scholarly journals Partial Non-Orthogonal Multiple Access (NOMA) in Downlink Poisson Networks

2020 ◽  
Vol 19 (11) ◽  
pp. 7637-7652
Author(s):  
Konpal Shaukat Ali ◽  
Ekram Hossain ◽  
Md. Jahangir Hossain
Keyword(s):  
Multiple Access ◽  
Poisson Networks

scholarly journals Downlink Non-Orthogonal Multiple Access (NOMA) in Poisson Networks

2019 ◽  
Vol 67 (2) ◽  
pp. 1613-1628 ◽  
Author(s):  
Konpal Shaukat Ali ◽  
Martin Haenggi ◽  
Hesham ElSawy ◽  
Anas Chaaban ◽  
Mohamed-Slim Alouini
Keyword(s):  
Multiple Access ◽  
Poisson Networks

scholarly journals Meta Distribution and Secrecy of Partial Non-Orthogonal Multiple Access (NOMA) in Poisson Networks

2021 ◽  
Author(s):  
konpal Ali ◽  
Arafat Al-Dweik
Keyword(s):  
Interference Cancellation ◽  
Multiple Access ◽  
Network Performance ◽  
Positive Impact ◽  
Moment Matching ◽  
Fine Grained ◽  
Poisson Networks ◽  
Approximate Moments ◽  
Small Overlap ◽  
Do So

<div>This work studies the meta distribution in a partial-NOMA network to obtain fine-grained information about the network performance. As the meta distribution is approximated using the beta distribution via moment matching of the first two moments, reduced integral expressions are derived for the first two moments of the meta distribution. Accurate approximate moments are also proposed to further simplify the calculation. Security is an issue in partial-NOMA because the strong user may decode the weak user’s message in the process of decoding its own message using flexible successive interference cancellation (FSIC). Therefore, a measure of secrecy is defined in this context and the secrecy probability is derived for the case of: 1) a malicious strong user that prioritizes eavesdropping, 2) an innocent strong user that decodes the weak user’s message only when it is required to do so. The obtained results highlight the superiority of partial-NOMA over traditional NOMA in terms of secrecy. They also show that receive filtering and FSIC have a significant positive impact on the secrecy of partial- OMA. Furthermore, partial-NOMA with a small overlap of the resource-block can secure the network from the additional deterioration a malicious eavesdropper may cause.</div>

scholarly journals Meta Distribution and Secrecy of Partial Non-Orthogonal Multiple Access (NOMA) in Poisson Networks

2021 ◽  
Author(s):  
konpal Ali ◽  
Arafat Al-Dweik
Keyword(s):  
Interference Cancellation ◽  
Multiple Access ◽  
Network Performance ◽  
Positive Impact ◽  
Moment Matching ◽  
Fine Grained ◽  
Poisson Networks ◽  
Approximate Moments ◽  
Small Overlap ◽  
Do So

<div>This work studies the meta distribution in a partial-NOMA network to obtain fine-grained information about the network performance. As the meta distribution is approximated using the beta distribution via moment matching of the first two moments, reduced integral expressions are derived for the first two moments of the meta distribution. Accurate approximate moments are also proposed to further simplify the calculation. Security is an issue in partial-NOMA because the strong user may decode the weak user’s message in the process of decoding its own message using flexible successive interference cancellation (FSIC). Therefore, a measure of secrecy is defined in this context and the secrecy probability is derived for the case of: 1) a malicious strong user that prioritizes eavesdropping, 2) an innocent strong user that decodes the weak user’s message only when it is required to do so. The obtained results highlight the superiority of partial-NOMA over traditional NOMA in terms of secrecy. They also show that receive filtering and FSIC have a significant positive impact on the secrecy of partial- OMA. Furthermore, partial-NOMA with a small overlap of the resource-block can secure the network from the additional deterioration a malicious eavesdropper may cause.</div>

scholarly journals Meta Distribution of Downlink Non-Orthogonal Multiple Access (NOMA) in Poisson Networks

2019 ◽  
Vol 8 (2) ◽  
pp. 572-575 ◽  
Author(s):  
Konpal Ali ◽  
Hesham Elsawy ◽  
Mohamed-Slim Alouini
Keyword(s):  
Multiple Access ◽  
Poisson Networks

Waveform division multiple-access

1993 ◽  
Vol 140 (3) ◽  
pp. 176 ◽  
Author(s):  
A.B. Sesay ◽  
P.C. Yip ◽  
K.M. Wong
Keyword(s):  
Multiple Access

Analisis Karakterisasi Teknologi Direct Sequence Spread Spectrum Dan Frequency Hopping Spread Spectrum

2019 ◽  
Vol 2 (2) ◽  
pp. 129-138
Author(s):  
Fawzan Galib Abdul Karim Bawahab ◽  
Elvan Yuniarti ◽  
Edi Kurniawan
Keyword(s):  
Spread Spectrum ◽  
Communication Systems ◽  
Multiple Access ◽  
Frequency Hopping ◽  
Direct Sequence Spread Spectrum ◽  
Direct Sequence ◽  
Frequency Hopping Spread Spectrum ◽  
Two Systems ◽  
The Difference

Abstrak. Pada penelitian ini, telah dilakukan analisa karakterisasi pada teknologi Direct Sequence Spread Spectrum dan Frequency Hopping Spread Spectrum, sebagai salah satu teknik multiple-access pada sistem komunikasi. Karakterisasi dilakukan untuk mencari bagaimana cara meningkatkan keoptimalan kedua sistem tersebut, dalam mengatasi masalah interferensi dengan sistem dan channel yang sama. Dan juga untuk menentukan veriabel apa yang mempengaruhi keoptimalan kedua sistem tersebut. Karakterisasi dilakukan dengan menentukan variabel-variabel yang mempengaruhi keoptimalan keduanya. Hasil dari karakterisasi, diketahui variabel-variabel yang mempengaruhi kemampuan sistem DSSS yaitu nilai frekuensi spreading (). Sedangkan untuk sistem FHSS yaitu nilai frekuensi spreading ( dan ) dan selisih antara frekuensi hopping data dengan frekuensi hopping interferensi . Kata Kunci: BER, DSSS, FHSS, Interference, Spread spectrum. Abstract. In this study, characterization of Direct Sequence Spread Spectrum and Frequency Hopping Spread Spectrum technologies have been done, as one of the multiple-access techniques in communication systems. Characterization is done to find out how to improve the ability of the two systems, in solving interference problems with the same system and channel. And also to determine what veriabel affects the ability of the two systems. Characterization is done by determining the variables that affect the ability of both. The results of the characterization, known variables that affect the ability of the DSSS system are the spreading frequency value (). As for the FHSS system, the spreading frequency value ( and ) and the difference between frequency hopping data with frequency hopping interference .

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