New Designs of Robust Uplink NOMA in Cognitive Radio Inspired Communications
Yanshi Sun, Wei Cao, Momiao Zhou, Zhiguo Ding

TL;DR
This paper introduces two innovative NOMA schemes for cognitive radio uplink communications that enhance secondary user performance without harming primary user reliability, ensuring robustness and avoiding outage probability floors.
Contribution
The paper proposes hybrid and fixed SIC-based NOMA schemes with power adaptation, improving secondary user service and transmission robustness in cognitive radio uplink scenarios.
Findings
Secondary users are served opportunistically without primary user degradation
Outage probability error floors are eliminated for secondary users
Proposed schemes outperform existing methods in simulations
Abstract
This paper considers a cognitive radio inspired uplink communication scenario, where one primary user is allocated with one dedicated resource block, while secondary users compete with each other to opportunistically access the primary user's channel. Two new designs of NOMA schemes, namely hybrid successive interference cancellation with power adaptation (HSIC-PA) and fixed successive interference cancellation with power adaptation (FSIC-PA), are proposed. The significant advantages of the proposed schemes are two folds. First, the proposed two schemes can ensure that the secondary users are opportunistically served without degrading the transmission reliability of the primary user. Besides, the transmission robustness of the served secondary users can be guaranteed. Specifically, the outage probability error floors can be avoided for the secondary users, which is proved by…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Wireless Communication Technologies · Cognitive Radio Networks and Spectrum Sensing · Satellite Communication Systems
