Pilot Sequence Allocation Schemes in Massive MIMO Systems Using Heuristic Approaches
This paper presents a comparison of different metaheuristic approaches applied to the pilot sequence allocation problem in Massive Multiple-Input Multiple-Output (MIMO) systems. A modified version of the Genetic Algorithm (GA) as well as different versions of the Particle Swarm Optimization (PSO) Al...
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| Format: | Article |
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MDPI AG
2022-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/10/5117 |
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| author | Everton Alex Matos Robson Parmezan Bonidia Danilo Sipoli Sanches Rogério Santos Pozza Lucas Dias Hiera Sampaio |
| author_facet | Everton Alex Matos Robson Parmezan Bonidia Danilo Sipoli Sanches Rogério Santos Pozza Lucas Dias Hiera Sampaio |
| author_sort | Everton Alex Matos |
| collection | DOAJ |
| description | This paper presents a comparison of different metaheuristic approaches applied to the pilot sequence allocation problem in Massive Multiple-Input Multiple-Output (MIMO) systems. A modified version of the Genetic Algorithm (GA) as well as different versions of the Particle Swarm Optimization (PSO) Algorithm are used to maximize the system spectral efficiency under an inter-cell interference regime. The metaheuristic parameters were optimized and computational simulations under different scenarios parameters were conducted to verify the system performance impact in terms of system spectral efficiency, minimum and maximum spectral efficiency per user and the cumulative distribution function (CDF) of the users spectral efficiencies. The main contributions of this work are: the creation of a public available dataset; heuristic parameters tuning; findings related to the impact of sub-optimal pilot sequence allocation to the users in terms of maximal and minimal achievable user spectral efficiency and the robustness of some algorithms in scenarios with different system loadings. |
| first_indexed | 2024-03-10T03:23:54Z |
| format | Article |
| id | doaj.art-e5bdb201c8a64db29a0ecc45e8f4c044 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T03:23:54Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-e5bdb201c8a64db29a0ecc45e8f4c0442023-11-23T09:57:57ZengMDPI AGApplied Sciences2076-34172022-05-011210511710.3390/app12105117Pilot Sequence Allocation Schemes in Massive MIMO Systems Using Heuristic ApproachesEverton Alex Matos0Robson Parmezan Bonidia1Danilo Sipoli Sanches2Rogério Santos Pozza3Lucas Dias Hiera Sampaio4Computer Science Department, Universidade Tecnológica Federal do Paraná, Cornélio Procópio 86300-000, Paraná, BrazilInstitute of Mathematics and Computer Science, Universidade de São Paulo, São Carlos 13566-590, São Paulo, BrazilComputer Science Department, Universidade Tecnológica Federal do Paraná, Cornélio Procópio 86300-000, Paraná, BrazilComputer Science Department, Universidade Tecnológica Federal do Paraná, Cornélio Procópio 86300-000, Paraná, BrazilComputer Science Department, Universidade Tecnológica Federal do Paraná, Cornélio Procópio 86300-000, Paraná, BrazilThis paper presents a comparison of different metaheuristic approaches applied to the pilot sequence allocation problem in Massive Multiple-Input Multiple-Output (MIMO) systems. A modified version of the Genetic Algorithm (GA) as well as different versions of the Particle Swarm Optimization (PSO) Algorithm are used to maximize the system spectral efficiency under an inter-cell interference regime. The metaheuristic parameters were optimized and computational simulations under different scenarios parameters were conducted to verify the system performance impact in terms of system spectral efficiency, minimum and maximum spectral efficiency per user and the cumulative distribution function (CDF) of the users spectral efficiencies. The main contributions of this work are: the creation of a public available dataset; heuristic parameters tuning; findings related to the impact of sub-optimal pilot sequence allocation to the users in terms of maximal and minimal achievable user spectral efficiency and the robustness of some algorithms in scenarios with different system loadings.https://www.mdpi.com/2076-3417/12/10/5117pilot sequencesresource allocationMassive MIMOheuristics |
| spellingShingle | Everton Alex Matos Robson Parmezan Bonidia Danilo Sipoli Sanches Rogério Santos Pozza Lucas Dias Hiera Sampaio Pilot Sequence Allocation Schemes in Massive MIMO Systems Using Heuristic Approaches Applied Sciences pilot sequences resource allocation Massive MIMO heuristics |
| title | Pilot Sequence Allocation Schemes in Massive MIMO Systems Using Heuristic Approaches |
| title_full | Pilot Sequence Allocation Schemes in Massive MIMO Systems Using Heuristic Approaches |
| title_fullStr | Pilot Sequence Allocation Schemes in Massive MIMO Systems Using Heuristic Approaches |
| title_full_unstemmed | Pilot Sequence Allocation Schemes in Massive MIMO Systems Using Heuristic Approaches |
| title_short | Pilot Sequence Allocation Schemes in Massive MIMO Systems Using Heuristic Approaches |
| title_sort | pilot sequence allocation schemes in massive mimo systems using heuristic approaches |
| topic | pilot sequences resource allocation Massive MIMO heuristics |
| url | https://www.mdpi.com/2076-3417/12/10/5117 |
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