Non-Orthogonal Multiple Access (NOMA) Signal Detection using SVM over Rayleigh Fading Channel

Kavitha, Kanakaraj; Thilagavathi, K.; Dhivyapraba, R.; Jasmine, Kumaraswamy; Sugumar, D.

doi:10.1109/icdcs54290.2022.9780685

Cited by 1 publication

(1 citation statement)

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“…In a nonorthogonal multiplexing scheme [ 12 ], where individual signals are detected via interference cancellers and maximum likelihood detection methods in an environment accessed by many terminals, several methods for detecting the presence of signals have been studied. For signal detection before canceller operation, a signal detection method using a support vector machine (SVM) [ 24 ] and an active user detection method using the alternating direction method of multipliers (ALM) [ 25 ] have been proposed. These methods are based on the premise that the modulation of the transmitted signal does not affect signal detection.…”

Section: Related Studiesmentioning

confidence: 99%

Three Level Recognition Based on the Average of the Phase Differences in Physical Wireless Parameter Conversion Sensor Networks and Its Effect to Localization with RSSI

Ito

Oda

Takyu

et al. 2023

Sensors

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In recent years, there have been increased demands for aggregating sensor information from several sensors owing to the spread of the Internet of Things (IoT). However, packet communication, which is a conventional multiple-access technology, is hindered by packet collisions owing to simultaneous access by sensors and waiting time to avoid packet collisions; this increases the aggregation time. The physical wireless parameter conversion sensor network (PhyC-SN) method, which transmits sensor information corresponding to the carrier wave frequency, facilitates the bulk collection of sensor information, thereby reducing the communication time and achieving a high aggregation success rate. However, when more than one sensor transmits the same frequency simultaneously, the estimation accuracy of the number of accessed sensors deteriorates significantly because of multipath fading. Thus, this study focuses on the phase fluctuation of the received signal caused by the frequency offset inherent to the sensor terminals. Consequently, a new feature for detecting collisions is proposed, which is a case in which two or more sensors transmit simultaneously. Furthermore, a method to identify the existence of 0, 1, 2, or more sensors is established. In addition, we demonstrate the effectiveness of PhyC-SNs in estimating the location of radio transmission sources by utilizing three patterns of 0, 1, and 2 or more transmitting sensors.

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Section: Related Studiesmentioning

confidence: 99%