{"id":140,"date":"2021-02-04T12:31:31","date_gmt":"2021-02-04T12:31:31","guid":{"rendered":"http:\/\/softwarewng.networks.imdea.org\/?page_id=140"},"modified":"2026-03-25T10:41:39","modified_gmt":"2026-03-25T10:41:39","slug":"home","status":"publish","type":"page","link":"http:\/\/softwarewng.networks.imdea.org\/es\/","title":{"rendered":"Home"},"content":{"rendered":"
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Software WNG<\/h1>\n<\/div>\n<\/div><\/div><\/div><\/div>
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Carrier Phase Stability Measurement<\/a><\/h3>\n

As we approach higher and higher localization and sensing accuracies with 6G technologies, the radiocapabilities and signal processing will cease to be the main accuracy limitations, and other physicalphenomena start to play an increasingly critical role. In this paper, we investigate how radio-based physicalmeasurements, including radar, wireless localization and Integrated Sensing and Communication (ISAC),can be affected by environmental conditions, and at what level of accuracy and dimensional and temporalscales these effects become significant.<\/p>\n<\/div>\n<\/div><\/div><\/div><\/div>

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MultiBand Carrier Phase Localization<\/a><\/h3>\n

Localization is a key feature of future Sixth Generation (6G) networks with foreseen accuracy requirements down to the millimeter level, to enable novel applications in the fields of telesurgery, high-precision manufacturing, and others. Currently, such accuracy requirements are only achievable with specialized or highly resource-demanding systems,\u00a0rendering\u00a0them impractical for more\u00a0wide-spread\u00a0deployment. In this paper, we present the first system that enables low-complexity and low-bandwidth absolute 3D localization with millimeter-level accuracy in generic wireless networks. It performs a carrier phase-based wireless localization refinement of\u00a0an initial\u00a0location estimate based on successive location-likelihood optimization across multiple bands.<\/span><\/p>\n<\/div>\n<\/div><\/div><\/div><\/div>

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MIMORPH<\/a><\/h3>\n

A highly configurable wireless plat<\/span>form that meets such requirements and is both affordable and scal<\/span>able. It is implemented on a single state-of-the-art FPGA board that <\/span>can be configured from 4x4<\/span>mm-wave<\/span>MIMO with 2 GHz channels <\/span>to 8x8 MIMO with 160 MHz channels in sub-6 GHz bands. O<\/span>ur platform supports mixed configurations<\/span>with simultaneous use of <\/span>mm-wave <\/span>and sub-6 GHz. Finally, the <\/span>platform supports real-time operation, e.g., for closed-loop MIMO<\/span>beam training with low-latency, by implementing suitable hard-<\/span>ware\/software accelerator<\/span><\/p>\n<\/div>\n<\/div><\/div><\/div><\/div>

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mm-FLEX<\/strong><\/a><\/h3>\n

Millimeter wave (mm-wave) technology is increasingly being considered for mobile devices and use cases such as vehicular communication. This requires suitable experimentation platforms to support systems-oriented research to tackle the multitude of problems and challenges of (mm-wave) communications in such environments. To this end, we introduce a\u00a0Millimeter Wave\u00a0Mobile\u00a0FulL-Band-width\u00a0EXperimentation Platform\u00a0(mm-FLEX).<\/p>\n<\/div>\n<\/div><\/div><\/div><\/div>

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MISO: Millimetter Wave SDR-Based Open Experimentation Platform<\/strong><\/a><\/h3>\n

MISO Project propose a mixed hardware-software design for millimeter wave (mm-wave) experimentation on software-de\ufb01ned radios (SDR). Speci\ufb01cally, the basic blocks required to process the preamble of 802.11ad compliant single carrier frames have been designed allowing mm-wave experimentation with USRP boards at a scaled-down bandwidth, compared to the one de\ufb01ned in the standard (1.76GSPS). The preamble processing blocks have been integrated in the GNU-Radio + RFNoC framework.<\/p>\n

This compressed file includes an user manual with the description of the signal processing blocks developed for MISO project implemented using RFNoC framework. Besides, a folder containing the RFNoC source files, FPGA Image with all the implemented blocks, Example of GNURadio source files containing IEEE 802.11ad compliant single carrier frames with different MCS, and Vivado HLS source files for the corresponding blocks are also included.<\/p>\n<\/div>\n<\/div><\/div><\/div><\/div>

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openLEON: an open source muLti-access Edge cOmputiNg emulator<\/strong><\/a><\/h3>\n

openLEON\u00a0is an open source muLti-access Edge cOmputiNg end-to-end emulator that operates from the edge data center to the mobile users.\u00a0openLEON\u00a0bridges the functionalities of existing emulators for data centers and mobile networks, i.e., Mininet and srsLTE, and makes it possible to evaluate and validate research ideas on all the components of an end-to-end mobile edge architecture.<\/p>\n<\/div>\n<\/div><\/div><\/div><\/div>

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Adaptive Codebook Optimization<\/strong><\/a><\/h3>\n

Python implementation of the ACO method described in our paper titled \u201cAdaptive Codebook Optimization for Beam Training on Off-the-Shelf IEEE 802.11ad Devices\u201d.<\/p>\n

This code allows for the implementation of our method and reproduction of the experiments run for this paper.<\/p>\n

Demo:\u00a0https:\/\/joanguitar.github.io\/ACO\/<\/a>\u00a0(WIP)<\/p>\n

Repository:\u00a0https:\/\/github.com\/Joanguitar\/ACO<\/a><\/p>\n<\/div>\n<\/div><\/div><\/div><\/div>

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Cloudmap Project<\/strong><\/a><\/h3>\n

Our active measurement dataset, the code for the measurement experiments and the CSP mapping tool are publicly available.<\/p>\n<\/div>\n<\/div><\/div><\/div><\/div>

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60 GHz Networking Trace Dataset<\/strong><\/a><\/h3>\n

This dataset contains a large number of traces obtained from commercial off-the-shelf 60 GHz devices operating in an indoor environment. Among others, it includes beampattern measurements of electronically steerable phased antenna arrays and extensive coverage measurements. Researchers in the 60 GHz networking community can use our dataset to take into account practical hardware impairments into account. This enables realistic and comparable evaluations of 60 GHz mechanisms<\/p>\n<\/div>\n<\/div><\/div><\/div><\/div>

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\u201cmm-Wave Hybrid Analog-Digital Beamforming with Low-Complexity Transceivers\u201d<\/strong><\/a><\/h3>\n

These Matlab scripts implement mm-wave hybrid analog-digital beamforming using the greedy geometric algorithm presented in our paper titled \u201cSpeeding Up mmWave Beam Training through Low-Complexity Hybrid Transceivers\u201d, by Joan Palacios, Danilo De Donno, Domenico Giustiniano, and Joerg Widmer, which was recognized with the Best Student Paper Award at the 27th Annual IEEE International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC 2016). The beam patterns (precoders) synthesized using the proposed algorithm are compared against a hybrid beamforming design in the literature based on Orthogonal Matching Pursuit (OMP).<\/p>\n<\/div>\n<\/div><\/div><\/div><\/div>

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OWL: a Reliable Online Watcher for LTE Control Channel Measurements<\/strong><\/a><\/h3>\n

OWL is a software decoder of LTE control channel. It gives access to the main information carried in LTE Dowlink Control Information (DCI) and, in particular, to the modulation and coding scheme (MCS), the assigned resource block number and the transport block size. The software needs a software defined radio to smaple the LTE signal. We successfully tested OWL on different networks (Telefonica, Vodafone, Yoigo and Orange) in Spain and with different radios (Nuand BladeRF and Ettus USRP).<\/p>\n

More information can be found\u00a0in our paper [1] and in\u00a0the software\u00a0repository<\/a><\/strong>:<\/p>\n

[1]\u00a0Bui, Nicola\u00a0and\u00a0Widmer, Joerg\u00a0(2016)\u00a0OWL: a Reliable Online Watcher for LTE Control Channel Measurements<\/a>.\u00a0In: The 6th Workshop on All Things Cellular: Operations, Applications, and Challenges, in conjunction with the 22nd Annual International Conference on Mobile Computing and Networking (ACM MobiCom 2016), 3-7 October 2016, New York, USA<\/p>\n

<\/h3>\n<\/div>\n<\/div><\/div><\/div><\/div>
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Lightweight and Effective Sector Beam Pattern Synthesis with Uniform Linear Antenna Arrays:<\/strong><\/a><\/h3>\n

This Matlab script implements a lightweight, yet effective technique to synthesize sector beam patterns for uniform linear arrays (ULAs). The technique is based on a compact expression to compute the optimal array weights as a function only of the desired beamwidth and steering direction.<\/p>\n

Demo:\u00a0https:\/\/joanguitar.github.io\/beam-patterns\/<\/a><\/p>\n

Repository:\u00a0https:\/\/github.com\/Joanguitar\/beam-patterns<\/a><\/p>\n

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WLAN IEEE 802.11ad model for ns-3:<\/strong><\/a><\/h3>\n

We present a model for IEEE 802.11ad implemented in the network simulator ns-3. We model new techniques that are essential for IEEE 802.11ad operation such as beamforming training and steering, relay support, and fast session transfer.<\/p>\n

<\/h3>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"Software WNG Carrier Phase Stability Measurement As we approach higher and higher localization and sensing accuracies with 6G technologies, the radiocapabilities and signal processing will cease to be the main accuracy limitations, and other physicalphenomena start to play an increasingly critical role. In this paper, we investigate how radio-based physicalmeasurements, including radar, wireless localization and…","protected":false},"author":127,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"templates\/home.php","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-140","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"http:\/\/softwarewng.networks.imdea.org\/es\/wp-json\/wp\/v2\/pages\/140","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/softwarewng.networks.imdea.org\/es\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/softwarewng.networks.imdea.org\/es\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/softwarewng.networks.imdea.org\/es\/wp-json\/wp\/v2\/users\/127"}],"replies":[{"embeddable":true,"href":"http:\/\/softwarewng.networks.imdea.org\/es\/wp-json\/wp\/v2\/comments?post=140"}],"version-history":[{"count":35,"href":"http:\/\/softwarewng.networks.imdea.org\/es\/wp-json\/wp\/v2\/pages\/140\/revisions"}],"predecessor-version":[{"id":299,"href":"http:\/\/softwarewng.networks.imdea.org\/es\/wp-json\/wp\/v2\/pages\/140\/revisions\/299"}],"wp:attachment":[{"href":"http:\/\/softwarewng.networks.imdea.org\/es\/wp-json\/wp\/v2\/media?parent=140"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}