniques for reducing out‐of‐band radiation in OFDM based transmission systems

Multi‐carrier platform for wireless communications. Part 2: OFDM and MC‐CDMA systems with high‐performance, high‐throughput via innovations in spreading

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