MISO-Based MEC System With IRS: Joint Computation Offloading and Beamforming Optimization

Intelligent reflecting surface (IRS) has appeared as an innovative green and economical technique to markedly enhance the spectrum and energy efficiency in mobile edge computing (MEC) systems. However, limited by single antenna setting, the potential of IRS-aided MEC systems has not been fully exerted. To further improve the system computational performance, the paper introduces multiple-input single-output (MISO) technology, and proposes a MISO-based MEC system with IRS. In this system, IRS is utilized to support the communication between users and a multi-antenna access point integrated with edge servers. Also, we adopt non-orthogonal multiple access (NOMA) strategy for information transmission. The computation rate is maximized to optimally design receiver beamforming, CPU frequency, transmit power, and IRS phase shifts. This formulated problem is non-convex and challenging to solve due to multi-variable coupling. To tackle it, we exploit alternating optimization manner to address the four decoupled subproblems until convergence. Simulation results highlight the superior computation rate performance of our proposed IRS-aided MISO-based MEC system.