Open AccessLow‐complexity energy‐efficient power allocation scheme for distributed MISO system with beamforming
Author(s) -
Xu Weiye,
Yu Xiangbin,
Teng Tao
Publication year - 2019
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2019.2517
Subject(s) - mathematical optimization , beamforming , upper and lower bounds , scheme (mathematics) , power (physics) , mathematics , computational complexity theory , transmitter power output , energy (signal processing) , function (biology) , control theory (sociology) , computer science , algorithm , telecommunications , channel (broadcasting) , mathematical analysis , statistics , physics , transmitter , control (management) , quantum mechanics , evolutionary biology , artificial intelligence , biology
This letter investigates the energy efficiency (EE) optimisation of a distributed multiple‐input single‐output (D‐MISO) system, and a suboptimal power allocation (PA) scheme with low complexity is developed for D‐MISO system with beamforming. Different from the existing optimal PA scheme that needs iterative calculation, the developed scheme can provide closed‐form PA and no iteration is required. Using the Cauchy–Schwarz inequality, the upper bound of EE is first obtained, and then the optimised objective function is formulated subject to a set of power budget constraints. By maximising this upper bound, a suboptimal PA scheme for the system is derived, and closed‐form PA coefficients are attained. Interestingly, it is found that the proposed scheme has the same general form of PA as the optimal scheme. Numerical results verify the effectiveness of the proposed scheme, it can achieve the EE performance very close to that of the existing optimal scheme due to better approximation, but it has lower complexity than the latter.