Max-Min Energy-Efficient Optimization for Cognitive Heterogeneous Networks With Spectrum Sensing Errors and Channel Uncertainties

• Published in: IEEE wireless communications letters Vol. 11; no. 6; pp. 1113 - 1117
• Main Authors: Xu, Yongjun, Yang, Meng, Yang, Yang, Ye, Yinghui, Hu, Rose Qingyang, Li, Dong
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.06.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Cellular communication; channel uncertainties; Cognitive heterogeneous networks; Computational geometry; Convexity; energy efficiency; Errors; Femtocells; Heterogeneous networks; Interference; Maximum power; NOMA; Nonorthogonal multiple access; Optimization; Resource allocation; Resource management; Robustness (mathematics); Sensors; spectrum sensing errors; Uncertainty
• ISSN: 2162-2337; 2162-2345
• DOI: 10.1109/LWC.2021.3130632

In this letter, we design a robust resource allocation algorithm for a non-orthogonal multiple access (NOMA)-based cognitive heterogeneous network under spectrum sensing errors and channel uncertainties. Our objective is to maximize the minimum energy efficiency of femtocells subject to the maximum power constraint, the cross-tier interference constraint and the minimum rate constraint. The infinite-dimensional robust constraints with channel uncertainties are converted into convex ones by using a worst-case transformation approach. Then, the deterministic non-convex problem is transformed into a convex one by using convex optimization theory. Numerical results demonstrate that the proposed algorithm can achieve fast convergence and strong robustness.