3 research outputs found
Optimal Resource Allocation with Delay Guarantees for Network Slicing in Disaggregated RAN
In this article, we propose a novel formulation for the resource allocation
problem of a sliced and disaggregated Radio Access Network (RAN) and its
transport network. Our proposal assures an end-to-end delay bound for the
Ultra-Reliable and Low-Latency Communication (URLLC) use case while jointly
considering the number of admitted users, the transmission rate allocation per
slice, the functional split of RAN nodes and the routing paths in the transport
network. We use deterministic network calculus theory to calculate delay along
the transport network connecting disaggregated RANs deploying network functions
at the Radio Unit (RU), Distributed Unit (DU), and Central Unit (CU) nodes. The
maximum end-to-end delay is a constraint in the optimization-based formulation
that aims to maximize Mobile Network Operator (MNO) profit, considering a cash
flow analysis to model revenue and operational costs using data from one of the
world's leading MNOs. The optimization model leverages a Flexible Functional
Split (FFS) approach to provide a new degree of freedom to the resource
allocation strategy. Simulation results reveal that, due to its non-linear
nature, there is no trivial solution to the proposed optimization problem
formulation. Our proposal guarantees a maximum delay for URLLC services while
satisfying minimal bandwidth requirements for enhanced Mobile BroadBand (eMBB)
services and maximizing the MNO's profit.Comment: 21 pages, 10 figures. For the associated GitHub repository, see
https://github.com/LABORA-INF-UFG/paper-FGKCJ-202
From Smart Parking Towards Autonomous Valet Parking: A Survey, Challenges and Future Works
Recently, we see an increasing number of vehicles coming into our lives, which makes finding car parks a difficult task. To overcome this challenge, efficient and advanced parking techniques are required, such as finding the proper parking slot, increasing users’ experience, dynamic path planning and congestion avoidance. To this end, this survey provides a detailed overview starting from Smart Parking (SP) towards the emerging Autonomous Valet Parking (AVP) techniques. Specially, the SP includes digitally enhanced parking, smart routing, high density parking and vacant slot detection solutions. Moreover, the AVP involves Short-range Autonomous Valet Parking (SAVP) and Long-range Autonomous Valet Parking (LAVP). Finally, open issues and future work are provided
Network slicing for vehicular communication
Abstract
Ultra‐reliable vehicle‐to‐everything (V2X) communication is essential for enabling the next generation of intelligent vehicles. V2X communication is a growing area of communication that connects vehicles to neighboring vehicles (V2V), infrastructure (V2I), and pedestrians (V2P). Network slicing is one of the promising technologies for connectivity of the next generation devices, creating several logical networks on a common and programmable physical infrastructure. Network slicing offers an efficient way to satisfy the diverse use case requirements by exploiting the benefits of shared physical infrastructure. In this regard, we propose a network slicing‐based communication solution for vehicular networks. In this work, we model a highway scenario with vehicles having heterogeneous traffic demands. The autonomous driving slice (safety messages) and the infotainment slice (video stream) are the two logical slices created on a common infrastructure. We formulated a network clustering and slicing algorithm to partition the vehicles into different clusters and allocate slice leaders (SLs) to each cluster. SLs serve its clustered vehicles with high‐quality V2V links and forwards safety information with low latency. On the other hand, road side unit provides infotainment service using high‐quality V2I links. An extensive Long Term Evolution Advanced system‐level simulator with enhancement of cellular V2X standard is used to evaluate the performance of the proposed method, in which it is shown that the proposed network slicing technique achieves low latency and high‐reliability communication