A New Blind SLM Scheme With Low Decoding Complexity for OFDM Systems

Joo, Hyun-Seung; Heo, Seok-Joong; Jeon, Hyun-Bae; No, Jong-Seon; Shin, Dong-Joon

doi:10.1109/tbc.2012.2216472

Cited by 37 publications

(24 citation statements)

References 18 publications

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“…(iii) BSLM-II: the BSLM scheme in [20], which applies partition and phase offset techniques with its partition number given by /2.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…Once the optimal is determined in (16), X can be estimated by taking the optimal arguments {̂} of the minimization problems in (17) [20] proposed an BSLM scheme that partitioned the scrambling sequence P ( ) into subsequences and multiplied each subsequence by a phase offset factor to enable the receiver to estimatẽeffectively. In [20], ( ) was defined by ( ) ∈ {0, /2, , 3 /2}, which satisfied the condition of ( ) ∈ Q. The phase offset sequences were given by…”

Section: The Conventional Ml-based Bslm Schemementioning

confidence: 99%

“…In order to reduce implementation complexity, all the values of {M ( , ) } can be computed and stored in memory to be used in search of̂. Once the optimal̂is determined in (20), X can be estimated by taking the optimal arguments {̂} of the minimization problems in (21) . This scheme requires 2 DATA computations of the ML metric |Y −̂( /4) | 2 .…”

Section: The Conventional Ml-based Bslm Schemementioning

confidence: 99%

“…Although the simplified ML detection substantially reduced the complexity, it still had high complexity. In [20], the SI was embedded in the scrambling sequence by partitioning each scrambling sequence into multiple subsequences and multiplying those subsequences by a distinct set of phaseoffsets. While the BSLM scheme in [20] had low complexity, it showed slightly worse bit error rate (BER) performance than other BSLM schemes at a low signal to noise ratio (SNR).…”

Section: Introductionmentioning

confidence: 99%

“…In [20], the SI was embedded in the scrambling sequence by partitioning each scrambling sequence into multiple subsequences and multiplying those subsequences by a distinct set of phaseoffsets. While the BSLM scheme in [20] had low complexity, it showed slightly worse bit error rate (BER) performance than other BSLM schemes at a low signal to noise ratio (SNR). Reference [21] proposed a BSLM scheme that embedded the SI in the scrambling sequence by allocating power-extended scrambling symbols.…”

Section: Introductionmentioning

confidence: 99%

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Blind Selected Mapping with Side Information Estimation Based on the Received Pilot Signal

Yoon

Hwang

Jang

et al. 2018

Wireless Communications and Mobile Computing

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Blind selected mapping (BSLM) is a technique to reduce the peak to average power ratio (PAPR) of OFDM by using a set of scrambling sequences. Since the side information (SI) on the scrambling sequence selected by the transmitter is not directly sent to the receiver in BSLM, the SI needs to be estimated by the receiver. In this paper, a BSLM scheme that applies a new SI estimation approach is proposed. The proposed BSLM scheme estimates the SI by selecting the minimum of the candidate metrics that are computed with the received pilot signal, the pilot symbol sequence, and the scrambling sequences. It is shown by simulation that the proposed BSLM scheme yields better SI error rate (SIER) and bit error rate (BER) performance and lower implementation complexity than four traditional BSLM schemes.

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“…(iii) BSLM-II: the BSLM scheme in [20], which applies partition and phase offset techniques with its partition number given by /2.…”

Section: Numerical Resultsmentioning

confidence: 99%

Section: The Conventional Ml-based Bslm Schemementioning

confidence: 99%

Section: The Conventional Ml-based Bslm Schemementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Blind Selected Mapping with Side Information Estimation Based on the Received Pilot Signal

Yoon

Hwang

Jang

et al. 2018

Wireless Communications and Mobile Computing

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show abstract

Peak‐to‐Average Power Ratio Reduction Techniques

2019

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Multicarrier transmission schemes produce time‐domain (TD) signals with large envelope fluctuations. These signals suffer from nonlinear distortions when passing through a high‐power amplifier (HPA) because of its nonlinear transfer function. Several metrics are used to quantify the envelope fluctuations: peak‐to‐average power ratio (PAPR), crest factor (CF), and cubic metric (CM). Multiple techniques and algorithms have been proposed for reducing such metrics in the literature. This article reviews all the possible PAPR reduction techniques and emphasizes the importance of their application in multicarrier schemes. Besides, new variants adapted to multiple‐input multiple‐output (MIMO) orthogonal frequency division multiplexing (OFDM) are also presented, which take on importance in 5G systems. Finally, a comparison among these techniques is presented in terms of the key aspects considered when designing a 5G system: power increase, implementation complexity, bit error rate (BER) degradation, and required side information. It is shown that the selection of the PAPR reduction technique depends on the application, the system requirements, and the scenario.

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Data Detection of Blind Selective Mapping Using Soft Output Viterbi Algorithm (SOVA)

Adnan,

Wahab

2024

Lecture Notes in Mechanical Engineering

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A New Blind SLM Scheme With Low Decoding Complexity for OFDM Systems

Cited by 37 publications

References 18 publications

Blind Selected Mapping with Side Information Estimation Based on the Received Pilot Signal

Blind Selected Mapping with Side Information Estimation Based on the Received Pilot Signal

Peak‐to‐Average Power Ratio Reduction Techniques

Data Detection of Blind Selective Mapping Using Soft Output Viterbi Algorithm (SOVA)

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