Software defined air interface: a framework of 5G air interface

Sun, Qi; Chin-Lin, I; Han, Shuangfeng; Xu, Zhijiang; Pan, Zhengang

doi:10.1109/wcncw.2015.7122520

Cited by 16 publications

(7 citation statements)

References 7 publications

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“…The authors in [179] have reported that the Software-Defined Air-Interface (SDAI) design significantly improves usage efficiency and widens the horizon of spectrum accessibility. The SDAI design is proposed as a design framework for air interface; it involves controller and configurable elements, such as signal processing, coding, and modulation.…”

Section: Above 100 Ghz (100-300 Ghz)mentioning

confidence: 99%

Issues, Challenges, and Research Trends in Spectrum Management: A Comprehensive Overview and New Vision for Designing 6G Networks

et al. 2020

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With an extensive growth in user demand for high throughput, large capacity, and low latency, the ongoing deployment of Fifth-Generation (5G) systems is continuously exposing the inherent limitations of the system, as compared with its original premises. Such limitations are encouraging researchers worldwide to focus on next-generation 6G wireless systems, which are expected to address the constraints. To meet the above demands, future radio network architecture should be effectively designed to utilize its maximum radio spectrum capacity. It must simultaneously utilize various new techniques and technologies, such as Carrier Aggregation (CA), Cognitive Radio (CR), and small cell-based Heterogeneous Networks (HetNet), high-spectrum access (mmWave), and Massive Multiple-Input-Multiple-Output (M-MIMO), to achieve the desired results. However, the concurrent operations of these techniques in current 5G cellular networks create several spectrum management issues; thus, a comprehensive overview of these emerging technologies is presented in detail in this study. Then, the problems involved in the concurrent operations of various technologies for the spectrum management of the current 5G network are highlighted. The study aims to provide a detailed review of cooperative communication among all the techniques and potential problems associated with the spectrum management that has been addressed with the possible solutions proposed by the latest researches. Future research challenges are also discussed to highlight the necessary steps that can help achieve the desired objectives for designing 6G wireless networks.

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Section: Above 100 Ghz (100-300 Ghz)mentioning

confidence: 99%

Issues, Challenges, and Research Trends in Spectrum Management: A Comprehensive Overview and New Vision for Designing 6G Networks

et al. 2020

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“…In our shared vision, the next generation of wireless systems will transform the 5G service-oriented networks into usercentric and machine ad-hoc dynamic (re)configuration of network slices. This will be made possible by softwaredefined end-to-end solutions from the core to the radio access network (RAN), including the air interface [2] as well as the RF and antenna systems [3]. These latter are envisioned as key technologies to meet the user/service requirements.…”

Section: Proposed 6g Visionmentioning

confidence: 99%

Aggregated Massive Modular Paradigm: A 6G Telecom Infrastructure Vision

PETIT¹,

DORE²,

MERCIER³

et al. 2020

Preprint

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Our novel disruptive deployment strategy focuses on using cost-efficient modules along with aggregated connectivity that target 6G data throughput and capacity requirement. From our perspective it would be a great benefit to operators and users. Cost effectiveness will be met through integration and volume. Indeed, cost efficiency would be derived from mass-market of sub-6GHz devices (already mainly COTS) and later toward mmW such as 5G-FR2 and near-THz. Our shared vision provides a great perspective for ubiquitous modularity and pervasive networks which are clear and challenging objectives of 6G roadmaps. Authors propose a vision and are grateful for open discussions.

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“…In Ref. [13], SDAI (Software Defined Air Interface) is proposed as a framework of 5G air interface. In SDAI, modules and related parameters are adapted in real time to flexibly fit all sorts of applications for 5G, and to realize agility and efficiency.…”

Section: Crmentioning

confidence: 99%

Wireless big data: transforming heterogeneous networks to smart networks

Huang

Tan

Liang

2017

J. Commun. Inf. Netw.

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In HetNets (Heterogeneous Networks), each network is allocated with fixed spectrum resource and provides service to its assigned users using specific RAT (Radio Access Technology). Due to the high dynamics of load distribution among different networks, simply optimizing the performance of individual network can hardly meet the demands from the dramatically increasing access devices, the consequent upsurge of data traffic, and dynamic user QoE (Quality-of-Experience). The deployment of smart networks, which are supported by SRA (Smart Resource Allocation) among different networks and CUA (Cognitive User Access) among different users, is deemed a promising solution to these challenges. In this paper, we propose a framework to transform HetNets to smart networks by leveraging WBD (Wireless Big Data), CR (Cognitive Radio) and NFV (Network Function Virtualization) techniques. CR and NFV support resource slicing in spectrum, physical layers, and network layers, while WBD is used to design intelligent mechanisms for resource mapping and traffic prediction through powerful AI (Artificial Intelligence) methods. We analyze the characteristics of WBD and review possible AI methods to be utilized in smart networks. In particular, the potential of WBD is revealed through high level view on SRA, which intelligently maps radio and network resources to each network for meeting the dynamic traffic demand, as well as CUA, which allows mobile users to access the best available network with manageable cost, yet achieving target QoS (Quality-of-Service) or QoE.

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Software defined air interface: a framework of 5G air interface

Cited by 16 publications

References 7 publications

Issues, Challenges, and Research Trends in Spectrum Management: A Comprehensive Overview and New Vision for Designing 6G Networks

Issues, Challenges, and Research Trends in Spectrum Management: A Comprehensive Overview and New Vision for Designing 6G Networks

Aggregated Massive Modular Paradigm: A 6G Telecom Infrastructure Vision

Wireless big data: transforming heterogeneous networks to smart networks

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