Clearing the RF smog

Gollakota, Shyamnath; Adib, Fadel; Katabi, Dina; Seshan, Srinivasan

doi:10.1145/2018436.2018456

Cited by 130 publications

(3 citation statements)

References 25 publications

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“…Our work is inspired by TIMO [23] which uses a special MIMO technique in the uplink to decode the overlapped signals. While our work enables both i) downlink (transmitting to WiFi and BLE devices) and ii) uplink (receiving from WiFi and BLE devices) concurrent communications with a single antenna (instead of MIMO).…”

Section: Introductionmentioning

confidence: 99%

Parallel inclusive communication for connecting heterogeneous IoT devices at the edge

Chi

Liu

et al. 2019

Proceedings of the 17th Conference on Embedded Networked Sensor Systems

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WiFi and Bluetooth Low Energy (BLE) are widely used in Internet of Things (IoT) devices. Since WiFi and BLE work within the overlapped ISM 2.4 GHz band, they will interfere with each other. Existing approaches have demonstrated their effectiveness in mitigating the interference. However, further performance improvement has been hampered by the design goal of exclusive communication of WiFi or BLE, which only allows one WiFi or BLE device to transmit packets at any specific time slot on the overlapped channel within the communication range. In this paper, we explore a new communication method, called Parallel Inclusive Communication (PIC), which leverages the unique modulation schemes of WiFi and BLE for parallel inclusive bi-directional transmission of both WiFi and BLE data at the same time within the overlapped channel. In this communication system, the PIC gateway is designed upon the IEEE 802.11g and 802.15.1 frameworks while the WiFi and BLE clients are commercial off-the-shelf devices. PIC achieves similar data rates for these parallel WiFi and BLE communications as if WiFi and BLE are communicating separately. PIC's system architecture naturally fits at the edge of the Internet, which is an optimal site for concurrently collecting (or disseminating) data from (or to) an exponentially increasing number of IoT devices that are using WiFi or BLE. We conducted extensive evaluations under four real-world scenarios. Results show that compared with existing approaches, PIC can significantly i) increase the packet reception ratios by 183%; ii) reduce the round-trip delay time by 590 times and energy consumption by 50.5 times; and iii) improve the throughput under WiFi and BLE coexistence scenarios.

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Section: Introductionmentioning

confidence: 99%

Parallel inclusive communication for connecting heterogeneous IoT devices at the edge

Chi

Liu

et al. 2019

Proceedings of the 17th Conference on Embedded Networked Sensor Systems

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“…These devices use Wi-Fi/Bluetooth or proprietary wireless in the 2.4 GHz ISM band and operate alongside Wi-Fi routers, smartphones, laptops and tablets. As more devices share the wireless channel, wireless interference and packet collisions increase, negatively impacting the throughput and latency [2] [3].…”

Section: Introductionmentioning

confidence: 99%

Wireless quantization index modulation: Enabling communication through existing signals

Kapetanovic

Talla

Parks

et al. 2018

2018 IEEE International Conference on RFID (RFID)

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As the number of IoT devices continue to exponentially increase and saturate the wireless spectrum, there is a dire need for additional spectrum to support large networks of wireless devices. Over the past years, many promising solutions have been proposed but they all suffer from the drawback of new infrastructure costs, setup and maintenance, or are difficult to implement due to FCC regulations. In this paper, we propose a novel Wireless Quantization Index Modulation (QIM) technique which uses existing infrastructure to embed information into existing wireless signals to communicate with IoT devices with negligible impact on the original signal and zero spectrum overhead. We explore the design space for wireless QIM and evaluate the performance of embedding information in TV, FM and AM radio broadcast signals under different conditions. We demonstrate that we can embed messages at up to 8-200 kbps with negligible impact on the audio and video quality of the original FM, AM and TV signals respectively.In this paper, we propose a new cost and spectrally efficient solution for wireless communication. Consider an urban city environment as shown in Fig. 1 with existing deployments of AM, FM, TV, and cellular base stations. These base stations have been setup with tremendous infrastructure cost, undergo

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“…In result, this causes the heterogeneous devices to freely transmit even when another device is transmitting, thus causing severe interference to each other. This is called the cross-technology interference problem [3,4]. This is particularly unfavorable for less-capable technologies, i.e., low priority networks, because they often starve due to their relatively small transmission power and slow hardware.…”

Section: Introductionmentioning

confidence: 99%

NBP: light-weight Narrow Band Protection for ZigBee and Wi-Fi coexistence

Lim

Lee

Yoo

et al. 2013

J Wireless Com Network

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The recent development of various wireless technologies in the 2.4GHz ISM band has led to the co-channel coexistence of heterogeneous wireless devices, such as Wi-Fi, Bluetooth, and ZigBee. This sharing of the common channel results in the challenging problem of cross-technology interference, since the wireless devices generally use diverse PHY/MAC specifications. In particular, the less capable ZigBee device may often experience unpredictably low throughput due to the interference from the powerful Wi-Fi. The ZigBee protector is an attractive solution, since it can reserve the channel on behalf of the weak ZigBee devices. The protector method, however, has a few limitations; (i) it may cause significant overhead to both ZigBee and Wi-Fi, and (ii) the ZigBee control packets are still vulnerable to the Wi-Fi interference. In this paper, we propose a novel time reservation scheme called Narrow Band Protection (NBP), that uses a protector to guard the ongoing ZigBee transmission. The key contributions are threefold: First, NBP autonomously detects any ongoing ZigBee transmissions by cross-correlating the ZigBee's packets with the pre-defined Pseudo-random Noise (PN) sequences. By using this cross-correlation, it significantly reduces the control overhead. Second, due to the reliable cross-correlation, NBP is robust from the control packet collisions, which typically wastes channel time for both ZigBee and Wi-Fi. Third, NBP protects the burst of ZigBee packets by estimating the size of the burst, in turn, giving a semantic to the PN codebook. This is important because ZigBee is typically battery-powered and thus the long burst is advantageous for the low duty cycle operations. We first show the feasibility of NBP by implementing it on the real USRP/GNURadio platform. Then, we evaluate the performance of NBP through mathematical analysis and NS-2 simulations. The results show that NBP enhances the ZigBee throughput by up to 1.77x compared to the existing scheme.

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Clearing the RF smog

Cited by 130 publications

References 25 publications

Parallel inclusive communication for connecting heterogeneous IoT devices at the edge

Parallel inclusive communication for connecting heterogeneous IoT devices at the edge

Wireless quantization index modulation: Enabling communication through existing signals

NBP: light-weight Narrow Band Protection for ZigBee and Wi-Fi coexistence

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