Affiliation:
1. School of Information and Communication Guilin University of Electronic Technology Guilin China
2. Samsung Research China‐Beijing (SRC‐B) Beijing China
Abstract
AbstractThis paper considers a Non‐Orthogonal Multiple Access (NOMA) network, in which base station transmits a data packet by multi‐user superposition to a destination. In this system, Successive Interference Cancellation (SIC) receiver is used to eliminate the co‐channel interference. Some physical layer parameters, such as modulation order and precoding matrix indicator (PMI), are required for the SIC receiver to separate the overlapped signals. However, an abundance of parameters would bring a large number of signalling overhead. To reduce the signalling overhead, some of these parameters can be blindly detected instead of signalling notification. To detect these kinds of parameters, a novel blind detection algorithm is proposed in this paper. Firstly, feature extraction based on wavelet cluster is introduced to obtain feature information from received data. Then a filter is designed to reduce the interference among these features. Theoretical analysis and simulation results show that the proposed algorithm achieves high detection performance under the computation complexity of approximate the max‐log likelihood algorithm.
Funder
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Subject
General Engineering,Energy Engineering and Power Technology,Software