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Outage Performance Analysis of Improper Gaussian Signaling for Two-User Downlink NOMA Systems with Imperfect
Yaxuan Liu1, Huadong Gao2, Hao Cheng3
1School of Information Science and Engineering, Southeast University, Nanjing 210096, China.
Entropy (Basel, Switzerland)
|August 26, 2023
Summary
Improper Gaussian signaling (IGS) enhances interference-limited networks. This study optimizes IGS in two-user NOMA systems with imperfect SIC, improving outage performance for both users.
Area of Science:
- Wireless communication networks
- Signal processing
Background:
- Non-orthogonal multiple access (NOMA) systems are crucial for future wireless networks.
- Interference management is a key challenge in NOMA systems.
- Imperfect successive interference cancellation (SIC) degrades NOMA system performance.
Purpose of the Study:
- To analyze the outage performance of a two-user downlink NOMA system employing improper Gaussian signaling (IGS).
- To investigate the impact of imperfect SIC on system performance.
- To optimize system parameters for minimizing outage probability.
Main Methods:
- Derivation of achievable rates and outage probabilities for both users under imperfect SIC.
- Optimization of transmit power and degree of impropriety for the strong user.
- Utilizing channel coefficient statistics instead of instantaneous CSI.
Main Results:
- Analytical expressions for achievable rates and outage probabilities are derived.
- The proposed IGS technique demonstrates performance improvements.
- Optimized IGS parameters minimize outage probability under constraints.
Conclusions:
- IGS is a promising technique for enhancing NOMA system performance.
- The study provides a framework for analyzing and optimizing NOMA systems with IGS and imperfect SIC.
- Numerical results validate the analytical findings and highlight the benefits of IGS.
Keywords:
imperfect SICimproper Gaussian signaling (IGS)non-orthogonal multiple access (NOMA)outage probabilitypower allocationstatistical CSIMore Related Videos
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