Energy Efficiency of RIS-Assisted NOMA-Based MEC Networks in the Finite Blocklength Regime

Yang, Yang; Hu, Yulin; Gursoy, M. Cenk

doi:10.1109/tcomm.2023.3334811

Cited by 6 publications

(1 citation statement)

References 24 publications

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“…W ITH the rapid development of communication technology, a large number of compute-intensive and delay-sensitive applications have emerged, such as virtual reality, autonomous driving, and digital twin [1]- [3]. Because of the restricted computing capabilities, it is challenging for these wireless devices (WDs) to fulfill the low latency and high reliability computing needs of the applications.…”

Section: Introductionmentioning

confidence: 99%

Latency Minimization for IRS-Aided NOMA MEC Systems With WPT-Enabled IoT Devices

Zeng

Mishra

et al. 2023

IEEE Internet Things J.

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Intelligent reflecting surface (IRS) has been considered as an efficient way to boost the computation capability of mobile edge computing (MEC) system, especially when the communication links is blocked or the communication signal is weak. However, most existing works are restricted to narrowband channel and ideal IRS reflection model, which is not practical and may lead to significant performance degradation in realistic systems. To further exploit the benefits of IRS in MEC system, we consider an IRS-enhanced wideband MEC system with practical IRS reflection model. With the aim of minimizing the weighted latency of all devices, the offloading data volume, edge computing resource, BS's receiving vector, and IRS passive beamforming are jointly optimized. Since the formulated problem is non-convex, we employ the block coordinate descent (BCD) technique to decouple it into two subproblems for alternatively optimizing computing and communication settings. The effectiveness and convergence of the proposed algorithm are validate via numerical analyses. In addition, simulation results demonstrate that the proposed algorithm can achieve lower latency compared to that based on the ideal IRS reflection model, which confirms the necessary of considering practical model when designing an IRS-enhanced wideband MEC system.

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Section: Introductionmentioning

confidence: 99%