Improvement of channel capacity on MIMO antenna systems with antenna pattern selection

2007 ◽  
Author(s):  
Atsuya Yokoi ◽  
Tsutomu Mitsui ◽  
Byung-Tae Yoon ◽  
Young-Eil Kim
Keyword(s):  
Channel Capacity ◽  
Antenna Pattern ◽  
Pattern Selection ◽  
Mimo Antenna ◽  
Antenna Systems

scholarly journals Radiation Pattern Analysis of Antenna Systems for MIMO and Diversity Configurations

2005 ◽  
Vol 3 ◽  
pp. 157-165 ◽  
Author(s):  
O. Klemp ◽  
H. Eul
Keyword(s):  
Radiation Pattern ◽  
Channel Capacity ◽  
Communication Systems ◽  
Pattern Analysis ◽  
Multiple Input Multiple Output ◽  
Analytical Description ◽  
Radiation Characteristics ◽  
Antenna Radiation ◽  
Mimo Antenna ◽  
Antenna Systems

Abstract. Multiple-input multiple-output (MIMO) antenna systems and antenna configurations for wideband multimode diversity rank among the emerging key technologies in next generation wireless communication systems. The analysis of such transmission systems usually neglects the influences of real antenna radiation characteristics as well as the influences of mutual coupling in a multielement antenna arrangement. Nevertheless, to achieve a detailed description of diversity gain and channel capacity by using several transmit- and receive antennas in a wireless link, it is essential to take all those effects into account. The expansion of the radiation fields in terms of spherical eigenmodes allows an analytical description of the antenna radiation characteristics and accounts for all the coupling effects in multielement antenna configurations. Therefore the radiation pattern analysis by spherical eigenmode expansion provides an efficient alternative to establish an analytical approach in the calculation of envelope correlation or channel capacity.

scholarly journals Modified MIMO Cube for Enhanced Channel Capacity

2012 ◽  
Vol 2012 ◽  
pp. 1-10
Author(s):  
Lajos Nagy
Keyword(s):  
Frequency Dependence ◽  
Channel Capacity ◽  
Indoor Environment ◽  
Antenna System ◽  
Mimo Antenna ◽  
Simulation Results

This paper deals with the optimization of MIMO antenna elements' position in modified MIMO cube for getting maximal channel capacity in indoor environment. The dependence of the channel capacity on the antenna orientation was analyzed by simulations. We have also examined the effect of the frequency dependence of the antenna system (in case of conjugate matching and nonconjugate matching) for the channel capacity. Based on the simulation results in the created and measured antenna system, the antennas were at a right angle to each other. At the two chosen different structures, we measured the antenna parameters and the channel capacity. In this paper, we present the results of the measurements which clearly confirm our simulations. We will point out the differences between the two antenna structures.

scholarly journals Computation of antenna pattern correlation and MIMO performance by means of surface current distribution and\\ spherical wave theory

2006 ◽  
Vol 4 ◽  
pp. 33-39 ◽  
Author(s):  
O. Klemp ◽  
G. Armbrecht ◽  
H. Eul
Keyword(s):  
Channel Capacity ◽  
Current Distribution ◽  
Spherical Wave ◽  
Surface Current ◽  
Wave Theory ◽  
Antenna Pattern ◽  
Mimo Channel ◽  
Computational Technique ◽  
Surface Current Distribution ◽  
Pattern Correlation

Abstract. In order to satisfy the stringent demand for an accurate prediction of MIMO channel capacity and diversity performance in wireless communications, more effective and suitable models that account for real antenna radiation behavior have to be taken into account. One of the main challenges is the accurate modeling of antenna correlation that is directly related to the amount of channel capacity or diversity gain which might be achieved in multi element antenna configurations. Therefore spherical wave theory in electromagnetics is a well known technique to express antenna far fields by means of a compact field expansion with a reduced number of unknowns that was recently applied to derive an analytical approach in the computation of antenna pattern correlation. In this paper we present a novel and efficient computational technique to determine antenna pattern correlation based on the evaluation of the surface current distribution by means of a spherical mode expansion.

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