Aalborg Universitet
Real-World Analysis of a Network Deployment in Office Scenario with a Software
Defined Radio Testbed
Tonelli, Oscar; Rodriguez Larrad, Ignacio; Berardinelli, Gilberto; Buthler, Jakob Lindbjerg;
Tavares, Fernando Menezes Leitão; Cattoni, Andrea Fabio; Sørensen, Troels Bundgaard;
Mogensen, Preben Elgaard
Publication date:
2013
Document Version
Accepted author manuscript, peer reviewed version
Link to publication from Aalborg University
Citation for published version (APA):
Tonelli, O., Rodriguez Larrad, I., Berardinelli, G., Buthler, J. L., Tavares, F. M. L., Cattoni, A. F., ... Mogensen, P.
(2013). Real-World Analysis of a Network Deployment in Office Scenario with a Software Defined Radio
Testbed. Abstract from The 4th Workshop of COST Action IC0902, Rome, Italy.
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The 4th Workshop of COST Action IC0902
Cognitive Radio and Networking for Cooperative
Coexistence of Heterogeneous Wireless Networks
October 9–11, 2013
Rome, Italy
AUTHORS CONSENT TO INCLUDE THIS CONTRIBUTION IN THE OPEN ACCESS
ONLINE REPOSITORY OF IC0902:
NAME OF AUTHOR GIVING CONSENT:
Oscar Tonelli
“Contribution to Working Group 4, Definition of mechanisms for
intersystem coexistence and cooperation”
Real-world analysis of a network deployment in office scenario with
a Software Defined Radio testbed
Oscar Tonelli, Ignacio Rodriguez Larrad, Gilberto Berardinelli,
Jakob, L. Buthler, Fernando M.L. Tavares, Andrea F. Cattoni, Troels
B. Sørensen and Preben Mogensen – Aalborg University – Denmark
Oscar Tonelli – Aalborg University
The deployment of small cells in local-area scenarios is a key feature for improving channel
capacity in next-generation wireless communication networks. Indoor residential and office
scenarios constitute fundamental study-cases for the validation of beyond-4G systems enabling, for
example, autonomous interference coordination and dynamic spectrum allocation. System-level
performance studies are typically carried out by means of Monte-Carlo simulations. Standardization
bodies, such as the 3GPP, identified reference building configurations and propagation models for
comparable analysis of algorithms and solutions [1]. The employed propagation models are
typically stochastic and the deployment scenarios are characterized by extremely regular and
symmetric shaping. The extremely complex propagation characteristics of indoor environments
however, suggests that testbed-based experimental experiences and on-site measurements
campaigns should be complementary to simulation-based studies in the validation of novel
communication techniques. The deployment of nodes in local-area environments (e.g. in residential
areas) often does not allow a prior planning network frequency reuse, thus generating severe
interference conditions for users in the cells. Distributed algorithms for dynamic spectrum
management aim at mitigating such problem, enabling the access points to autonomously select the
transmission frequency resources and avoid harmful interferers. The network-level performance
evaluation of such algorithms is, however, difficult to evaluate because specific deployment and
propagation characteristics greatly impact the inter-cell interference levels and thus the achievable
channel capacity. In simulations large amount of network layouts are typically considered in order
to statistically validate the network performance. In a real-world context, the previous approach is
clearly unfeasible due to the difficulties in managing a large experimental network.
In this work a Software Defined Radio testbed has been designed, enabling the extensive analysis of
the propagation characteristics of an indoor scenario and providing a large amount of on-field
measurements about pathloss characteristics of a network deployment in the considered area. 14
testbed nodes, equipped with USRP boards and running the ASGARD software platform [2], have
been mounted on movable trolleys and placed in several measuring positions which homogeneously
cover the space of the first floor of an office building at the Aalborg University campus. The testbed
COST Action IC0902 – WG4-2013-Doc_25
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Figure 1 – Measured positions across the office premises at Aalborg University
setup allowed to measure the pathloss across 45 positions, thus providing information about 990
different radio links. In Figure 1 the location of the measured positions is given. Pathloss
measurements have been performed in static environment conditions during night hours. 19 redeployments of the testbed have been necessary to cover all possible link combinations. In order to
remove the effect of multipath fading, every single pathloss value has been obtained by averaging
across multiple measurements in frequency (from 4.91 to 5.89 GHz with a step of 20 MHz).
The obtained pathloss information has then been utilized for the analysis of the characteristics of a
large network deployment. In Figure 2.a is shown the pathloss distribution of a network over 100
deployments. Each deployment assumes one access point and one user equipment to be present in
each room. Measurement results are compared to the values obtained with a WINNER II pathloss
model in the same deployment conditions. On-field pathloss measurements can be used to validate
ENB-to-ENB PL CDF, over 100 deployments
Cell Downlink Throughput
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Measurements
3GPP PL Model
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Average UE DL T-put [Mbps]
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Figure 2 – Scenario pathloss analysis and downlink throughput results of the ACCS algorithm
the performance of a distributed network algorithm in realistic deployment conditions. In figure 2.b,
downlink throughput results are provided for a network running the Autonomous Component
Carrier Selection (ACCS) algorithm [3] for interference coordination purposes.
[1] Alcatel Lucent, "R4-091422, Simulation assumptions and parameters for FDD HeNB RF requirements," 3GPP,
Seoul, Korea, 2009.
[2] L. G. U. Garcia, I. Z. Kovács, K. I. Pedersen, G. W. O. Costa and P. E. Mogensen, "Autonomous Component
Carrier Selection for 4G Femtocells - A Fresh Look at an Old Problem," IEEE Journal on Selected Areas in
Communications, vol. 30, no. 3, pp. 525-537, April 2012.
[3] The ASGARD software radio, http://asgard.lab.es.aau.dk, 2013.
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