Sparse code multiple access (SCMA) is a kind of code-domain non-orthogonal multiple access (NOMA) scheme, which can support the increasing requirements for high spectral efficiency and massive connections. Meanwhile, multi-access edge computing (MEC) is a promising technology for providing resource-constrained users with computing resources. The integration of these two technologies can efficiently improve the computation service. In this paper, we propose a novel optimization scheme in the SCMA-based MEC network from the perspective of energy and latency for the Internet of Things (IoT) devices. To minimize the total overhead of devices, the communication and computation resources allocation, as well as computation offloading are jointly considered. Primarily, a joint SCMA codebook assignment based on the bidirectional matching principle and optimal power allocation algorithm is proposed to maximize the uplink transmit rate. Moreover, we put forward CPU frequency scheduling strategies utilizing convex optimization to optimize the computing resources allocation of local devices and the MEC server. Finally, a low-complexity task offloading policy based on simulated annealing is presented. Numerical results show that our proposed joint optimization algorithm for resource allocation and computation offloading can achieve a good compromise between time delay and energy consumption for IoT devices.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    An Optimization Scheme for SCMA-Based Multi-Access Edge Computing


    Contributors:
    Liu, Pengtao (author) / Lei, Jing (author) / Liu, Wei (author)


    Publication date :

    2021-04-01


    Size :

    1972993 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Layer-Aware Interference Mitigation Scheme for Downlink Multi-User SCMA System

    Li, Xinmin / Qiu, Ling / Liang, Xiaowen | IEEE | 2017



    SCMA: A Promising Non-Orthogonal Multiple Access Technology for 5G Networks

    Chen, Yan / Bayesteh, Alireza / Wu, Yiqun et al. | IEEE | 2016