Joint Beamforming and Power Allocation for Satellite-Terrestrial Integrated Networks With Non-Orthogonal Multiple Access

• Published in: IEEE journal of selected topics in signal processing Vol. 13; no. 3; pp. 657 - 670
• Main Authors: Lin, Zhi, Lin, Min, Wang, Jun-Bo, de Cola, Tomaso, Wang, Jiangzhou
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-06-2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Antenna arrays; Array signal processing; Beamforming; Cellular communication; Clustering; Computer simulation; Design optimization; Iterative methods; joint optimization; Mathematical analysis; Millimeter waves; Multibeam antennas; Multicasting; NOMA; non-orthogonal multiple access; Nonorthogonal multiple access; Optimization; Penalty function; Power management; Resource management; Satellite antennas; satellite-terrestrial integrated network; Satellites; Vectors (mathematics)
• ISSN: 1932-4553; 1941-0484
• DOI: 10.1109/JSTSP.2019.2899731

In this paper, we propose a joint optimization design for a non-orthogonal multiple access (NOMA)-based satellite-terrestrial integrated network (STIN), where a satellite multicast communication network shares the millimeter wave spectrum with a cellular network employing NOMA technology. By assuming that the satellite uses multibeam antenna array and the base station employs uniform planar array, we first formulate a constrained optimization problem to maximize the sum rate of the STIN while satisfying the constraint of per-antenna transmit power and quality-of-service requirements of both satellite and cellular users. Since the formulated optimization problem is NP-hard and mathematically intractable, we develop a novel user pairing scheme so that more than two users can be grouped in a cluster to exploit the NOMA technique. Based on the user clustering, we further propose to transform the non-convex problem into an equivalent convex one, and present an iterative penalty function-based beamforming (BF) scheme to obtain the BF weight vectors and power coefficients with fast convergence. Simulation results confirm the effectiveness and superiority of the proposed approach in comparison with the existing works.