Open AccessAdaptive power allocation strategies for distributed space‐time coding in cooperative MIMO networks
Author(s) -
Peng Tong,
Lamare Rodrigo C.,
Schmeink Anke
Publication year - 2014
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2013.0555
Subject(s) - mimo , computer science , relay , algorithm , computational complexity theory , minimum mean square error , coding (social sciences) , channel (broadcasting) , mathematical optimization , control theory (sociology) , power (physics) , mathematics , telecommunications , physics , statistics , control (management) , quantum mechanics , estimator , artificial intelligence
Adaptive power allocation (PA) algorithms with different criteria for a cooperative multiple‐input multiple‐output network equipped with distributed space‐time coding are proposed and evaluated. Joint constrained optimisation algorithms to determine the PA parameters and the receive filter are proposed for each transmitted symbol in each link, as well as the channel coefficients matrix. Linear receive filter and maximum‐likelihood detection are considered with amplify‐and‐forward and decode‐and‐forward cooperation strategies. In these proposed algorithms, the elements in the PA matrices are optimised at the destination node and then transmitted back to the relay nodes via a feedback channel. The effects of the feedback errors are considered. Linear minimum mean square error expressions and the PA matrices depend on each other and are updated iteratively. Stochastic gradient algorithms are developed with reduced computational complexity. Simulation results show that the proposed algorithms obtain significant performance gains as compared with existing PA schemes.