Power Allocation Schemes for DAS With OFDM Under Per-Antenna Power Constraint

• Published in: IEEE transactions on vehicular technology Vol. 67; no. 10; pp. 10102 - 10106
• Main Authors: Yu, Xiangbin, Xu, Weiye, Leung, Shu-Hung, Dang, Xiaoyu, Teng, Tao
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.10.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Antenna arrays; Antennas; block coordinate descent (BCD) method; Channel capacity; Closed form solutions; Codes; Computer simulation; Design optimization; Distributed antenna systems (DASs); Exact solutions; Fading channels; Iterative algorithms; Iterative methods; Mathematical analysis; Maximization; Maximum power; multipath fading channels; OFDM; Optimization; Orthogonal Frequency Division Multiplexing; orthogonal frequency division multiplexing (OFDM); Ports; power allocation (PA); Power management; Resource management; Subcarriers; Upper bounds
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2018.2861773

In this paper, three power allocation (PA) schemes for distributed antenna (DA) systems with orthogonal frequency division multiplexing over multipath fading channels are presented. Unlike the conventional total power constraint, power constraints for individual antenna ports are considered. By maximizing the channel capacity of the system subject to per-antenna maximum power constraints, the optimization problem for the PA design is formulated. Based on the block coordinate descent method, an optimal PA scheme to the optimization problem is derived. Considering that the optimal scheme is an iterative algorithm, a suboptimal PA scheme is derived by maximizing an upper bound of the channel capacity, which provides a closed-form PA procedure. Interestingly, this suboptimal scheme can obtain almost the same performance as the optimal one for large number of subcarriers, low maximum power, and/or small number of DA ports. To reduce the performance loss, a modified suboptimal scheme with closed-form PA is developed, and it has the capacity performance very close to the optimal scheme. Computer simulations verify the effectiveness of the three proposed schemes.