Homotopy Approach for Energy-Efficient MIMO Systems With Zero-Forcing Transceivers

• Published in: IEEE transactions on vehicular technology Vol. 66; no. 2; pp. 1233 - 1247
• Main Authors: Dai, Jisheng, Xu, Weichao, Ye, Zhongfu, Hu, Nan, Chang, Chunqi
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.02.2017; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Allocations; Antennas; Complexity; Computer simulation; Energy efficiency (EE); homotopy method; MIMO; MIMO (control systems); multiple-input multiple-output (MIMO); Nonlinear programming; Optimization; piecewise-defined method; Power demand; Resource management; solution path; Transceivers; Uplink; zero-forcing (ZF)
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2016.2557658

This paper addresses energy efficiency (EE) optimization problems for uplink multiuser multiple-input-multiple-output (MIMO) systems with zero-forcing (ZF) transceivers, subject to a joint power and rate constraint for each user. As the optimization problem considered in this paper is quite different from the traditional one, directly applying the Dinkelbach method to the new EE optimization problem cannot bring an advantage of low complexity. Hence, we try to propose a novel approach inspired by the homotopy algorithms, where we concentrate our attention on the solution path for the EE optimization. Making use of the piecewise-defined property between power allocations and the overall transmission power, we fit the entire path of solution for every value of the overall transmission power by replacing the search variable with a specially selected parameter. By checking only a finite number of breakpoints, we then try to propose a new homotopy-type algorithm to obtain the maximum EE in an exact closed form to reduce the computational complexity significantly. Simulation results verify the performance of the new method.