Coordinated Spectrum Allocation and Coexistence Management in CBRS-SAS Wireless Networks

Kułacz, Łukasz; Kryszkiewicz, Paweł; Kliks, Adrian; Bogucka, Hanna; Ojaniemi, Jaakko; Paavola, Jarkko; Kalliovaara, Juha; Kokkinen, Heikki

doi:10.1109/access.2019.2940448

Cited by 17 publications

(7 citation statements)

References 28 publications

(43 reference statements)

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“…However, unsupervised spectrum sharing can lead to interference between coexisting systems and potentially significant degradation of Quality of Service (QoS), which is unacceptable for providing commercial services. Therefore, complex spectrum access policies have been designed to allow for coexistence with guaranteed QoS (e.g., CBRS with SAS in the 3.6 GHz band or Licensed Shared Access in the 2.3 GHz band [38], [39]).…”

Section: Using Dynamic Spectrum Access For Rural Broadband Connectivitymentioning

confidence: 99%

A Systems Approach for Solving Inter-Policy Gaps in Dynamic Spectrum Access-Based Wireless Rural Broadband Networks

et al. 2022

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In this paper, we articulate the challenge of multiple intersecting policies for the realization of rural broadband networks employing dynamic spectrum access (DSA). Broadband connectivity has been identified as a critical component of economic development, especially during the COVID-19 pandemic, and rural communities have been significantly (and negatively) affected by the lack of this important resource. Although technologies exist that can deliver broadband connectivity, such as 4G LTE and 5G cellular networks, the challenges associated with efficiently deploying this infrastructure within a rural environment are multi-dimensional in terms of the different dependent policy decisions that need to be considered. To resolve this issue, we describe how systems engineering tools can be used for representing these intersecting policies such that system configurations can be optimized for efficient infrastructure deployment and operations. One technology requiring increased attention is DSA, where licensed and emerging wireless services can coexist together via spectrum sharing. However, implementation of this technology is challenging, where highly efficient Radio Access Technology (RAT), available spectrum, and user requirements need to be precisely aligned. All these elements to be configured are typically described by independent policies. While DSA is more complicated than previously used spectrum allocation schemes, inter-policy gaps occur that ultimately decrease the network's efficiency. Consequently, a systems engineering framework has the potential to obtain the optimal solutions although the systems and wireless communities conceptualize and scope problems differently, which can impede collaboration. We present the use case where 4G LTE RAT technology employing DSA applied to digital terrestrial television (DTT) frequency bands can yield spectral efficiency loss when the different policy dimensions are not sufficiently accounted for within the use case. Computer simulations have shown that in an example rural scenario the availability of rural broadband can increase from 1% to 21% of locations if the inter-policy gaps are removed.

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Section: Using Dynamic Spectrum Access For Rural Broadband Connectivitymentioning

confidence: 99%

A Systems Approach for Solving Inter-Policy Gaps in Dynamic Spectrum Access-Based Wireless Rural Broadband Networks

et al. 2022

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“…CBRS utilizes spectrum access system (SAS), a combination of controlling intentions and a database for the purpose of interference coordination [158] to control the spectrum access for both PAL and GAA UEs. Simultaneously, incumbent systems are protected by Citizens Broadband Radio Service Device (CBSD).…”

Section: Cbrs and Lsa Based Unlicensed Cellular Network Performance Improvementsmentioning

confidence: 99%

Applications of Intelligent Radio Technologies in Unlicensed Cellular Networks - A Survey

Huang¹,

Chen²

2021

KSII TIIS

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Demands for high-speed wireless data services grow rapidly. It is a big challenge to increasing the network capacity operating on licensed spectrum resources. Unlicensed spectrum cellular networks have been proposed as a solution in response to severe spectrum shortage. Licensed Assisted Access (LAA) was standardized by 3GPP, aiming to deliver data services through unlicensed 5 GHz spectrum. Furthermore, the 3GPP proposed 5G New Radio-Unlicensed (NR-U) study item. On the other hand, artificial intelligence (AI) has attracted enormous attention to implement 5G and beyond systems, which is known as Intelligent Radio (IR). To tackle the challenges of unlicensed spectrum networks in 4G/5G/B5G systems, a lot of works have been done, focusing on using Machine Learning (ML) to support resource allocation in LTE-LAA/NR-U and Wi-Fi coexistence environments. Generally speaking, ML techniques are used in IR based on statistical models established for solving specific optimization problems. In this paper, we aim to conduct a comprehensive survey on the recent research efforts related to unlicensed cellular networks and IR technologies, which work jointly to implement 5G and beyond wireless networks. Furthermore, we introduce a positioning assisted LTE-LAA system based on the difference in received signal strength (DRSS) to allocate resources among UEs. We will also discuss some open issues and challenges for future research on the IR applications in unlicensed cellular networks.

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“…An implementation of coordinated spectrum allocation and coexistence management for GAA users in CBRS networks was proposed in [8]. Graph theory was used to represent interference relationships and channel assignment in space and frequency.…”

Section: Related Workmentioning

confidence: 99%

Hypergraph-Based Model for Coexistence Management of Heterogeneous Wireless Networks

Nyasulu

Crawford

2021

2021 Wireless Days (WD)

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performance degradation as a result of interference among the secondary user networks when the amount of available channels is not enough to allow exclusive channel operation for each network. The coexistence challenge among secondary user networks is exacerbated by the presence of heterogeneous radio access technologies (RATs) and lack of coordinated radio resource allocation among the secondary users themselves. The gains in spectrum utilisation as a result of DSA policy can potentially be diminished by the impact of interference.Spectrum utilisation can be improved by spatial reuse of channels. However, licence-exempt spectrum is likely not to be enough for exclusive channel operation, especially in urban areas. Hence, spectrum utilisation may be further improved through co-sharing among neighbour networks that can effectively coordinate access to a shared channel, as long as the total channel occupancy rate (COR) is less than unity to prevent spectrum starvation [1]. This paper therefore focuses on the design of a radio resource allocation framework for maximising spectrum utilisation through spectrum sharing, while ensuring coexistence among heterogeneous secondary user networks.In this paper, heterogeneous networks refers to networks that use different RATs. Such networks may not effectively coordinate access to a shared spectrum due to incompatible wireless protocols. The IEEE 802.19.1 standard specifies high level, network-based coexistence methods for geo-locationcapable devices operating under general authorization access (GAA) or licence-exemption. However, actual implementation of modelling techniques and radio resource allocation algorithms of the coexistence system is left to the industry [2].A hypergraph is a generalization of an undirected graph in which a hyperedge is a subset of vertices of arbitrary cardinality [3]. A radio frequency (RF) environment can be represented by a hypergraph, whereby radio devices or networks are represented by vertices and properties of different subsets are represented by hyperedges. Use of hypergraphs for modelling of cumulative interference and network dependency properties in radio resource allocation schemes has been proposed in literature [4]-[7].This paper proposes application of hypergraph theory in modelling of spectral coexistence capabilities of radios in a heterogeneous RF environment in order to implement a co-Abstract-Traditional graph theory is typically used to model interference relations among networks to realise channel assignment that enables improvement in spectrum utilisation through spatial re-use of the channels. Studies have shown that spectrum utilisation could be further improved through co-sharing among networks that are capable of spectral coexistence as long as the channel load is not excessive. The co-sharing networks use their inherent media access control (MAC) techniques to coordinate access to a shared channel. However, the concept of an edge in a traditional graph, which is a two-element subset, is not sufficient to model subsets o...

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Coordinated Spectrum Allocation and Coexistence Management in CBRS-SAS Wireless Networks

Cited by 17 publications

References 28 publications

A Systems Approach for Solving Inter-Policy Gaps in Dynamic Spectrum Access-Based Wireless Rural Broadband Networks

A Systems Approach for Solving Inter-Policy Gaps in Dynamic Spectrum Access-Based Wireless Rural Broadband Networks

Applications of Intelligent Radio Technologies in Unlicensed Cellular Networks - A Survey

Hypergraph-Based Model for Coexistence Management of Heterogeneous Wireless Networks

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