عرض تفاصيل البحث

ادناه جميع التفاصيل الخاصة بالبحث المطلوب عرضه. توفر هذه المنصة معلومات اساسية حول البحث, لمزيد من التفاصيل يرجى متابعة التصفح من خلال الضغط على الرابط الاصلي للبحث او رابط DOI.

عنوان البحث
A Low-Complexity Coding Scheme For Noma
عنوان المجلة
Ieee Systems Journal
ISSN-1932-8184
تفاصيل النشر
سنة النشر - 2023 / الفهرس الاصلي للمجلة - 17 : 3 (عدد الصفحات 11)
تصنيف البحث
هندسة الاتصالات - المجموعة الهندسية
رابط DOI
https://doi.org/10.1109/JSYST.2023.3262174
رابط البحث
فتح في موقع المجلة الرسمي
البحث والاستدامة
غير مرتبط باهداف التنمية المستدامة  
البحث والمجتمع
غير محدد
الكلمات المفتاحية
NOMA , Interference , Encoding , Decoding , Complexity theory , Binary phase shift keying , Resource management

اسم الباحثجهة الانتساببلد الباحث
Wael Abd Alaziz University of Sumer Iraq
Bilal A. Jebur Ninevah University Iraq
Harith Fakhrey Baghdad University Iraq
Zhen Mei Nanjing University of Science and Technology China
Khaled Rabie Manchester Metropolitan University UK

This work focuses on exploiting the constructive interference among different users data waveforms to introduce new coding and decoding techniques, which are specifically designed for nonorthogonal multiple access (NOMA) systems. In this article, a structured coding scheme is devised. In essence, the proposed technique focuses on finding a relationship between the sent users data waveforms and then uses this relationship in the decoding process at the receiving destination. It is worth pointing out that the proposed coding and decoding techniques exhibit better performance and reduced the complexity compared with the conventional uncoded NOMA. The complexity order evaluation shows that the proposed scheme attains a reduction in the required number of the floating point operations of 5 and 6N at the second and third users, respectively, compared with that of the uncoded NOMA. Moreover, we have derived a closed-form expression for the bit error rate, which is verified using the Monte Carlo simulation. To demonstrate the practicality of the proposed system, the obtained results are compared with those of the uncoded and convolutional coding NOMA systems. Finally, the performance of the proposed system outperformed the conventional systems by an average of 5 dB in the case of two users and an average of 15 dB in the case of three users in the same work environment.
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