Horizontal Network Slicing for Wireless Resource Optimization
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Solution Overview
Problem
Current wireless communication networks face challenges in efficiently managing and optimizing resources to support diverse applications and services in 5G networks, particularly in terms of spectral efficiency, capacity, latency, and user experience, due to the heterogeneity of traffic and increasing demand for computing and communication capabilities.
Innovation Solution
The implementation of network slicing technology, which allows for the logical partitioning of radio access networks into vertical and horizontal slices, enabling flexible resource allocation, scalability, and efficient use of wireless resources. This involves creating programmable and scalable network slices that cater to specific use-cases, allowing for the sharing of computational resources across devices and network nodes, and integrating edge cloud computing to enhance user experience and resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If network slicing is implemented to support diverse applications and services, then adaptability and versatility improve, but device complexity and network complexity increase
Solution Approach 1:
The network is divided into multiple logical slices (network slices) that can be independently configured and managed. Each slice is tailored to support specific applications or services with distinct requirements, enabling diverse functionality while maintaining manageable complexity through modular organization
Solution Approach 2:
A single physical network infrastructure is designed to support multiple network slices simultaneously, each serving different applications or services. This multi-functional approach allows the same hardware resources to be shared across diverse use cases through logical partitioning, reducing overall system complexity while maintaining versatility
2Productivity
If computational resources are shared across devices and network nodes, then resource utilization efficiency improves, but reliability and security of individual device performance may deteriorate
Solution Approach 1:
Computational resources are segmented into dedicated allocations for each network slice and individual devices within slices. This segmentation ensures that shared resources are partitioned in a way that guarantees minimum performance levels for each device while allowing efficient utilization of remaining capacity across the network
Solution Approach 2:
The system implements differentiated resource allocation where each device receives customized computational resources tailored to its specific requirements and service level agreements. This local optimization ensures that individual device performance is maintained while enabling overall network efficiency through selective sharing of excess resources
Data Source
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AI summary
Embodiments provide a device for use in a first wireless network device operating within a wireless network, the device comprising radio frequency (RF) circuitry to receive at least one communication originating from a second wireless network device or transmit at least one communication to the second wireless network device, and circuitry to provide a data container including at least a portion of executable code of use to the first device, transmit the data container together with other data to be transmitted from the first device to the second device, receive a processed version of the data container from the second device, said processed version containing an executed form of the executable code of use to the first device, and use the executed form of the executable code in the first device. Embodiments also provide other devices, such as a host or client, and methods performed by a host or client.