Novel Water-Filling for Maximum Throughput of Power Grid, MIMO, and Energy Harvesting Coexisting System With Mixed Constraints

• Published in: IEEE transactions on communications Vol. 65; no. 2; pp. 827 - 838
• Main Authors: He, Peter, Lian Zhao, Venkatesh, Bala
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.02.2017; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Codes; Electric power grids; Energy budget; Energy harvesting; energy harvesting (EH); Energy sources; exact solution; Exact solutions; MIMO; MIMO communication; multiple input multiple output (MIMO); Optimization; Polynomials; power grid (PG); Power grids; Radio resource management; Resource management; Throughput; Transmitters; Upper bound; Upper bounds; water-filling algorithm with mixed constraints
• ISSN: 0090-6778; 1558-0857
• DOI: 10.1109/TCOMM.2016.2638907

Multiple-input multiple-output (MIMO) technology equips the transmitters with the multiple antennas. It can combine with energy harvesting (EH) to lift the spectrum efficiency and make use of a greener energy resource. A power grid is added to serve as a supplementary source to regulate the not-so-stable harvested energy supply of the system. Besides the MIMO technology being used, the power allocated to the user provided by both EH and the power grid is subject to the epoch power upper bound constraints. The background of these constraints comes from field requirements, such as avoiding the saturation of power allocated to the user(s), avoiding system-level out-of-band power leakage, and reducing interference with other transmitter(s) due to the non-linearity generated via the transmitting mechanisms to the user(s). The epoch power upper bound constraints make this problem more challenging, with the controllable power grid energy budget and its allocation. This paper applies our recently proposed geometric water-filling with group upper bounded power constraints and recursion machinery to form the proposed algorithm for solving the proposed throughput maximization problem. Our algorithm is precisely defined, and further provides the exact solution via the lower degree polynomial complexity. This point is very suitable for the massive MIMO system. To the best of our knowledge, no prior algorithm has been reported in the open literature to solve the targeted problem in this paper.