2022
DOI: 10.1016/j.phycom.2022.101697
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Computation rate maximization for IRS-enhanced dynamic spectrum access assisted MEC system

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Cited by 2 publications
(1 citation statement)
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“…Sun [20] algorithm is further developed to solve the formulated training delay minimization problem. Kang [21] considered the integration of the IRS enhanced dynamic spectrum access (DSA) technology to a mobile edge computing(MEC) system, and studied the pertinent joint optimization of the phase shift coefficients of the IRS, the transmission powers, the central processing unit (CPU) frequencies, as well as the task offloading time allocations of the secondary users (SUs) to maximize the average computation bits of the SUs. Based on the flexibility of the IRS to adjust its beamforming (BF) vector in each transmission frame, Chen [22] proposed three different dynamic IRS beamforming (DIBF) schemes.…”
Section: Introductionmentioning
confidence: 99%
“…Sun [20] algorithm is further developed to solve the formulated training delay minimization problem. Kang [21] considered the integration of the IRS enhanced dynamic spectrum access (DSA) technology to a mobile edge computing(MEC) system, and studied the pertinent joint optimization of the phase shift coefficients of the IRS, the transmission powers, the central processing unit (CPU) frequencies, as well as the task offloading time allocations of the secondary users (SUs) to maximize the average computation bits of the SUs. Based on the flexibility of the IRS to adjust its beamforming (BF) vector in each transmission frame, Chen [22] proposed three different dynamic IRS beamforming (DIBF) schemes.…”
Section: Introductionmentioning
confidence: 99%