Queue-Sharing Multiple Access

Queue-Sharing Multiple Access (QSMA) is introduced and analyzed. The new channel-access method  consists of establishing  and maintaining a distributed transmission queue among nodes sharing a common channel  and results in   a sequence of queue cycles, with each cycle having one or multiple  queue turns with collision-free transmissions from  nodes that have joined the transmission queue, followed by a joining period for the current cycle.   Nodes can take advantage of carrier sensing to improve the efficiency with which nodes join and use the shared transmission queue. The throughput of  ALOHA with priority ACK's,  CSMA with priority ACK's,  CSMA/CD with priority ACK's, TDMA with a fixed schedule, and QSMA with and without carrier sensing is compared analytically and by simulation in ns-3.  The results show that QSMA is more efficient  than TDMA with the simplicity of CSMA or ALOHA

White paper on critical and massive machine type communication towards 6G

Executive Summary By 2030, our societies will become digitalized and data-driven, enabled through the key verticals like connected industries, intelligent transport systems and smart cities. Machine Type Communication (MTC) encompassing its massive and critical aspects, and near instant unlimited wireless connectivity are among the main enablers of such digitalization at large. The recently introduced 5G New Radio is natively designed to support both aspects of MTC to promote the digital transformation of the society and particularly improve the overall efficiency of different vertical sectors. However, it is evident that some of the more demanding requirements of MTC cannot be fully supported by 5G networks. Alongside, further development of the society towards 2030 will give rise to new and more stringent requirements on wireless connectivity in general, and MTC in particular. Driven by the societal trends towards 2030, the next generation (6G) will be an agile and efficient convergent network serving a set of diverse service classes and a wide range of key performance indicators (KPI). This white paper explores the main drivers and requirements of an MTC-optimized 6G network, and presents a set of research directions for different aspects of MTC that can be synthesized through the following six key research questions: Will the main KPIs of 5G, namely reliability-latencyscalability, continue to be the dominant KPIs in 6G; or will emerging metrics such as energy-efficiency, end-to-end (E2E) performance measures and sensing become more important? How can different E2E service mandates with different KPI requirements be delivered through a multidisciplinary approach jointly considering optimization at the physical up to the application layer? What are the key enablers towards designing ultralow power receivers and highly efficient sleep modes to support ultra-low-cost ultra-low-power or even passive MTC devices? How can a disruptive rather than incremental joint design of a massively scalable waveform and medium access policy be tackled to efficiently support global connectivity for MTC? How can new service classes characterizing missioncritical and dependable MTC in 6G be supported through multifaceted connectivity and non-cellular centric wireless solutions? What are the potential enablers of long-term secure schemes considering the heterogeneous requirements and capabilities of MTC devices? How can lightweight and flexible usable ways of handling privacy and trust be designed in MTC by combining the user perspective with the technical perspective

Machine type communications:key drivers and enablers towards the 6G era

Abstract The recently introduced 5G New Radio is the first wireless standard natively designed to support critical and massive machine type communications (MTC). However, it is already becoming evident that some of the more demanding requirements for MTC cannot be fully supported by 5G networks. Alongside, emerging use cases and applications towards 2030 will give rise to new and more stringent requirements on wireless connectivity in general and MTC in particular. Next generation wireless networks, namely 6G, should therefore be an agile and efficient convergent network designed to meet the diverse and challenging requirements anticipated by 2030. This paper explores the main drivers and requirements of MTC towards 6G, and discusses a wide variety of enabling technologies. More specifically, we first explore the emerging key performance indicators for MTC in 6G. Thereafter, we present a vision for an MTC-optimized holistic end-to-end network architecture. Finally, key enablers towards (1) ultra-low power MTC, (2) massively scalable global connectivity, (3) critical and dependable MTC, and (4) security and privacy preserving schemes for MTC are detailed. Our main objective is to present a set of research directions considering different aspects for an MTC-optimized 6G network in the 2030-era