Joint Hybrid Beamforming and Offloading for mmWave Mobile Edge Computing Systems | IEEE Conference Publication | IEEE Xplore

Joint Hybrid Beamforming and Offloading for mmWave Mobile Edge Computing Systems


Abstract:

In this paper, we investigate the joint design of hybrid beamforming and demanding computation tasks offloading in mmWave-based mobile edge computing (MEC) systems, in or...Show More

Abstract:

In this paper, we investigate the joint design of hybrid beamforming and demanding computation tasks offloading in mmWave-based mobile edge computing (MEC) systems, in order to minimize the maximum latency. The resulting optimization problem is challenging, mainly due to the highly nonlinear objective function and the unit modulus constraints on the analog beamformers. By seeking the special structure of the problem, we divide it into two separate problems. An iterative weighted mean-square error minimization (WMMSE) approach is adopted to address the first optimization problem, and the second problem is solved in closed-form. We also investigate a more practical scheme when only finite resolution phase shifters are implemented. Simulation results are provided to confirm that the proposed strategy achieves significant better performance than recent reported beamforming algorithm with fixed offloading ratio, and it is effective when low-resolution phase shifters are used.
Date of Conference: 15-18 April 2019
Date Added to IEEE Xplore: 31 October 2019
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Conference Location: Marrakesh, Morocco

References

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