Tackling these research challenges effectively will be critical in ensuring that the new unlicensed bands are efficiently utilized while guaranteeing the interference-free operation of the bands’ incumbent users. Finally, we highlight a few key research problems that are likely to arise due to unlicensed operations in the 6 GHz bands. Our survey encompasses key research papers, contributions submitted to standardization bodies and regulatory agencies, and documents presented at various other venues. We also shed light on the foreseeable challenges that designers of unlicensed RATs might face in the near future. In particular, we discuss how key features in next-generation Wi-Fi are being designed to leverage these additional unlicensed bands. In this paper, we provide a comprehensive survey of the existing literature on various issues surrounding the operations of unlicensed RATs in the 6 GHz bands. However, coexistence of unlicensed devices both with the bands’ incumbent users and across different unlicensed RATs present significant challenges. The abundance of spectrum in these bands creates new opportunities for the design of mechanisms and features that can support the emerging bandwidth-intensive and latency-sensitive applications. These bands will open up 1.2 GHz of additional spectrum for unlicensed radio access technologies (RATs), such as Wi-Fi and 5G New Radio Unlicensed (NR-U), in the US and if permitted, 500 MHz of additional spectrum in Europe. The ever-increasing demand for unlicensed spectrum has prompted regulators in the US and Europe to consider opening up the 6 GHz bands for unlicensed access. We also use the model to numerically study the differentiation performance and find that beta differentiation, though rejected during the standardization process, is an effective differentiation mechanism that has some advantages over the other mechanisms. We derive simple asymptotics and approximations for the mean and standard deviation of the access delay, which reveal the salient model parameters for performance under different differentiation mechanisms. Comparison with simulation confirms the accuracy of our analytical model over a wide range of operating conditions.

By applying numerical inversion on the generating function, we are able to efficiently compute values of the distribution.

Explicit expressions for the mean, standard deviation and generating function of the access delay distribution are derived. We develop a detailed analytical model to evaluate the influence of all EDCA differentiation parameters, namely AIFS, CWmin, CWmax and TXOP limit, as well as the backoff multiplier beta. We analyze the MAC access delay of the IEEE 802.11e EDCA mechanism under saturation.

Modeling the ieee 802.11e edca for mac