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In this paper, we investigate the performance of a coded full-duplex multiple-input multiple-output (FD-MIMO) bi-directional transceiver. To mitigate self-interference (SI), it erative detection and decoding (IDD) are proposed that uti lize soft parallel interference cancellation (SPIC) with adaptive Minimum Mean-Squared-Error (MMSE) filtering. Furthermore, Space-Time Bit-Interleaved Coded Modulation (ST-BICM) based channel coding schemes are considered, i.e. convolutional or turbo code based, and the system performance is evaluated in the presence of additive white Gaussian noise (AWGN) over MIMO Rayleigh fading channels. The proposed near-optimal IDD scheme performs cancellation of SI by iteratively exchanging the soft information of the desired and SI signals between the detector, which comprises adaptive MMSE filtering with log likelihood ratio (LLR) demapping, and the soft-in soft-out (SISO) decoder implementing linear to logarithmic approximation of the maximum a posteriori algorithm. Performance results are presented to demonstrate the Bit-Error-Rate (BER) performance of the proposed coded FD-MIMO as a function of the signal to noise ratio (SNR). Furthermore, a comparison of the proposed IDD system with relevant state-of-the-art approaches is given which shows a significant improvement in performance as a result of the introduced iterative processing that reduces SI considerably. Index Terms-Full-Duplex (FD), Multiple-input multiple output (MIMO), Self-interference cancellation (SIC), Iterative detection and decoding (IDD), and Soft Parallel Interference cancellation (SPIC).

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In this paper,  non-orthogonal multiple access (NOMA) is designed and implemented for the fifth generation (5G) of multi-user wireless communication.  Field-programmable gate array (FPGA) is considered for the implementation of this technique for two users. NOMA is applied in downlink phase of the base-station (BS) by applying power allocation mechanism for far and near users, in which one signal contains the superposition of two scaled signals depending on the distance of each user from the BS.  We assume an additive white Gaussian noise (AWGN) channel for each user in the presence of the interference due to the non-orthogonality between the two users’ signals. Therefore, successive-interference cancellation (SIC) is exploited to remove the undesired signal of the other user. The outage probability and the bit-error rate performance are presented over different signal-to-interference-plus-noise ratio (SINR). Furthermore, Monte-Carlo simulations via Matlab are utilized to verify the results obtained by FPGA, which show exact-close match.

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In this paper, we derive a tight upper bound on the performance of a coded full-duplex multiple-input multipleoutput (MIMO)-based bidirectional transceiver. Iterative detection and decoding (IDD) are proposed to suppress the residual self-interference (SI) remaining after applying different stages of SI cancellation. IDD comprises an adaptive minimum meansquared error filter with log-likelihood ratio demapping, while the soft decoder by using soft-in soft-out decoding utilizes the maximum a posteriori algorithm. Furthermore, bit-interleaved coded modulation is considered in the presence of additive white Gaussian noise over MIMO frequency non-selective Rayleigh fading channels. Simulation results are presented to demonstrate the bit-error rate (BER) performance as a function of the signal-to-noise ratio showing a close match to the SI-free case for the proposed system. Furthermore, we validate our results by deriving a tight upper bound on the performance of the proposed system using rate-1/2 convolutional codes together with M-ary quadrature amplitude modulation, which asymptotically exhibits a close agreement with the simulated BER performance. Moreover, extrinsic information transfer chart analysis is used to investigate the convergence behavior of the proposed IDD receiver and to determine the number of iterations required for this convergence.

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