With the massive deployment of 5G commercial, the interconnection of all things promotes the transformation and upgrading of the social production mode. The Internet of Things (IoT) is supported by the massive machine-type communications (mMTC), which is one of the three major application scenarios of 5G. Recently, a novel spreading based non-orthogonal multiple access (NOMA) scheme named tandem spreading multiple access (TSMA) has been proposed for grant-free random access in mMTC. However, TSMA only considers the case of single antenna. In this article, a multi-antenna system scheme of TSMA with MIMO (MIMO-TSMA) is proposed to scale up user connections. In this scheme, spectrum efficiency can be promoted by sharing the non-orthogonal resources in different beams. The simulation results show that MIMO-TSMA can effectively take advantage of MIMO and TSMA to enhance the mMTC system performance.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Tandem Spreading Multiple Access with MIMO for Massive Reliable IoT Communications


    Contributors:
    Dai, Jiming (author) / Ma, Guoyu (author) / Ma, Yiyan (author) / Xue, Zhen (author) / Wang, Ning (author) / Ai, Bo (author)


    Publication date :

    2022-09-01


    Size :

    483090 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A Slotted Polar Random Spreading Scheme for Massive MIMO Unsourced Random Access

    Liang, Zijie / Su, Yiwei / Song, Huiying et al. | IEEE | 2023


    mmWave massive MIMO vehicular communications

    Cheng, Xiang / Gao, Shijian / Yang, Liuqing | TIBKAT | 2023


    Massive MIMO air-to-ground communications

    Zhang, Chao / Xiao, Jialuo / Zhang, Yaxin | IEEE | 2014


    Massive MIMO Air-to-Ground communications

    Zhang, Chao / Xiao, Jialuo / Zhang, Yaxin | IEEE | 2014


    Beam Squint Inspired Multiple Access Technique in Massive MIMO Systems

    Kihero, Abuu B. / Afeef, Liza / Arslan, Huseyin | IEEE | 2022