AirShare: Distributed coherent transmission made seamless
By Omid Salehi-Abari, Hariharan Rahul, Dina Katabi, M. Pant. 2015
176 citations recorded by the source corpus.
Distributed coherent transmission is necessary for a variety of high-gain communication protocols such as distributed MIMO and creating codes over the air. Unfortunately, however, distributed coherent transmission is intrinsically difficult because different nodes are driven by independent clocks, which do not have the exact same frequency. This causes the nodes to have frequency offsets relative to each other, and hence their transmissions fail to combine coherently over the air. This paper presents AirShare, a primitive that makes distributed coherent transmission seamless. AirShare transmits a shared clock on the air and feeds it to the wireless nodes as a reference clock, hence eliminating the root cause for incoherent transmissions. The paper addresses the challenges in designing and delivering such a shared clock. It also implements AirShare in a network of USRP software radios, and demonstrates that it achieves tight phase coherence. Further, to illustrate AirShare's versatility, the paper uses it to deliver a coherent-radio abstraction on top of which it demonstrates two cooperative protocols: distributed MIMO, and distributed rate adaptation.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- H. Vincent Poor
- Kaibin Huang
- Guangxu Zhu
- Yuanming Shi
- Hariharan Rahul
- Zhiguo Ding
- Yong Wang
- Omid Salehi-Abari
In Electrical and Electronic Engineering
- H. Vincent Poor
- Kaibin Huang
- Yuanming Shi
- Zhiguo Ding
- Guangxu Zhu
- Omid Salehi-Abari
- Kobi Cohen
- Hariharan Rahul
Citations in the corpus
- Over-the-air Function Computation in Sensor Networks (2016, methodology): “Sensors can do so using recently developed synchronization techniques such as AirShare [1].”
- Federated Learning: A signal processing perspective (2021, methodology): “These include the analog modulation method proposed in [49], or the broadcasting of a shared cloak during the model distributing step as proposed in [50].”
- Federated Learning via Over-the-Air Computation (2018, background): “Recent research works on AirComp have achieved significant progresses from the point of view of information theory [22], signal processing [23], transceiver design [24], [25], channel state information acquisition [26], synchronization issues [27], [28], the AirComp based model aggregation problem p”
- Caraoke: An E-Toll Transponder Network for Smart Cities (2015, background): “Finally, a vast majority of past research on issues related to CFO focuses on how to eliminate or estimate the CFO and compensate for it [12, 49, 48, 52].”
- Broadband Analog Aggregation for Low-Latency Federated Edge Learning (2018, methodology): “An alternative scheme, called AirShare, is developed in [24] which broadcasts a shared clock to all devices to enforce synchronization.”