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In this paper, a closed-form expression for Bit Error rate (BER) of a Multiple-Input Multiple-Output (MIMO) system employing the Minimum Mean Square Error MMSE channel estimation method is derived. The numerical results show that when the Channel State Information (CSI) is free of estimation errors BER decreases when the number of receive antennas increases. However under imperfect CSI, BER is getting...
This paper investigates a Slotted ALOHA protocol for a multi-user wireless system operating under partial Line of Sight (LOS) conditions in which both the base station and mobile users are equipped with multiple element antennas. The investigations focus on how physical layer parameters such as spatial correlation, mutual coupling and Rician factor K affect the system capacity. Probability model for...
In this paper, we investigate a switching scheme involving antenna selection and transmit beamforming modes for a multiple input multiple output (MIMO) system operating over a varying Rician channel. It is shown that that beamforming outperforms antenna selection when line of sight (LOS) component dominates the channel. Also transmit beamforming is superior over antenna selection at high values of...
The paper reports on the performances of training-based channel estimation methods in a multiple input multiple output (MIMO) communication system with transmitter equipped with a uniform linear array (ULA) and receiver equipped with either uniform circular array (UCA) or uniform linear array (ULA). In the undertaken investigations, the receiver is assumed to be free from any obstacles while the transmitter...
This paper reports on the effective degree of freedom (EDOF) and channel capacity of a multiple input multiple output (MIMO) communication system employing a uniform linear array (ULA) at transmitter and a uniform linear array (ULA) or uniform circular array (UCA) antenna at receiver. In the undertaken investigations, the receiver is postulated to be free from any obstacles while the transmitter is...
In this paper, a novel blind channel estimation algorithm for a multiple input multiple output (MIMO) system is described. This algorithm is easier to implement than the previously reported blind estimation algorithms because the channel state information (CSI) is recovered without performing complex mathematical operations such as singular value decomposition (SVD) or eigenvalue decomposition (EVD)...
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