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Multi-input multi-output (MIMO) technology becomes one of the most popular technologies for the fifth-generation (5G) wireless networks due to the advantages in terms of spectrum efficiency and data rate. However, some existing MIMO detectors cannot achieve a good trade-off between the performance and computational complexity. In this paper, we propose a novel DL-based detector for signal detection in MIMO systems, which integrates several modified DNNs into a parallel structure. By changing the connection between layers of conventional deep neural network (DNN) detectors and introducing some differences into these modified DNNs, the diversity of the detection results of these modified DNNs can be achieved. The numerical results verify that our proposed DL-based detector can obtain better performance in MIMO systems compared with some existing linear detectors and conventional DNN detector.

In this paper, the energy efficiency (EE) of full-duplex (FD) two-hop relay system with decode-and-forward (DF) and amplify-and-forward (AF) relaying protocols is studied. The residual self-interference (RSI) is modeled as a linear function of relay transmit power first. Then, with the constant transmission rate, the EE maximization problem is transformed into transmit power minimization problem and the minimum transmit power consumptions of the DF and AF protocols are obtained. Furthermore, the EE comparison of the DF and AF protocols is given with the minimum transmit power consumption. The simulation results are given to verify the theoretical EE analysis and comparison.

During the last few years, a number of Receive Antenna Shift Keying (RASK) schemes have been proposed. RASK has low detection complexity since only one receive antenna is activated to transmit spatial bits. Space-Time Block Code (STBC) offers an excellent way to exploit the high-rate of Multiple-Input Multiple-Output (MIMO) systems, and enjoys the implementation simplicity and low decoding complexity. In this paper, a novel transmission scheme, called Space-Time Block Coded Generalised Receive Spatial Modulation (STBC-GRSM) is proposed to take benefits from both STBC and GRSM schemes. Furthermore, a simple tight upper-bound of the Average Bit Error Probability (ABEP) of the proposed system is also provided. Finally, simulation results are shown to be in agreement with our ABEP bound and they illustrate the significant performance gains that can be obtained with our STBC-GRSM scheme compared to STBC, GRSM and Space-Time Block Coded Spatial Modulation (STBC-SM).

Based on the analysis of advantages and disadvantages of dynamic histogram method and intensity -pair based method, we present an adaptive contrast enhancement method based on detection of histogram feature. The results of experiments show that it is superior in image processing compared with brightness preserving method and the above-mentioned two methods. It has the benefits of the mentioned methods and also eliminates their defects. It has excellent flexibility and practicability so that can be used extensively.