Abstract

This paper studies blind signal classification (SC) in the nonorthogonal multiple access (NOMA) system, which especially determines whether or not the received NOMA signal requires successive interference cancellation (SIC) without a priori signal information. In this paper, two types of blind SC errors are analyzed: 1) the signal that has to cancel the superposed interference component is classified as one that does not require SIC and 2) the signal that has no need of performing SIC is classified as one that requires SIC. Here, the interesting observation is that the classification error of the first type decreases with the SNR, but that of the second type increases with the SNR. In this regard, this paper proposes the joint user pairing and power allocation policy for the NOMA system based on the above observation that the blind SC performance of the NOMA user who does not perform SIC decreases with the SNR. The joint optimization problem maximizes the sum-rate gain of NOMA over orthogonal multiple access (OMA) with constraints on the maximum classification error probability and the minimum data rate. Since the problem is nonconvex, we propose the numerical algorithm that iteratively finds the appropriate user scheduling and power allocation. Simulation results show that the proposed scheme outperforms existing user scheduling methods.

Highlights

  • In next-generation communications, it is necessary to provide high data rates to a massive number of devices with limited resources [1]

  • The concept of ML-based modulation classification (MC) [21] is applied to blind SC in the nonorthogonal multiple access (NOMA) system, and this paper especially focuses on blind SC for the existence of interference [18]

  • NUMERICAL RESULTS we show that the analytically obtained error probability of blind SC for the presence of interference is well matched to numerical results

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Summary

INTRODUCTION

In next-generation communications, it is necessary to provide high data rates to a massive number of devices with limited resources [1]. The 3GPP has discussed blind SC in NOMA system [19], [20] In this regard, this paper explores user scheduling and power allocation in the downlink NOMA system when blind SC is required at the receiver. This paper proposes the advanced user scheduling and power allocation scheme in the NOMA system where users perform blind SC for the presence of interference. The receivers are assumed to perform blind SC, and the transmitter applies appropriate user scheduling and power allocation for NOMA signaling to guarantee the reliable. The operating SNR region guarantees reliable data detection within the constellation set which the received signal is based on, and respectable performances of data detection as well as blind SC are achieved in the high SNR region. The high SNR region is defined as the region in which the receiver can correctly decode the signals of both non-SIC user and SIC user

ML-BASED BLIND SIGNAL CLASSIFICATION
EXTENSION TO M-USER GROUPING FOR NOMA
CLASSIFICATION ERROR AT THE NON-SIC USER
NUMBER OF DATA SAMPLES REQUIRED FOR BLIND SIGNAL CLASSIFICATION
JOINT OPTIMIZATION PROBLEM OF USER SCHEDULING AND POWER ALLOCATION
USER SCHEDULING PROBLEM
NUMERICAL RESULTS
CONCLUSION
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