Quadrature NOMA-ALOHA: Throughput Bounds
This letter studies cross-layer physical (PHY) and medium access control (MAC) contention-based random access for uplink non-orthogonal multiple access assisted by slotted ALOHA (NOMA-ALOHA). In addition, an improved NOMA-ALOHA is proposed by exploiting signal space diversity using π/4-rotated M-ary amplitude shift keying (MASK) with coordinate interleaving (CI), known as quadrature NOMA-ALOHA (QNOMA-ALOHA). In QNOMA-ALOHA, the PHY layer creates a new transmission resource based on two quadrature carriers (cosine and sine) and generates a virtual subslot in the MAC layer. The throughput bounds of QNOMA-ALOHA are derived based on the Poisson model. The numerical results show that the improved NOMA-ALOHA with QNOMA in the PHY layer significantly outperforms the existing NOMA-ALOHA in terms of throughput. The improvement of QNOMA-ALOHA is two times the square root of the power level to slotted ALOHA and two times to NOMA-ALOHA.
Authors
- I Nyoman Apraz Ramatryana (ORCID: https://orcid.org/0000-0001-5507-2579)
- Gandeva Bayu Satrya (ORCID: https://orcid.org/0000-0002-0243-9020)
- Adel Ben Mnaouer (ORCID: https://orcid.org/0000-0003-3617-7636)
- Gelar Budiman (ORCID: https://orcid.org/0000-0002-2948-4219)
- Khoirul Anwar (ORCID: https://orcid.org/0000-0002-3249-7395)
- Sobia Jangsher (ORCID: https://orcid.org/0000-0003-2348-2113)
Institutions
- Al Ain University (AE)
- Canadian University of Dubai (AE)
- Dublin City University (IE)
- Telkom University (ID)
Publication Details
- Journal
- IEEE Wireless Communications Letters
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/lwc.2025.3589461
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00