Abstract
Orthogonal frequency division multiplexing (OFDM) is widely used in wired or wireless transmission systems. In the structure of OFDM, a cycle prefix (CP) has been exploited to avoid the effects of inter-symbol interference (ISI) and inter-carrier interference (ICI). This paper proposes a new approach to transmit the signals without CP transmission. Using the deep neural network, the proposed OFDM system transmits data without the CP. Simulation results show that the proposed scheme can estimate the CP at the receiver and overcome the effect of ISI.
Highlights
Orthogonal frequency-division multiplexing (OFDM) transmission is considered as a promising technology for high data-rate wired or wireless communications [1,2,3]
It can be efficiently combined with multi-input and multi-output (MIMO) systems for high spectral efficiency [4,5]
We propose a receiver that deals with the inter-symbol interference (ISI) in OFDM without cycle prefix (CP) transmission
Summary
Orthogonal frequency-division multiplexing (OFDM) transmission is considered as a promising technology for high data-rate wired or wireless communications [1,2,3]. It can be efficiently combined with multi-input and multi-output (MIMO) systems for high spectral efficiency [4,5]. MIMO systems are not always available for optic communications or power line communications [6,7] In such cases, it is important to have reliable high data-rate OFDM transmissions. A deep neural network is used to estimates the CP with the transmitted time-domain OFDM signals [10,11]. We consider the ISI cancellation problem as the multi-regression problem
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