Energy efficiency analysis and optimization for reconfigurable intelligent surface aided DF relay cooperation with minimum-rate guarantee

Shunwai Zhang (), Lulu Song (), Jun Li () and Tho Le-Ngoc ()
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Shunwai Zhang: Nanjing University of Posts and Telecommunications
Lulu Song: Nanjing University of Posts and Telecommunications
Jun Li: Nanjing University of Science and Technology
Tho Le-Ngoc: McGill University

Telecommunication Systems: Modelling, Analysis, Design and Management, 2023, vol. 83, issue 4, No 4, 365-380

Abstract: Abstract We consider an energy-efficient reconfigurable intelligent surface (RIS)-aided decode-and-forward relay cooperation scheme with minimum-rate guarantee. Although the emerging RIS has a similar role as the traditional relay, RIS and relay are essentially different and can complement each other. Firstly, we derive the upper bounds on the energy efficiency (EE) of the considered scheme over Rayleigh fading channels for given transmit powers at the source and relay. Secondly, we investigate the EE optimization problem with minimum-rate guarantee in two scenarios with fixed and upper-bounded total transmit powers. In the fixed power scenario, the phase shifts at two time slots are optimized based on the channel state information (CSI), and then the EE optimization problem is reformulated to an equivalent optimal power allocation problem with minimum-rate guarantee, which can be solved by convex optimization techniques. In the upper-bounded power scenario, the corresponding non-convex EE optimization problem is solved by the proposed method using fractional programming and generalized Dinkelbach’s algorithm. Finally, illustrative simulation results demonstrate the superiorities of the considered scheme as compared with the benchmark schemes and reveal the effects of various factors on its performance. Simulation results also show the good robustness of the considered scheme against imperfect CSI and discrete phase shifts of RIS.

Keywords: Decode-and-forward relay; Energy efficiency; Minimum-rate guarantee; Optimal power allocation; Reconfigurable intelligent surface (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11235-023-01024-2

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