Abstract
—By introducing nonorthogonal multiple access (NOMA) based millimeter wave (mmW) communication, it can significantly improve the transmission efficiency of mobile edge computing (MEC) offloading. In this paper, we are motivated to investigate the resource allocation (RA) problem of the NOMA-mmW scheme based MEC offloading system, by jointly optimizing the beamwidth, user equipment (UE) scheduling and transmit power. To tackle the mixed integer nonlinear programming (MINLP) problem of delay minimization, we develop the alternative optimization (AO) approach based RA scheme, namely AO-RA, to obtain the close-optimum solutions. In the AO-RA scheme, we propose the matrix control many-to-one with externality (MC-M2OE) algorithm, to find the best UE scheduling for the NOMA groupings of different types of UEs. Up on the above, we further design the joint beamwidth and transmit power (JBTP) algorithm, which determines the optimal beamwidth and transmit power for the MEC offloading transmissions. Our simulation results show the effectiveness of the proposed AO-RA scheme in minimizing the offloading delay, where our MC-M2OE and JBTP algorithms can significantly outperform the existing approaches. From the simulation results, we may conclude that, it needs to carefully address the trade-off between beam alignment overhead and transmission gain, while properly balancing the loading among different NOMA groups, for the practical consideration of NOMA-mmW MEC technology.