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An Analysis of Two-User Uplink Asynchronous Non-orthogonal Multiple Access Systems
- Source :
- IEEE Transactions on Wireless Communications. 18:1404-1418
- Publication Year :
- 2019
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2019.
-
Abstract
- Recent studies have numerically demonstrated the possible advantages of the asynchronous non-orthogonal multiple access (ANOMA) over the conventional synchronous non-orthogonal multiple access (NOMA). The ANOMA makes use of the oversampling technique by intentionally introducing a timing mismatch between symbols of different users. Focusing on a two-user uplink system, for the first time, we analytically prove that the ANOMA with a sufficiently large frame length can always outperform the NOMA in terms of the sum throughput. To this end, we derive the expression for the sum throughput of the ANOMA as a function of signal-to-noise ratio (SNR), frame length, and normalized timing mismatch. Based on the derived expression, we find that users should transmit at full powers to maximize the sum throughput. In addition, we obtain the optimal timing mismatch as the frame length goes to infinity. Moreover, we comprehensively study the impact of timing error on the ANOMA throughput performance. Two types of timing error, i.e., the synchronization timing error and the coordination timing error, are considered. We derive the throughput loss incurred by both types of timing error and find that the synchronization timing error has a greater impact on the throughput performance compared to the coordination timing error.
- Subjects :
- FOS: Computer and information sciences
Computer science
Computer Science - Information Theory
Information Theory (cs.IT)
Applied Mathematics
Frame (networking)
020206 networking & telecommunications
Throughput
02 engineering and technology
Function (mathematics)
Expression (mathematics)
Synchronization
Computer Science Applications
Asynchronous communication
Telecommunications link
0202 electrical engineering, electronic engineering, information engineering
Oversampling
Electrical and Electronic Engineering
Throughput (business)
Algorithm
Subjects
Details
- ISSN :
- 15582248 and 15361276
- Volume :
- 18
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Wireless Communications
- Accession number :
- edsair.doi.dedup.....12e8fa478f74b70c73099b5e76d73a96