A Low Complexity Suboptimal Energy-Based Detection Method for SISO/MIMO Channels

Soltani, Mohammad; Aghaeinia, Hassan; Alimadadi, Mohammadreza

doi:10.1007/s11277-014-1672-8

Cited by 3 publications

(1 citation statement)

References 12 publications

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“…The candidate solution in GA is presented as a chromosome. Chromosome naturally includes breeding and mutation behaviour proposed by [16] and Soltani et al [17]. Same as this phenomenon, the new population is produced by reproduction and mutation.…”

Section: System Modelmentioning

confidence: 99%

Time complexity analysis of GA-based variants uplink MC-CDMA system

et al. 2019

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Complexity plays a very significant role in real-time problems. A genetic algorithm (GA)-based multiple input multiple output for an uplink multi-carrier code-division multiple-access (MC-CDMA) receiver is being considered as an important pillar in real-time wireless communication problems. Bit error rate (BER) and minimum mean square error (MMSE) are well-known system performance evolution parameters to estimate the real-time system standards. Sometimes, the multiple solutions give the same BER and MMSE, and then, the complexity is one of the core aspects that will outline the suitable candidate solution. In this article, the proposed drift analysis is being used for the complexity analysis among these GA-based variations. It is observed that the time complexity of the proposed GA-based MC-CDMA with weight relation is less as compared to without weight relation, due to empowering of an exceptional relationship to find out the required solution. Keywords Multi-carrier code-division multiple access (MC-CDMA) • Minimum mean square error (MMSE) • Multiuser detection (MUD) • Bit error rate (BER) • Multiple input multiple output (MIMO) • Genetic algorithm (GA) • Channel estimation (CE)

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Section: System Modelmentioning

confidence: 99%

Time complexity analysis of GA-based variants uplink MC-CDMA system

et al. 2019

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A hybrid method to reduce the complexity of k-best sphere decoding algorithm

Soltani

Alimadadi

Amindavar

2014

2014 22nd Iranian Conference on Electrical Engineering (ICEE)

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LDPC-CPM Scheme and Its Iterative Receiving for MIMO System

Xue¹,

Lv²,

Cao³

2017

IJCNS

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One of the advantages of Multiple-Input Multiple-Output (MIMO) techniques is that they can provide link throughput, but the reliability of them remains to be improved. In order to improve the performance of bit error, based on the decomposed model of continuous phase modulation (CPM), combined with LDPC code and random interweaver, a scheme of joint coded modulation is introduced. In this paper, the model of LDPC-CPM iterative MIMO system is established firstly, then scheme of receiver by iterative detection realized and the decoding is proposed, finally the effect of main parameters on the performance of the system is studied, which can provide the reference basis for practical application. The research results show that the proposed scheme can improve channel capacity and BER performance in the background of extremely low SNR effectively, and give attention to both high-speed transmission and reliable transmission.

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A Low Complexity Suboptimal Energy-Based Detection Method for SISO/MIMO Channels

Cited by 3 publications

References 12 publications

Time complexity analysis of GA-based variants uplink MC-CDMA system

Time complexity analysis of GA-based variants uplink MC-CDMA system

A hybrid method to reduce the complexity of k-best sphere decoding algorithm

LDPC-CPM Scheme and Its Iterative Receiving for MIMO System

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