Efficient soft bit estimation for joint iterative multiple‐input multiple‐output detection

Ahmed, Saleem; Kim, Sooyoung

doi:10.1049/iet-com.2015.0225

Cited by 16 publications

(4 citation statements)

References 20 publications

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“…The further complexity can be reduced by using a single distance calculation method in order to find the soft information for each bit. The hard decision threshold (HDT) scheme is an efficient single distance calculation method which can calculate of the kth bit using [9]:…”

Section: Single Inversion Based Three Loop Methodsmentioning

confidence: 99%

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Efficient Method for Three Loop MMSE-SIC based Iterative MIMO Systems

Bhutto¹,

Ahmed²,

Muhammad³

et al. 2020

IJACSA

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Iterative decoding is one of the promising methods to improve the performance of MIMO systems. In iterative processing channel decoder and MIMO detector share the information in order to enhance the overall system performance. However, iterative processing requires a lot of computations therefore it is considered as a computationally complex approach due to complex detection schemes involving iterative processing. There are several promising detection methods that require further improvements and they can be candidates in order to practically implement iterative processing. In this paper, the propose method to improve the efficiency of three loop-based minimum mean squared errors with soft interference cancellation (MMSE-SIC) method by reducing its complexity with a single inverse operation. Simulation results are given in order to provide detail analysis of the proposed MMSE-SIC based approach for iterative detection and decoding (IDD).

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Section: Single Inversion Based Three Loop Methodsmentioning

confidence: 99%

“…There have been considerable performance enhancements in the MMSE-SIC method. In [9], the author used two approaches to enhance the performance of the MMSE-SIC method. First, a posteriori information is used to enhance the performance of the MMSE-SIC method and complexity is reduced by hard decision threshold (HDT) method.…”

Section: Introductionmentioning

confidence: 99%

Efficient Method for Three Loop MMSE-SIC based Iterative MIMO Systems

Bhutto¹,

Ahmed²,

Muhammad³

et al. 2020

IJACSA

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“…Recently, JIDD schemes that are based on the minimum mean square error (MMSE) method gained a lot of attention due to a sound performance–complexity trade‐off for coded MIMO systems [2]. Given that the critical disadvantage of the MMSE‐based detection is error propagation (EP), a new method for the suppression of the EP problem was proposed [3]. In this work, the a posteriori information from the soft interference‐cancellation (IC) process was additionally employed, the reliability of the soft‐symbols was therefore enhanced, and this eventually resulted in a performance enhancement; however, the incorporation of the a posteriori information prevents the parallel processing of the IC process.…”

Section: Introductionmentioning

confidence: 99%

Iterative MMSE‐based soft MIMO detection with parallel interference cancellation

2017

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“…Recently, a number of researches reported results on minimum mean square error (MMSE) based MIMO detection schemes with soft iterative processes, due to their reasonable performance and complexity trade-offs [2] [3]. The parallel interference cancellation with MMSE (PIC-MMSE) MIMO detection schemes were proposed in order to enhance the performance as well as the computational efficiency compared to the conventional MMSE-based scheme [4] [5] [6].…”

Section: Introductionmentioning

confidence: 99%

Soft Iterative Linear Detection for LDPC Coded MIMO Scheme with PSK

Zhang¹,

Kim²

2017

IJCNS

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A number of study results demonstrated that the performance of the coded MIMO scheme can be highly enhanced by incorporating iterative decoding and detection scheme by exchanging soft information between the symbol detector and decoder. One of the critical problems of these iterative schemes is an exponential order of the complexity with increase of number of bits in a symbol and the number of antennas. In this paper, we present an efficient iterative detection and decoding scheme for MIMO systems with phase shift keying (PSK) modulation schemes and low density parity check (LDPC) codes. In order to reduce the complexity by the number of antennas, we adopt minimum mean square error (MMSE) based linear detection scheme with parallel interference cancellation. In addition, soft bit estimation is made only with a single distance calculation per bit, with approximating performance to the maximum likelihood detection 1 .

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Efficient soft bit estimation for joint iterative multiple‐input multiple‐output detection

Cited by 16 publications

References 20 publications

Efficient Method for Three Loop MMSE-SIC based Iterative MIMO Systems

Efficient Method for Three Loop MMSE-SIC based Iterative MIMO Systems

Iterative MMSE‐based soft MIMO detection with parallel interference cancellation

Soft Iterative Linear Detection for LDPC Coded MIMO Scheme with PSK

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