Blind Signal Classification for Non-Orthogonal Multiple Access in Vehicular Networks
| Autor: | Joongheon Kim, Daejung Yoon, Minseok Choi |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
FOS: Computer and information sciences
Modulation order Computer Networks and Communications Computer science Computer Science - Information Theory Information Theory (cs.IT) Aerospace Engineering 020206 networking & telecommunications 020302 automobile design & engineering 02 engineering and technology medicine.disease Multiplexing Signal Noma 0203 mechanical engineering Computer engineering Transmission (telecommunications) Single antenna interference cancellation Modulation Automotive Engineering 0202 electrical engineering electronic engineering information engineering medicine Electrical and Electronic Engineering |
| Zdroj: | IEEE Transactions on Vehicular Technology |
| ISSN: | 0018-9545 |
| DOI: | 10.1109/tvt.2019.2932407 |
| Popis: | For downlink multiple-user (MU) transmission based on non-orthogonal multiple access (NOMA), the advanced receiver strategy is required to cancel the inter-user interference, e.g., successive interference cancellation (SIC). The SIC process can be applicable only when information about the co-scheduled signal is known at the user terminal (UT) side. In particular, the UT should know whether the received signal is OMA or NOMA, whether SIC is required or not, and which modulation orders and power ratios have been used for the superposed UTs, before decoding the signal. An efficient network, e.g., vehicular network, requires that the UTs blindly classify the received signal and apply a matching receiver strategy to reduce the high-layer signaling overhead which is essential for high-mobility vehicular networks. In this paper, we first analyze the performance impact of errors in NOMA signal classification and address ensuing receiver challenges in practical MU usage cases. In order to reduce the blind signal classification error rate, we propose transmission schemes that rotate data symbols or pilots to a specific phase according to the transmitted signal format. In the case of pilot rotation, a new signal classification algorithm is also proposed. The performance improvements by the proposed methods are verified by intensive simulation results. Comment: 13 pages, 15 figures |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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