An Outlook on the Unlicensed Operation Aspects of NR

Semaan, Eliane; Ansari, Junaid; Li, Gen; Tejedor, Erika; Wiemann, Henning

doi:10.1109/wcnc.2017.7925443

Cited by 15 publications

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the academic side, spectrum sharing and interference mitigation as well as dynamic frequency selection (DFS) are being studied at the early stages of NR-U development [39]; similarly, a Listen-Before-Receive (LBR) technique for unlicensed shared spectrum under the coexistence with NR is considered in [40]. Moreover, Qualcomm as a driver behind LTE-U has also suggested the potential use cases and the underlying spectrum sharing properties of NR-U, which has attracted focused attention to this initiative [41].…”

Section: Towards Performance Analysis Of Integration Optionsmentioning

confidence: 99%

Integrated Use of Licensed- and Unlicensed-Band mmWave Radio Technology in 5G and Beyond

Sopin²,

Petrov³

et al. 2019

IEEE Access

View full text Add to dashboard Cite

The 3GPP standardization rapidly moves forward with studies of a wide-bandwidth waveform as well as an adaptation of the emerging 5G new radio (NR)-based access to the unlicensed spectrum (NR-U). One of the basic architectures for NR-U involves carrier aggregation of an anchor-licensed-NR carrier and a secondary carrier in unlicensed spectrum, which altogether allows for seamless traffic offloading in scenarios where multi-gigabit data rates are required. While today's research on NR-U addresses mostly physical-and protocol-layer aspects, a system-level performance of the NR-U offloading mechanisms has not been investigated thoroughly. In this paper, we develop a mathematical queuing-theoretic framework that is mindful of the specifics of millimeter-wave (mmWave) session dynamics and may serve as a flexible tool for the analysis of various strategies for the integrated use of licensed and unlicensed mmWave bands in terms of the session drop probability and system utilization. To illustrate this, we select three distinct strategies (based on sequential service, probabilistic offloading, or proportional splitting), and complement our mathematical models with a detailed performance evaluation in a representative massive augmented/virtual reality scenario. Based on this quantitative analysis of the selected schemes, we conclude that proportional splitting of traffic between the two mmWave bands leads to a better performance. We believe that the contributed mathematical analysis can become an important building block in further system development and service optimization across many usage scenarios.

show abstract

Section: Towards Performance Analysis Of Integration Optionsmentioning

confidence: 99%