Title :
Energy Efficient MIMO Relay Transmissions via Joint Power Allocations
Author :
Chunguo Li ; Fan Sun ; Cioffi, J.M. ; Luxi Yang
Author_Institution :
Sch. of Inf. Sci. & Eng., Southeast Univ., Nanjing, China
Abstract :
The energy efficient joint source-relay power allocation problem is studied for the multi-input multi-output (MIMO) amplify-and-forward two-hop relaying system, in which the objective of the optimization is the number of the bits per second per hertz per Joule with the guarantee of the minimum spectral efficiency (SE). By assuming perfect channel state information at the transmitter, the MIMO channel is divided into several single-input single-output (SISO) subchannels via singular value decomposition (SVD). The problem is first established as an optimization subject to the minimum SE constraint, in which it is observed that both of the cost function and the constraint are not convex. By employing the high signal-to-noise ratio (SNR) approximation, the problem becomes suddenly a pseudo-convex optimization problem. Yet, the difficulty comes from solving the final Lagrangian equation, which is tackled by our proposed relaxation method according to the Jensen inequality. Finally, the analytical expression is derived for the energy efficient power allocations of the multiple antennas at the source and at the relay. Simulations demonstrate the effectiveness of the proposed method.
Keywords :
MIMO communication; amplify and forward communication; approximation theory; convex programming; relay networks (telecommunication); telecommunication power management; wireless channels; Jensen inequality; MIMO amplify-and-forward two-hop relaying system; MIMO channel; MIMO relay transmissions; SE; SISO subchannels; SNR approximation; SVD; channel state information; joint power allocations; joint source relay power allocation problem; minimum spectral efficiency; multi-input multi-output system; power allocations; pseudo convex optimization problem; signal-to-noise ratio; single-input single-output subchannels; singular value decomposition; Antennas; Joints; MIMO; Optimization; Power demand; Relays; Resource management; Analytical expression; energy efficiency (EE); joint power allocation; multi-input multi-output (MIMO); two-hop relay;
Journal_Title :
Circuits and Systems II: Express Briefs, IEEE Transactions on
DOI :
10.1109/TCSII.2014.2327317