Dynamic LSA for 5G Networks The ADEL and TCD perspective

Nicola Marchetti

Maynooth University

March 18, 2015

Licensed Shared Access (LSA)

• Complementary way of authorizing and accessing the spectrum, in addition to licensed (exclusive) and license-exempt (unlicensed)

• Enables the sharing of spectrum between limited number of licensed users according to regulated set of clear, effective rules – in frequency bands where spectrum resources underutilized in time, space and/or frequency

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Advanced Dynamic spectrum 5G mobile

networks Employing Licensed shared access

Key Idea To explore the potential of Licensed Shared Access (LSA) as a key

enabler of 5G mobile broadband networks

By developing:

1) Collaborative sensing techniques

2) Dynamic radio-aware resource allocation

3) Cooperative communication

With the final goal of providing:

– An order of magnitude improvement in spectral efficiency

– More energy & cost efficient mobile broadband networks

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€2.57M

Dec 2013 – Nov 2016

Our Proposed Extensions of LSA

• Dynamic sharing

– Both incumbents and licensees may change spectrum usage over time

• Cognitive Radio capabilities

– DB-assisted sensing

– Collaborative spectrum sensing

– Improve RRM accuracy & enhance system dinamicity

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Our Proposed Extensions of LSA

• Other licensees than MNOs

– Virtual operators, small scale operators

• Unlicensed users

– In case small cells to be turned off, sense for unlicensed spectrum to accommodate WiFi-capable users

• Other bands than 2.3-2.4 GHz

– 3.5 GHz

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Our Proposed Extensions of LSA

• Many incumbents and many licensees

– In 2.3 GHz incumbents offering similar services and applications

• Different ways to assign LSA licenses

– Rule-based

– Auctions held at specific times

– Dynamic-spot auctions

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ADEL Functional Architecture

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ADEL Functional Architecture

• Repository

– Carrier frequency & bandwidth

– Location and coverage area

– TX’s HW characteristics

• Radio Coverage Map

– Propagation calculations (DB & licensees)

– Sensing

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ADEL Functional Architecture

• Spectrum Usage Rules

– Band

– Incumbent/licensee radio service

– # incumbents/licensees

– Priority rules

• Controller

– Request manager (licensee authentication & priority management)

– RRM

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ADEL Functional Architecture

• Spectrum sensing reasoning

– Define sensing network requirements

– Detect faulty measurements

– Compute sensing map

– Update map

– Determine which map zones need additional sensing

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ADEL Reference Scenarios

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Small Cell Use Case

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Attribute Value

Incumbent PMSE video, FWA/BWA

Licensees M(V)NOs

End Users Mobile subscribers

Service Mobile broadband

Service Area Dense urban

Spectrum 2.3-2.4GHz, 3.5-3.6GHz

Sensing Network MNO base stations, UEs

Small Cell Use Case

• Dynamic Web

– Outdoor in busy city centre

– Lot of users in shopping area

– Uninterrupted service to users walking in the cells or passing by

– Web browsing and multimedia streaming

• Cloud Surfing

– Cloud RAN Massively Distributed MIMO

– Serving a lot of traffic in a specific area: campus, hospital, enterprise, convention centre

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Cloud RAN

• Decoupling of the BBU (Baseband Unit) from the RRH (Remote Radio Heads)

• Radio modules are distributed to locations where coverage or capacity is required, while BBU processing is centralized in in one location

• This centralization facilitates the adoption of massive distributed MIMO (MD-MIMO)

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LSA & MD-MIMO

• LSA is a novel spectrum sharing approach to a pool of virtual spectrum resources

• Cloud-RAN provides the way of managing a pool of virtual network resources

• Resources available in a Cloud-based RAN (antennas) and LSA (spectrum) are ideally unconstrained but there is a cost associated with their utilization

• Resource allocation needs to take into account the (unconstrained) pool of resources and their utilization cost

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Cloud RAN for LSA

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Cloud RAN for LSA

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Cloud RAN for LSA

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Optimal Bandwidth

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Optimal Number of Antennas

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Cost Efficiency Optimal solution allows to

transmit up to an order

of magnitude

more information for the same

cost

Some Lessons

• Service provider can balance the trade-off between increasing the number of antennas in use or increasing the bandwidth to accommodate users

• When the incumbent requires the spectrum for its own use, in principle the service provider can overcome the shortage of spectrum by using more antennas

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Results on Many-to-Many Scenario

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Results show that dynamic C-RAN system (variable no. of

antennas) makes better use of available resources,

especially when required minimum rate is higher (for each

operator) in many-to-many scenario

Acknowledgements

• Trinity College Dublin’s team

– Elma Avdic, Laura Ingolotti, Ismael Gomez, Irene Macaluso, Hamed Ahmadi, Linda Doyle

• CTVR / CONNECT - Centre for Future Networks and Communications

• The project ADEL acknowledges the financial support of the Seventh Framework Programme for Research of the European Commission under grant number: 619647

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Related Publications

• I. Gomez-Miguelez, E. Avdic, N. Marchetti, I. Macaluso, L. Doyle, “Cloud-RAN platform for LSA in 5G networks - tradeoff within the infrastructure,” International Symposium on Communications, Control, and Signal Processing (ISCCSP), May 2014

• E. Avdic, H. Ahmadi, I. Gomez-Miguelez, L. Ingolotti, I. Macaluso, N. Marchetti, L. Doyle, “LSA, C-RAN and Virtualization: A (5G) Romance of Many Dimensions”, IEEE Communications Magazine (submitted)

• A. Morgado, A. Gomes, E. Avdic, N. Marchetti et al., “Dynamic LSA for 5G networks - The ADEL perspective”, European Conference on Networks and Communications (EuCNC), June/July 2015 (submitted)

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