Cylindrical Massive MIMO System for HAPS: Capacity Enhancement and Coverage Extension

Tashiro, Koji; Hoshino, Kenji; Nagate, Atsushi

doi:10.1109/vtc2021-spring51267.2021.9449056

Cited by 17 publications

(7 citation statements)

References 15 publications

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“…Massive MIMO is an advancement in MIMO technology that increases the spectral efficiency, energy efficiency, data rates and throughput by using hundreds or even thousands of antennas connected to a BS, which is shown in Figure 13 [ 29 ]. M-MIMO is a significant technique used to enhance the throughput, spectrum efficiency, data rates, capacity and overall system performance [ 176 , 177 , 178 , 179 , 180 , 181 ]. In Ref.…”

Section: 5g Coverage Enhancement Techniquesmentioning

confidence: 99%

A Survey on 5G Coverage Improvement Techniques: Issues and Future Challenges

Sudhamani

Roslee

Tiang

et al. 2023

Sensors

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Fifth generation (5G) is a recent wireless communication technology in mobile networks. The key parameters of 5G are enhanced coverage, ultra reliable low latency, high data rates, massive connectivity and better support to mobility. Enhanced coverage is one of the major issues in the 5G and beyond 5G networks, which will be affecting the overall system performance and end user experience. The increasing number of base stations may increase the coverage but it leads to interference between the cell edge users, which in turn impacts the coverage. Therefore, enhanced coverage is one of the future challenging issues in cellular networks. In this survey, coverage enhancement techniques are explored to improve the overall system performance, throughput, coverage capacity, spectral efficiency, outage probability, data rates, and latency. The main aim of this article is to highlight the recent developments and deployments made towards the enhanced network coverage and to discuss its future research challenges.

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Section: 5g Coverage Enhancement Techniquesmentioning

confidence: 99%

A Survey on 5G Coverage Improvement Techniques: Issues and Future Challenges

Sudhamani

Roslee

Tiang

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…Unlike extensive studies on capacity enhancement and theoretical analysis of HAPSs [6], [7], [9], [10], few studies have specifically addressed the spectrum sharing between HAPSs and 4G or 5G networks on the ground.…”

Section: B Related Workmentioning

confidence: 99%

“…The final aim of this study is to develop a HAPS system that realizes spectrum sharing with terrestrial networks, where the target coverage radius of a single HAPS is 100 km. In our previous work [9], we have discussed the array antenna structure to achieve ultra-wide coverage using HAPSs and have proposed a massive MU-MIMO system that exploits a cylindrical array antenna. However, coexistence with terrestrial BSs was not considered in that study.…”

Section: Contributionsmentioning

confidence: 99%

“…Because of multiple elements deployed on the curved surface, the cylindrical array antenna can cover the entire area having a radius of 100 km. Please refer to [9] for more details on the cylindrical array antenna designed for HAPS service links. The following 3D beam pattern model, which is defined in [30], has been used as the VOLUME 4, 2016 radiation power pattern of each element:…”

Section: Configuration: Hapsmentioning

confidence: 99%

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Nullforming-Based Precoder for Spectrum Sharing Between HAPS and Terrestrial Mobile Networks

2022

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“…Sistem komunikasi HAPS [16] dapat menyediakan koneksi Internet dari pesawat tak berawak yang terbang di ketinggian sekitar 20 km untuk perangkat seluler seperti ponsel dan tablet. Satu HAPS mampu mencakup area yang lebih luas daripada base station yang digunakan dalam sistem seluler terestrial, yang memungkinkan untuk menyediakan layanan komunikasi dengan biaya yang lebih rendah dengan jumlah HAPs yang terbatas.…”

Section: Hapsunclassified

Analisis Performa Sistem High Altitude Platforms Menggunakan Algoritma Genetika Untuk Pengalokasian Subcarrier

Utami

Hasanah

2022

InComTech

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Perkembangan teknologi di bidang telekomunikasi semakin maju, dimana terdapat salah satu teknologi yaitu High Altitude Platforms (HAPs). HAPs merupakan teknologi yang sangat modern guna memenuhi kebutuhan akan jaringan internet khususnya di daerah-daerah pelosok yang belum terjangkau oleh jaringan internet. Pada implementasi HAPs dibutuhkan pengaturan dalam pengalokasian seluruh sumber daya radio secara tepat kepada user agar tercapai suatu sistem yang optimal sehingga dapat melayani pengiriman data berkecepatan tinggi secara merata. Oleh karena itu dibutuhkan algoritma pengalokasian sumber daya radio agar mencapai performa sistem yang optimal. Pada penelitian ini akan dibahas mengenai pengalokasian sumber daya radio berupa subcarrier kepada user yang terdapat dalam sistem. Parameter yang diukur adalah performa kapasitas dengan menggunakan algoritma genetika, sehingga dihasilkan pengalokasian subcarrier secara tepat kepada user sesuai dengan kondisi kanal yang dibangkitkan dengan Channel State Information (CSI). Simulasi dilakukan dengan memvariasikan jumlah user dan bandwidth agar diperoleh hasil yang lebih optimal. Pengalokasian resource pada simulasi dengan Algoritma Genetika memperoleh nilai rata-rata kapasitas sistem tertinggi mencapai 9.8049Mbps. Hasil simulasi menunjukkan bahwa dengan adanya penambahan jumlah user akan mempengaruhi kapasitas. Semakin banyak jumlah user maka nilai rata-rata kapasitas akan menurun. Kapasitas dipengaruhi oleh jumlah subcarrier yang dialokasikan dengan Algoritma Genetika, semakin banyak subcarrier maka kapasitas akan semakin meningkat.

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Cylindrical Massive MIMO System for HAPS: Capacity Enhancement and Coverage Extension

Cited by 17 publications

References 15 publications

A Survey on 5G Coverage Improvement Techniques: Issues and Future Challenges

A Survey on 5G Coverage Improvement Techniques: Issues and Future Challenges

Nullforming-Based Precoder for Spectrum Sharing Between HAPS and Terrestrial Mobile Networks

Analisis Performa Sistem High Altitude Platforms Menggunakan Algoritma Genetika Untuk Pengalokasian Subcarrier

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