6G Ecosystem: Current Status and Future Perspective

Abstract

Next-generation of the cellular network will attempt to overcome the limitations of the current Fifth Generation (5G) networks and equip itself to address the challenges which become obvious in the future. Currently, academia and industry have focused their attention on the Sixth Generation (6G) network, which is anticipated to be the next big game-changer in the telecom industry. The outbreak of COVID'19 has made the whole world to opt for virtual meetings, live video interactions ranging from healthcare, business to education. However, we miss an immersive experience due to the lack of supporting technology. Experts have anticipated that starting from the post-pandemic age, the performance requirements of technology for virtual and real-time communication, the rise of several verticals such as industrial automation, robotics, and autonomous driving will increase tremendously, and will skyrocket during the next decade. In this manuscript, we study the latest perspectives and future megatrends that are most likely to drive 6G. Initially, we describe the instances that lead us to the vision of 6G. Later, we narrate some of the use cases and the KPIs essential to meet their performance requirement. Further, we highlight the key requirements of 6G based on contemporary research such as UN sustainability goals, business model, edge intelligence, digital divide, and the trends in machine learning for 6G.

Supportive 5G Infrastructure Policies are Essential for Universal 6G: Assessment Using an Open-Source Techno-Economic Simulation Model Utilizing Remote Sensing

“…The path loss is estimated based on the distance between the transmitter and receiver, using the 3GPP ETSI TR 138 901 (v14) channel model for frequencies ranging from 0.5-100 GHz. A log normal shadow fading distribution is used based on the provided 3GPP parameters [99] The interference (Interference i,j ) for the ith path from all neighboring jth cells can also be quantified using the received power estimation in (7), enabling the Signal-to-Inferenceplus-Noise ratio to be obtained, as per (9).…”

Probabilistic Spectrum Sensing Based on Feature Detection for 6G Cognitive Radio: A Survey

“…It has been recognized that upcoming and future communication technologies for beyond 5G will include diverse kinds of use cases and end-user devices (EUDs) to accommodate for novel applications which cover a much broader range of human enterprises, and are characterized by a variety of throughput and latency requirements [4], [121]- [123]. They are anticipated to substantially influence people's recreational activities, technological development, industry, transportation, health-care, disaster prevention and response, information exchange, remote control for decades to come [121], [122]. This is made possible through human-centric (HC) interaction with a variety of sensors, communication terminals and other intelligent devices, which operate both as fixed (such as fixed BSs, APs, terminals, etc.)…”

“…Fig. 4 takes the established all-encompassing concept for future networks [4], [121] and puts emphasis on integrating cognitive links between various types of SUs (handheld and wearable devices, drones, satellites, etc.) for optimal utilization of different portions of the spectrum.…”

“…Thus, the transceiver design aspects (Fig. 5) already described for the 6G vision in works such as [121] should be further expanded. Fig.…”

“…5 illustrates these design considerations (''Multi-antenna'', ''Multi-power'', ''Multi-RAT''), including Multi-spectrum access (''Multi-SA'') which describes the implementation of CR for intelligent wireless access provided by the coexistence of densely-deployed incumbent and non-incumbent users. As has been recognized in [121], the versatile 6G transceiver should consider the application of multiple antennas which is enabled by the higher carriers in mmWave and terahertz (THz) spectrum (''Multi-antenna''), the usage of multiple transmission power levels depending on the intensity and characteristics of the user traffic (''Multi-power''), as well as to support of multiple RATs (''Multi-RAT''). The ''Multi-SA'' aspect emphasizes the consideration of how the device accesses the spectrum which it utilizes, i.e.…”