Performance analysis of resource allocation downlink for MIMO-OFDMA system using greedy algorithm

Idris, Azlina; Samaon, Azrinawati; Idris, Mohd Syarhan

doi:10.1109/iccsce.2016.7893563

Cited by 8 publications

(3 citation statements)

References 10 publications

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“…Internet adalah jalur informasi andal yang dapat diakses oleh jutaan orang di seluruh dunia [1]. Salah satu teknologi komunikasi yang berkembang pesat adalah Long Term Evolution (LTE) yang mampu mengirimkan informasi dengan kecepatan 100 Mbps pada arah downlink dan 50 Mbps pada arah uplink [2]. Pada LTE terdapat sebuah teknik modulasi, yaitu Orthogonal Frequency Division Multiplexing (OFDM) dan teknik multiple access pada arah downlink, yaitu Orthogonal Frequency Division Multiple Access (OFDMA) [3].…”

Section: Pendahuluanunclassified

Algoritma Greedy dan Round Robin untuk Alokasi Resource terhadap Optimasi Kinerja Sistem 4G LTE

Fitriyani,

Hasanah,

Utami

2023

elkom. jur. tekn. elekt. komp.

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Salah satu teknologi komunikasi yang berkembang pesat saat ini adalah Long Term Evolution (LTE) yang memiliki efisiensi tinggi, kapasitas besar, dan kemampuan menyediakan layanan informasi dengan data rate yang lebih tinggi. Permasalahan yang kerap dihadapi masyarakat ialah banyaknya pengguna yang mengakses layanan komunikasi namun resource allocation dan kapasitas pengguna jaringan kurang diperhatikan. Sehingga, diperlukan skema untuk membuat sistem lebih efisien dalam penggunaan kapasitas yang sesuai kebutuhan. Dalam penelitian ini dilakukan proses simulasi alokasi resource block (RB) pada arah downlink menggunakan dua algoritma berbeda dengan menguji performa kapasitas dan fairness sebagai parameter. Hasil yang diperoleh pada penelitian ini adalah kinerja algoritma Round Robin lebih signifikan dibandingkan algoritma Greedy untuk perhitungan kedua parameter, karena alokasi RB pada algoritma Round Robin dilakukan secara merata sehingga setiap user mendapatkan RB. Namun, proses alokasi RB menggunakan algoritma Greedy lebih efisien dan cepat karena algoritma Greedy hanya melakukan alokasi terhadap user dengan kanal terbaik.

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Section: Pendahuluanunclassified

Algoritma Greedy dan Round Robin untuk Alokasi Resource terhadap Optimasi Kinerja Sistem 4G LTE

Fitriyani,

Hasanah,

Utami

2023

elkom. jur. tekn. elekt. komp.

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“…For subcarrier allocation, the authors in [8 ] analyse and compared the subcarrier allocation of a multiple‐input multiple‐output (MIMO) orthogonal frequency division multiple access system with the greedy and water fill algorithm for the 4G downlink. Finally, CN has been used for spatial multiplexing detection schemes [9, 10 ]. The CN has also been applied to the spectrum sensing area for cognitive radio, comparing the noise covariance matrix and the received signal covariance matrix for signal detection.…”

Section: Related Workmentioning

confidence: 99%

Impact of condition number on total sum rate for NOMA systems

et al. 2020

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In the fifth‐generation mobile communications networks, several resource allocation techniques have been used, such as static allocation and dynamic algorithms (greedy or matching theory); this work proposes a new subcarrier allocation scheme based on the evaluation of the instantaneous behaviour of the wireless channel using the condition number of the channel matrix H. Simulation results reveal that the proposed scheme increases the total sum rate of the system, compared to their predecessors.

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“…The study [12] has presented the bit error performance of the allocation process using the greedy algorithm in MC DS-CDMA systems. The proposal of allocation scheme using greedy algorithm has better system capacity compared to water filling algorithm for MIMO-OFDMA sys- tems in [13]. With use of the advantages of both the capacity and fairness criteria, it is possible to achieve the maximum value of the speed obtained from the system while maintaining the fairness between the users.…”

Section: Introductionmentioning

confidence: 99%

An efficient approach for sub-carrier allocation in MIMO MC-CDMA systems

Seyman

Demiral

2022

Journal of Electrical Engineering

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Sub-carrier allocation is an important process that directly affects users data and bit error rates for multi-user multi-carrier systems. The most important feature of the allocation process is to assign the sub-carriers to the active users in proportion to their needs to provide high-speed data transmission and reduce the bit error rates. In this study, an efficient subcarrier allocation algorithm has been proposed based on both capacity and fairness criteria for a MIMO MC-CDMA system, which is preferred as the multiplexing scheme in high data rate communication systems. The proposed algorithm achieves not only better error rate performance but also increases the total data rate compared to other algorithms

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Performance analysis of resource allocation downlink for MIMO-OFDMA system using greedy algorithm

Cited by 8 publications

References 10 publications

Algoritma Greedy dan Round Robin untuk Alokasi Resource terhadap Optimasi Kinerja Sistem 4G LTE

Algoritma Greedy dan Round Robin untuk Alokasi Resource terhadap Optimasi Kinerja Sistem 4G LTE

Impact of condition number on total sum rate for NOMA systems

An efficient approach for sub-carrier allocation in MIMO MC-CDMA systems

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