Abstract
This paper presents several analytic closed-form approximations of the aggregated interference statistics within the framework of uplink massive machine-type-communications (mMTC), taking into account the random activity of the sensors. Given its discrete nature and the large number of devices involved, a continuous approximation based on the Gram–Charlier series expansion of a truncated Gaussian kernel is proposed. We use this approximation to derive an analytic closed-form expression for the outage probability, corresponding to the event of the signal-to-interference-and-noise ratio being below a detection threshold. This metric is useful since it can be used for evaluating the performance of mMTC systems. We analyze, as an illustrative application of the previous approximation, a scenario with several multi-antenna collector nodes, each equipped with a set of predefined spatial beams. We consider two setups, namely single- and multiple-resource, in reference to the number of resources that are allocated to each beam. A graph-based approach that minimizes the average outage probability, and that is based on the statistics approximation, is used as allocation strategy. Finally, we describe an access protocol where the resource identifiers are broadcast (distributed) through the beams. Numerical simulations prove the accuracy of the approximations and the benefits of the allocation strategy.
Highlights
Machine-type-communications (MTC) have drawn a lot of attention in the past years among academic and industrial communities
For each sensor, we focus on the detection at the collector nodes (CNs)–beam pair leading to the largest signal-to-noise ratio (SNR) after the spatial filter
We address the problem of how to model the aggregated interference statistics, which captures the sporadic activity of sensors in the context of UL massive machine-type-communications (mMTC)
Summary
Machine-type-communications (MTC) have drawn a lot of attention in the past years among academic and industrial communities. They can be defined as a set of transmissions between connected terminals with no human interaction [1], which will enable the creation of a myriad of applications such as the Internet-of-Things (IoT) [2,3]. This is the reason they have become an essential part of the evolution towards future mobile communications. Coexistence with current systems will play an important role in the entire progress of development of mobile generations [12,13]
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