{"id":830539,"date":"2022-03-29T09:49:43","date_gmt":"2022-03-29T16:49:43","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=830539"},"modified":"2024-07-23T12:56:09","modified_gmt":"2024-07-23T19:56:09","slug":"whisper-iot-in-the-tv-white-space-spectrum","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/whisper-iot-in-the-tv-white-space-spectrum\/","title":{"rendered":"Whisper: IoT in the TV White Space Spectrum"},"content":{"rendered":"

The deployment of Internet of Things (IoT) networks has rapidly increased over recent years — to connect homes, cities, farms, and many other industries. Today, these networks rely on connectivity solutions, such as LoRaWAN, operating in the ISM bands. Our experience from deployments in multiple countries has shown that such networks are bottlenecked by range and bandwidth. Therefore, we propose a new connectivity solution operating in TV White Space (TVWS) spectrum, where narrowband devices configured for IoT can opportunistically transmit data, while protecting incumbents from receiving harmful interference. The lower frequency of operation extends the range by a factor of five over ISM bands. In less-densely populated area where larger swaths of such bandwidth are available, TVWS-based IoT networks can support many more devices simultaneously and larger transmission size per device. Our early experimental field work was incorporated into a petition to the US FCC, and further work influenced the subsequent regulations permitting the use of IoT devices in TVWS. We highlight the technical challenges and our solutions involved in deploying IoT devices in the shared spectrum and complying with the FCC rules.<\/p>\n","protected":false},"excerpt":{"rendered":"

The deployment of Internet of Things (IoT) networks has rapidly increased over recent years — to connect homes, cities, farms, and many other industries. Today, these networks rely on connectivity solutions, such as LoRaWAN, operating in the ISM bands. Our experience from deployments in multiple countries has shown that such networks are bottlenecked by range […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13547],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-830539","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-systems-and-networking","msr-locale-en_us"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2022-3-1","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"url","viewUrl":"false","id":"false","title":"https:\/\/www.usenix.org\/conference\/nsdi22\/presentation\/chakraborty","label_id":"243109","label":0}],"msr_related_uploader":"","msr_attachments":[],"msr-author-ordering":[{"type":"user_nicename","value":"Tusher Chakraborty","user_id":40210,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Tusher Chakraborty"},{"type":"text","value":"Heping Shi","user_id":0,"rest_url":false},{"type":"user_nicename","value":"Zerina Kapetanovic","user_id":42303,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Zerina Kapetanovic"},{"type":"user_nicename","value":"Bodhi Priyantha","user_id":31270,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Bodhi Priyantha"},{"type":"user_nicename","value":"Deepak Vasisht","user_id":40231,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Deepak Vasisht"},{"type":"text","value":"Andrew Nelson","user_id":0,"rest_url":false},{"type":"text","value":"Parag Pandit","user_id":0,"rest_url":false},{"type":"text","value":"Prasad Pillai","user_id":0,"rest_url":false},{"type":"text","value":"Yaswant Chabria","user_id":0,"rest_url":false},{"type":"text","value":"Binh Vu","user_id":0,"rest_url":false},{"type":"user_nicename","value":"Ranveer Chandra","user_id":33344,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Ranveer Chandra"}],"msr_impact_theme":[],"msr_research_lab":[199565],"msr_event":[827029],"msr_group":[144899,714067],"msr_project":[881235,785224,170158],"publication":[],"video":[],"download":[],"msr_publication_type":"inproceedings","related_content":{"projects":[{"ID":881235,"post_title":"Project FarmVibes","post_name":"project-farmvibes","post_type":"msr-project","post_date":"2022-10-06 08:00:00","post_modified":"2024-07-29 09:55:45","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/project-farmvibes\/","post_excerpt":"Democratizing digital tools for sustainable agriculture As one of the biggest contributors to climate change, agriculture, along with land use degradation and deforestation, account for about a quarter of the global GHG emissions and consumes about 70% of the world\u2019s freshwater resources. 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Farmers depend on predictable weather for their farm management practices, and unexpected weather events, e.g., high heat, floods, etc. leaves them unprepared to…","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/881235"}]}},{"ID":785224,"post_title":"6G | Space","post_name":"6g-space","post_type":"msr-project","post_date":"2021-10-15 00:50:33","post_modified":"2024-04-03 10:11:57","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/6g-space\/","post_excerpt":"By harnessing the power of 6G & Space networks, we strive to bridge the digital divide, enable lightning-fast data transmission, and unleash the potential of ubiquitous and energy-efficient connectivity.","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/785224"}]}},{"ID":170158,"post_title":"Networking Over White Spaces (KNOWS)","post_name":"networking-over-white-spaces-knows","post_type":"msr-project","post_date":"2008-12-19 20:10:09","post_modified":"2021-04-12 22:35:02","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/networking-over-white-spaces-knows\/","post_excerpt":"The next generation of wireless networks will include software defined radios, cognitive radios, and multi-radio systems which will co-exist harmoniously while operating over a very wide range of frequencies. 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