An S-Parameter based modeling of a MIMO channel using half-wave dipole antennas

Abstract: In this paper we have introduced an S-parameter based approach for computation of MIMO channel matrix where the entire channel model is developed using half-wave dipoles. For the model under consideration, suitably terminated dipole antennas represent scatterers with different scattering coefficients. We first validate our approach by comparing results obtained by our method with the results already reported in literature for similar model evaluated using different method. Using our proposed method, we determine the variation of capacity of a MIMO link as function of separation of antennas in the mobile station for a macrocellular scenario where the scattering environment is represented by a ring of scatterers surrounding the mobile station. We further extend our approach for modeling a dual polarized MIMO system. Simulation results on capacity match with the expected results that further corroborate the effectiveness of our approach

Optimal Design of MIMO Antenna Configurations on Mobile Phone

ได้รับทุนอุดหนุนการวิจัยจากมหาวิทยาลัยเทคโนโลยีสุรนารี ปีงบประมาณ พ.ศ.255

MIMO Channel Modeling: A Review

Abstract: Channel modeling plays an important role in understanding the behavior and designing of communication systems for different environments. In this paper, we make a brief review of the different channel modeling techniques used to model a multiple-input-multiple-output (MIMO) wireless channel

Experiments of closely coupled monopoles with load matching in a random field

Recent theoretical and simulation studies reveal that closely coupled antennas with appropriately chosen impedance matching loads can yield desired characteristics of small antenna correlation coefficients and/or high received power levels. However, no experiment has been performed to verify these claims. Here, we describe an experimental setup used to investigate the correlation and received power of closely coupled antennas with impedance matching. Specifically, a two-monopole array with a small antenna spacing 0.05 wavelength and five different matching networks are constructed and measured. Whereas our experimental results largely confirm theoretical predictions, some discrepancies due to simplifications made in the theoretical models are observed

Antenna matching for capacity maximization in compact MIMO systems

As MIMO technology slowly matures, it is finding its way into more wireless applications. However, some important applications, including mobile communications, require compact implementations. One important challenge in miniaturizing MIMO systems for compact terminals is to overcome capacity performance degradation resulting from mutual coupling among closely separated antennas. In this contribution, we begin with a review of the state-of-the-art, with particular emphasis on impedance matching and its impact on capacity. Whereas it has been shown that a multiport extension of the conjugate match is optimum in a reference environment with uniform 3D angular power spectrum, its bandwidth is severely reduced by decreasing antenna separation. On the other hand, noncoupled, individual port matching is inherently simpler to implement and broader in bandwidth, but offers a smaller capacity. Here, we demonstrate that mean capacity can be easily maximized with respect to individual port matching in a given random field. The extent of capacity gains provided by the optimized matching network over existing individual port matching networks strongly depends on the propagation environment

Capacity analysis for compact MIMO systems

We analyze the impact of mutual coupling on the capacity of MEMO systems with compact antenna arrays. Existing studies present conflicting views on the effect of mutual coupling. This is, in part, due to their different scopes and underlying assumptions of the system setups. In this paper, we aim to give a comprehensive picture by first examining the impact of mutual coupling on three capacity-related performance measures: antenna correlation, efficiency and bandwidth. While the first two aspects have received significant attention, antenna bandwidth with mutual coupling is a relatively uncharted territory. We show that while implementing a good matching network can drastically improve the system capacity for narrowband systems in the presence of strong mutual coupling, the same conclusions may not necessarily apply to wideband cases. To exemplify this, we carry out capacity simulations for an end-to-end MIMO system, where a recently proposed S-parameter approach is used in conjunction with the 3GPP-3GPP2 channel model to model realistic wideband channel and antenna effects at both transmit and receive ends

Optimization of linear wire antenna arrays to increase MIMO capacity using swarm intelligence

Free standing linear arrays (FSLA) are analyzed and optimized to increase MIMO capacity. A MIMO channel model based on electric fields is used. The effects of mutual interactions among the array elements are included into the channel matrix using method of moments (MoM) based full-wave solvers. A tool to design an antenna array of superior MIMO capacity for any specified volume is developed. Particle swarm optimization is used as the main engine for the optimization tasks of the tool. Uniform linear arrays, uniform circular arrays and non-uniform arrays are analyzed and compared in terms of their channel capacity

Multi-Panel Sparse Base Station Design with Physical Antenna Effects in Massive MU-MIMO

A novel base station antenna (BSA) configuration is presented to mitigate degrading physical antenna effects in massive multiple-input multiple-output (MIMO) systems, while minimizing implementation complexities. Instead of using a commonly considered single antenna panel comprising of many elements covering a wide field-of-view (FOV) of 120 degrees, L tilted panels are used employing L times fewer elements and L times smaller FOV per panel. The spatial resolution of each panel is enhanced by employing sparse arrays with suppressed (grating-lobe) radiation outside its corresponding FOV. Therefore, more directive antenna elements can be deployed in each panel to compensate for the effective isotropic radiated power (EIRP) reduction. While sectorisation reduces the antenna gain variation in 120 degrees FOV, cooperation among multiple panels in downlink beamforming is seen to be capable of inter-panel interference suppression for sum-rate enhancement. A network model is used as a multi-user (MU) MIMO simulator incorporating both antenna and channel effects. It is shown that when the number of base station antennas is ten times the number of users, the average downlink sum-rate in pure line-of-sight (LOS), rich and poor multipath environments is increased up to 60.2%, 23% and 11.1%, respectively, by multi-panel sparse arrays applying zero-forcing (ZF) precoding