Selection Diversity Transmission Research Articles

ADAPTIVE TRANSMIT DIVERSITY SELECTION (ATDS) BASED ON STBC AND SFBC FIR 2X1 MIMO OFDM SYSTEMS

In this paper, a new adaptive transmit diversity selection (ATDS) scheme is proposed for future wireless communication system to provide high spectral efficiency (SE) and good quality of service (QOS) .The ATDS scheme selects the space time block code (STBC) orthogonal frequency division multiplexing (OFDM) scheme for flat fading channel and it selects space frequency block code (SFBC) OFDM scheme for frequency selective fading channel. The proposed scheme provides low average bit error rate (BER) and high average SE by using the benefits of STBC-OFDM for flat fading channel and SFBC-OFDM for frequency selective fading channel. The obtained simulation results validate this statement.

Transmit Diversity and Relay Selection Algorithms for Multirelay Cooperative MIMO Systems

In this paper, we propose a set of joint transmit diversity selection (TDS) and relay selection (RS) algorithms based on discrete iterative stochastic optimization for the uplink of cooperative multiple-input-multiple-output (MIMO) systems. Decode-and-forward (DF) and amplify-and-forward (AF) multirelay systems with linear minimum mean square error (MSE), successive interference cancelation, and adaptive reception are considered. The problems of TDS and RS are expressed as MSE and mutual information (MI) joint discrete optimization problems and solved using iterative discrete stochastic algorithms. Such an approach circumvents the need for exhaustive searching and results in a range of procedures with low complexity and increased speed of convergence that can track the optimal selection over an estimated channel. The proposed schemes are analyzed in terms of their complexity, convergence, and diversity benefits and are shown to be both stable and computationally efficient. Their performance is then evaluated via MSE, MI, and bit error rate comparisons and shown to outperform conventional cooperative transmission and, in the majority of scenarios, match that of the optimal exhaustive solution.

Joint Transmit Diversity Optimization and Relay Selection for Multi-Relay Cooperative MIMO Systems Using Discrete Stochastic Algorithms

We propose a joint discrete stochastic optimization based transmit diversity selection (TDS) and relay selection (RS) algorithm for decode-and-forward (DF), cooperative multiple-input multiple-output (MIMO) systems with a non-negligible direct path. TDS and RS are performed jointly with continuous least squares channel estimation (CE) without the need for inter-relay communication and linear minimum mean square error (MMSE) receivers are used at all nodes. The performance of the proposed scheme is evaluated via bit-error rate (BER) comparisons and diversity analysis, and is shown to converge to the optimum exhaustive solution.