Concurrent interference cancellation

Shahid, Muhammad Osama; Philipose, Millan; Chintalapudi, Krishna; Banerjee, Suman; Krishnaswamy, Bhuvana

doi:10.1145/3452296.3472931

Cited by 52 publications

(2 citation statements)

References 16 publications

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“…To address the issue of packet conflicts affecting network throughput as the number of Long-Range Radio (LoRa) deployments increases, Shahid proposes an interference cancellation technique [29] called Concurrent Interference Cancellation (CIC). CIC eliminates interfering symbols by selecting the optimal set of sub-symbols, thereby performing concurrent decoding on multiple conflicting LoRa packets.…”

Section: Related Workmentioning

confidence: 99%

A Robust Reliable Low-power High Throughput Data Collection Wireless Sensor Network

Liu,

Jiang,

Lin

2024

Preprint

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This paper presents a robust data gathering protocol for wireless sensor network applications that require high throughput, reliability, and low-power. Insofar as high throughput is concerned, TDMA is more suitable than CSMA. Efficient TDMA protocols require solid synchronization and more optimized time slot scheduling. Reliable data collection calls for end-to-end packet retransmission. Such factors hinder the implementation of a comprehensive data collection protocol. In this paper, a heuristic TDMA scheduling algorithm is provided to achieve optimized time slot scheduling with multi-channel communication. The combination of TDMA and multi-channel communication affords to sustain high throughput and low-power communication. In addition, this paper leverages constructive interference based flooding to provide robust synchronization and efficient downward communication. Therefore, we are able to associate constructive interference based flooding with packet retransmission to implement collection reliability. The proposed protocol is implemented on self-made sensor node with Contiki operating system. Experimental results in a deployed network consisting of 29 self-made sensor nodes show that the protocol is able to maintain lasting operation and provide throughput as high as 14.74 KByte/s with 100\% data collection.

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Section: Related Workmentioning

confidence: 99%

A Robust Reliable Low-power High Throughput Data Collection Wireless Sensor Network

Liu,

Jiang,

Lin

2024

Preprint

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“…This is not the case instead for LoRa modulation, as the pseudoorthogonality of the transmission with different lengths N = 2 SF (SF being the spreading factor) is not precisely characterized [14]. LoRaWAN multi-user receivers have been investigated (see [39], for example), but the number of overlapping packets that can reasonably be decoded by a LoRa multi-user receiver is limited to very few, while in GM multiple single-user independent receivers can successfully decode several tens of interfering packets (see Fig. 8).…”

Section: A the General Receivermentioning

confidence: 99%

Golden Modulation: A New and Effective Waveform for Massive IoT

Vangelista,

Jechoux,

Canonici

et al. 2024

IEEE Trans. Commun.

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Massive Internet of Things systems, e.g., Low Power Wide Area Networks, aim at connecting very large numbers of low-cost devices with multi-year battery life requirements, a goal that is hard to achieve with current technologies. In this paper, a novel asynchronous spread spectrum technique, called Golden Modulation, is introduced. This modulation provides a vast family of equivalent waveforms with very low cross-correlation even in asynchronous conditions, hence enabling naturally massive multiuser operation without the need for inter-user synchronization or interference cancellation receivers. The basic modulation principles, which rely on spectrum spreading via direct Zadoff-Chu sequences modulation, are presented and the corresponding theoretical bit error rate performance in additive white Gaussian noise and multi-path channels is derived and compared by simulation with realistic receiver performance. The demodulation of the Golden Modulation is described, and its performance in the presence of uncoordinated multiple users is characterized and compared against LoRa in a variety of scenarios. Various higher-layer and backward compatibility issues are also discussed.

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