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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...
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 evaluates performance of a conventional medium access protocol, ALOHA when multiple antennas are employed at a receiver. With the price of signal processing at the receivers, parallel transmissions in the same frequency is resolvable, given that channel matrix can be obtained. This whole system can be seen as a multiple-input-multiple-output (MIMO) system which is known to increase capacity...
This paper reports on the performance of the space time block coded MIMO system with spatial redundancy which is accomplished using a larger than required numbers of antennas. The proposed scheme guides the transmitted power onto the RF branches with higher gain coefficients. The carried out theoretical analysis shows that the scheme can achieve higher channel capacity and lower symbol error rate...
In this paper, the performances of two MIMO channel estimation methods, the scaled least square (SLS) and the minimum mean-square error (MMSE), have been investigated using a two-ring double-bounce channel model representing a signal scattering environment. It has been shown that both SLS and MMSE methods offer a better performance at higher values of the Rician factor K, meaning that the presence...
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)...
This paper is concerned with the optimal transmission/power allocation scheme for a MIMO system employing a uniform circular array (UCA) antenna at the transmitter and a uniform linear array (ULA) antenna at the receiver. Investigations include mutual coupling (MC) effects in the UCA. By applying the transmitting mutual impedances, closed-form expressions for the spatial fading correlation (SFC) function...
This paper reports on channel estimation for a multiple input multiple output system, in which the transmitter is equipped with a linear array antenna while the receiver uses a circular array antenna. A model that includes spatial correlated channels and effects of mutual coupling is presented to investigate the performance of a training-based minimum mean-square error MIMO channel estimation method...
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