Large scale multiple-input multiple-output (LSMIMO) is a relatively new concept which can be used to increase the data rate and throughput of wireless networks. In this paper, performance analysis for LS-MIMO has been carried out for mobile-to-mobile (M2M) communication network over N-α-μ fading channels. The orthogonality condition for LS-MIMO over cascaded independent and identically distribu...

MIMO (Multiple Input Multiple Output) enabled systems are characterized by higher reliability and transmission rates, as compared to conventional SISO (Single Input Single Output) systems. However, unless administered properly, the MIMO technology may not facilitate very high throughputs on point-to-point wireless links. Therefore, it becomes imperative for the network architect to design such ...

Phased-multiple-input multiple-output (phased-MIMO) radar using one-dimensional transmit arrays has been thoroughly investigated in the literature. In this paper, we consider two-dimensional phased-MIMO radar array which is called planar-phased-MIMO radar. This new technique aggregates the advantages of the linear-phased-MIMO radar without sacrificing either the main advantage of the planar-pha...

Multiple input multiple output (MIMO) systems using multiple transmit and receive antennas are widely recognized as the vital breakthrough that will allow future wireless systems to achieve higher data rates with limited bandwidth and power resources. The capacity of MIMO systems depends strongly on whether the channel state information (CSI) is available at the transmitter or not. The main aim...

Imperfect channel state information degrades the performance of multiple-input multiple-output (MIMO) communications; its effects on single-user (SU) and multiuser (MU) MIMO transmissions are quite different. In particular, MU-MIMO suffers from residual interuser interference due to imperfect channel state information while SU-MIMO only suffers from a power loss. This paper compares the through...

In this paper, we introduce the generalization of the concept of crystallized rate regions for MIMO-OFDM transmission. The extension from the OFDM and MIMO case to MIMO-OFDM scenario of the time-sharing convex hull of achievable rates is discussed and a new definition of the cost function for the rate region game is derived. Based on the new game definition, the simulation results for the MIMO-...

Adaptive Modulation and Coding (AMC) is combined with Multiple Input Multiple Output (MIMO) multiplexing to improve the throughput performance of AMC. In addition, Selection Transmit Diversity (STD) is considered in MIMO multiplexing to achieve higher diversity gain. AMC-STD-MIMO multiplexing system is proposed. STD in our simulation selects 2 transmission antennas from 4 antennas and AMC-MIMO ...