Dynamic Preamble Subset Allocation for RAN Slicing in 5G Networks

Vural, Serdar; Wang, Ning; Bucknell, Paul; Foster, G.; Tafazolli, Rahim; Muller, Julien

doi:10.1109/access.2018.2800661

Cited by 22 publications

(8 citation statements)

References 34 publications

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“…Conventional LTE networks employ random access (RA) to connect services and users due to the limited set of preambles. This is one of the major cases for system complexity when supporting large numbers of users and is also more vulnerable to congestion [16]. Therefore, 5G uses the NFV/SDN features to utilize network resources across different segments to reduce operational costs; see Figure 1.1.…”

Section: G Network Slicingmentioning

confidence: 99%

Ultra-dense Networks

2020

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Understand the theoretical principles, key technologies and applications of UDNs with this authoritative survey. Theory is explained in a clear, step-by-step manner, and recent advances and open research challenges in UDN physical layer design, resource allocation and network management are described, with examples, in the context of B5G and 6G standardization. Topics covered include NOMA-based physical layer design, physical layer security. Interference management, 3D base station deployment, software defined UDNs, wireless edge caching in UDNs, UDN-based UAVs and field trials and tests. A perfect resource for graduate students, researchers and professionals who need to get up to speed on the state of the art and future opportunities in UDNs.

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Section: G Network Slicingmentioning

confidence: 99%

Ultra-dense Networks

2020

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“…In practice, network slicing can be applied both on physical resources, i.e. radio/infrastructure resources [9], and on virtualized resource blocks, i.e. computational capacity [10].…”

Section: System Model a Space Of Resource Feasibilitymentioning

confidence: 99%

Slice as an Evolutionary Service: Genetic Optimization for Inter-Slice Resource Management in 5G Networks

2018

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In the context of Fifth Generation (5G) mobile networks, the concept of "Slice as a Service" (SlaaS) promotes mobile network operators to flexibly share infrastructures with mobile service providers and stakeholders. However, it also challenges with an emerging demand for efficient online algorithms to optimize the request-and-decision-based inter-slice resource management strategy. Based on genetic algorithms, this paper presents a novel online optimizer that efficiently approaches towards the ideal slicing strategy with maximized long-term network utility. The proposed method encodes slicing strategies into binary sequences to cope with the request-and-decision mechanism. It requires no a priori knowledge about the traffic/utility models, and therefore supports heterogeneous slices, while providing solid effectiveness, good robustness against non-stationary service scenarios, and high scalability.INDEX TERMS 5G mobile communication, business model, communication system operations and management, genetic algorithms, network slicing, optimal scheduling, optimization, resource management

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“…Thus, devices with different preambles can be discerned at the access point. However, as the number of devices increases, the number of collision increases, so the transmission delay will become prohibitive [4]- [6]. Thus, we need more efficient random access protocols when there are a large number of random access devices.…”

Section: Introductionmentioning

confidence: 99%

Random Beam-Based Random Access for Low-Latency Device-to-Device Communication Systems

2020

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In this paper, we consider a device-to-device communication system, where a multi-antenna mobile user directly communicates with nearby multiple devices, and propose a low-latency random access protocol utilizing random beams at the user. In our system model, each device tries to access the user with randomly selected one among multiple orthogonal (near-orthogonal) preambles, so the devices with different preambles can be discerned at the user. Meanwhile, the mobile user has multiple antennas and tries to fully utilize multiplexing gains. In our proposed protocol, the user adopts the orthogonal random beams both for reception and transmission regardless of channel conditions. Thus, in some cases, the multiple devices with the same preamble can be decoded at the user. Moreover, the user of random beamforming can reduce the computational complexity and time delay for beamforming. We analyze the access probability with our proposed random access protocol and find each device's one-shot access probability with the approximated one. Our simulation results show that our proposed protocol increases the random access probability compared to the conventional protocol that does not utilize the multiplexing gains, and our analysis well matches in various scenarios.INDEX TERMS Device-to-device (D2D) communications, long-term evolution (LTE), new radio (NR), random access, random beamforming.

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Dynamic Preamble Subset Allocation for RAN Slicing in 5G Networks

Cited by 22 publications

References 34 publications

Ultra-dense Networks

Ultra-dense Networks

Slice as an Evolutionary Service: Genetic Optimization for Inter-Slice Resource Management in 5G Networks

Random Beam-Based Random Access for Low-Latency Device-to-Device Communication Systems

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