C. S. Ferdowsy, Z. Bouida, and Mohamed Ibnkahla
The growing popularity of the Internet of Things’ (IoT) applications comes with new challenges for wireless communications. Indeed, wireless transmission systems should more efficiently support heterogeneous traffic from diverse types of information sources. In this paper, we propose a set of traffic-oriented transmission schemes for a massive MIMO system that adapts the number of antennas based on three types of IoT traffic (i) energy sensitive, (ii) throughput sensitive, and (iii) highly reliable traffic. We jointly consider the uplink and downlink transmission for every IoT traffic and our energy efficient model reveals the optimum number of antennas that ensure each traffic’s Quality of Service (QoS) when communicating with a certain number of IoT nodes. Numerical results are shown in terms of average transmit power, spectral efficiency, average area throughput and energy efficiency. The results demonstrate that the performance is improved with the number of nodes which ensures the scalability of the IoT network.
C. S. Ferdowsy, Z. Bouida, and M. Ibnkahla, “Traffic Adaptive Transmission Schemes for the Internet of Things,” in 2020 International Conference on Communications, Signal Processing, and their Applications (ICCSPA), Mar. 2021, pp. 1–6. doi: 10.1109/ICCSPA49915.2021.9385729.
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