The Internet of Things (IOT) is a revolutionary communication technology which enables numerous heterogeneous objects to be inter-connected. In such a wireless system, interference management between the operating devices is an important challenge. Cognitive Radio (CR) seems to be a promising enabler transmission technology for the 5G-IOT system. The "sense-and-adapt" smart transmission strategy in CR systems can help to overcome the problem of multiple access interference (MAI) in IOT systems. In this paper, a 5G-IOT smart infrastructure system is arranged in the form of CR based virtual antenna array (VAA) system. In VAA based wireless system, knowledge of users' locations can help the transmitter to achieve interference avoidance by steering the main beam towards the intended recipient. This idea has been applied to the VAA-IOT system, where smart antenna array based location aware beamforming are applied at both transmitter and receiver cluster of smart sensors with the help of spatial modulation principle. The waveform of choice for the CR-IOT clusters is Generalized Frequency Division Multiplexing (GFDM) while corresponding waveform for the primary user (PU) cluster is conventional Orthogonal Frequency Division Multiplexing (OFDM). Computer simulation shows that under multipath fading conditions, the implemented system can reduce the interference to the primary user (PU) system, leading to better coexistence.

Non-orthogonal multiple access (NOMA) systems are being considered as candidates for 5G wireless systems due to their promise of improved spectral efficiency. NOMA schemes are being combined with popular multicarrier schemes such as orthogonal frequency division multiplexing (OFDM) to take advantage of the benefits of multicarrier signals. A variant of the power domain NOMA is Layer Division Multiplexing (LDM). The most commonly deployed power domain LDM scheme involves successive interference cancellation (SIC) based decoding at the receiver. Fast convolution based filtered-OFDM (FC-F-OFDM) systems are becoming popular among 5G wireless access technologies due to their ability to process 5G physical layer signals efficiently. In this work, firstly, a cognitive multicarrier non-orthogonal multiplexed system based on the concept of LDM is discussed, which uses FC-F-OFDM and conventional OFDM as its component layers. Secondly, cyclostationary FREquency SHift (FRESH) filter based SIC decoding is used at the receiver side, which also utilizes artificial neural network (ANN) processing. Computer simulations indicate that the system provides good bit error rate (BER) performance under frequency selective Rayleigh fading channels.

No abstract

No abstract

No abstract

No abstract

No abstract

No abstract