Adaptive Population Sizing Genetic Algorithm Assisted Maximum Likelihood Detection of OFDM Symbols in the Presence of Nonlinear Distortions

Sastry, K. Seshadri; Babu, M. S. Prasad

doi:10.5815/ijcnis.2013.07.07

Cited by 3 publications

(2 citation statements)

References 28 publications

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“…The complexity of generating spreading codes and interleavers' matrix (at the transmitter and receiver side) is a major concern. Especially, when the number of users is high [31]. In this section, this complexity is calculated for our strategy then compared to the complexity of the other techniques.…”

Section: Computational Complexitymentioning

confidence: 99%

Improved IDMA for Multiple Access of 5G

Akbil

Aboutajdine

2022

Int. j. commun. netw. inf. secur.

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Due to its good performance and low complexity, IDMA is believed to be an important technique for future radio access (FRA). However, its performances are highly affected by the interleaver design. In this paper we propose two contributions to improve the performance of the IDMA. First, we propose a new interleaver design, called "NLM interleaver", which improves the computational complexity, reduces the bandwidth consumption and the memory requirements of the system, provides the quasi-orthogonal spreading codes and interleavers with a high security and offers infinite sets of codes and interleavers based on only one parameter. Second, we propose a new user grouping algorithm based on the correlation function to improve the resources (Codes, Interleavers). All users are divided into several equal-size groups where each group's data transmitted at the same time, over the same frequencies and the same interleaver. The simulation results indicate that the proposed scheme can achieve better performances compared to the existing algorithms.

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Section: Computational Complexitymentioning

confidence: 99%

Improved IDMA for Multiple Access of 5G

Akbil

Aboutajdine

2022

Int. j. commun. netw. inf. secur.

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“…Various multi-user detectors (MUD) have been developed and analyzed for this proposed MC-CDMA systems [2,3,4,6,7,8,9]. Multi user detectors may be optimal or sub-optimal.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Multi User Detection for FD-MC-CDMA in Presence of CFO

Raju¹,

Rao²

2014

IJWMT

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The main targets of multi-carrier direct sequence code division multiple access (MC-DS-CDMA) mobile communication systems are to overcome the multi-path fading influences as well as the near-far effect and to increase its capacity. Different types of optimal and suboptimal multi-user detection schemes have been proposed and analyzed in literature. Unfortunately, most of them share the drawback of requiring an efficient practical solution. Genetic algorithm provides a more robust and efficient approach for solving complex real world problem such as multi user detection, but genetic algorithms are not computationally efficient. Computational complexity and performance of the genetic algorithms depends on number of generations and/or the population size, schemes involving genetic algorithms would compromise in computational complexity or performance. In this paper we propose adaptive population sizing genetic algorithm based multi user detection algorithm and compare its performance with existing multi user detection algorithms in various channels. Simulation results confirmed that the proposed adaptive genetic algorithm assisted multi user detection algorithm performs better compared to the existing multi user detection algorithms.Index Terms: Frequency division-Multicarrier CDMA (FD-MC-CDMA), Multiuser detection, Carrier Frequency Offset (CFO), Fuzzy logic based Adaptive genetic algorithm.

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Optimization of Operation Regimes of Irrigation Canals Using Genetic Algorithms

Bohaienko

Popov²

2018

Advances in Intelligent Systems and Computing

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Adaptive Population Sizing Genetic Algorithm Assisted Maximum Likelihood Detection of OFDM Symbols in the Presence of Nonlinear Distortions

Cited by 3 publications

References 28 publications

Improved IDMA for Multiple Access of 5G

Improved IDMA for Multiple Access of 5G

Adaptive Multi User Detection for FD-MC-CDMA in Presence of CFO

Optimization of Operation Regimes of Irrigation Canals Using Genetic Algorithms

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