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Sharma, Puneet
- Empowering the Future 5G Networks:An AI Based Approach
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Authors
Affiliations
1 Ericsson, IN
1 Ericsson, IN
Source
Telecom Business Review, Vol 10, No 1 (2017), Pagination: 53-59Abstract
The next telecommunications standard, 5G, envisions that the future networks will support advanced use cases, such as Internet of things while supporting voluminous simultaneous connections with high bandwidth as well as low latency. Further, these 5G deployments will not be static in nature, with new use cases and service requirements evolving in future. Such requirements pose many deployment and operational challenges to MNOs. These use cases would not only require the networks to be aware of connectivity related parameters, but also adapt intelligently based on parameters beyond the network. This requires the 5G networks to be capable of addressing conditions which are not foreseen at the time of designing them. Such capability requirements can be adequately addressed by advances in the field of AI and machine learning. The objective of this paper is to explore ways to leverage AI and machine learning for enhancing the 5G network deployments and operations. This paper attempts to decipher future demands from the 5G networks analyzing specific requirements in the areas of network planning, network operations and network optimization. This paper also discusses the strategic perspective for MNOs to benefit from applications of AI in 5G networks.Keywords
5G, AI, Machine Learning, 5G Challenges, Operations, Network Automation.References
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- Digital Transformation at Workplace:ICT as a Key Enabler of Smarter Buildings
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The objective of this paper is to highlight the advances in ICT which can be utilized to create smarter buildings. Although there are several benefits of smarter buildings, the paper focuses on employing ICT to create better working environment for the occupants while enhancing the space utilization. This paper explores how smart workspaces can benefit organizations and identifies the ICT architecture for smart buildings. This paper also discusses stakeholders in the context of smart building and their perspective on benefits and opportunities in this space. The paper concludes with highlighting a few case studies of smart buildings across the world. The methodology includes analyzing and proposing advanced use cases possible by integrating the enterprise IT systems with IoT/M2M sensors and building management systems.
Authors
Affiliations
1 Ericsson, IN
1 Ericsson, IN
Source
Telecom Business Review, Vol 10, No 1 (2017), Pagination: 60-67Abstract
The topic of smart buildings is often discussed interchangeably with sustainable buildings which have been in focus for quite some time. The key selling point for such buildings is addressing the green environment agenda as well as reducing operational costs via efficient energy usage. A significant aspect however often left out while discussing smart buildings is related to the potential benefits that businesses can accrue by leveraging the power of ICT. These benefits mainly encompass enhanced employee productivity, employee engagement and improved space utilization of building premises.The objective of this paper is to highlight the advances in ICT which can be utilized to create smarter buildings. Although there are several benefits of smarter buildings, the paper focuses on employing ICT to create better working environment for the occupants while enhancing the space utilization. This paper explores how smart workspaces can benefit organizations and identifies the ICT architecture for smart buildings. This paper also discusses stakeholders in the context of smart building and their perspective on benefits and opportunities in this space. The paper concludes with highlighting a few case studies of smart buildings across the world. The methodology includes analyzing and proposing advanced use cases possible by integrating the enterprise IT systems with IoT/M2M sensors and building management systems.
Keywords
Smart Building, Smart Workspace, Employee Productivity, Space Utilization, Digital Transformation.References
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