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Implementation of a Simulator for Wireless Networks with Smart Antennas

Mr. Dennis Gauß (Bachelor Thesis)

Abstract

This bachelor thesis presents a simulator for wireless networks with smart antennas utilizing the multiple-input-multiple-output (MIMO) wireless system. In MIMO systems multiple antennas on the transmitter and the receiver side of a communication link are used to increase the network capacity. The signals transmitted by the sender antennas will be added constructively or destructively at the receiver. Thus it is possible to amplify the signals at a desired receiver while attenuating it at an undesired receiver by changing phase and delay of the single signals. This introduces the possibility of directed transmission instead of omnidirectional transmission as with conventional antennas. Consequently, the number of simultaneous spatial communication channels in a wireless network can be increased. Further, multiple spatially distributed receiver antennas allow for increased signal gains through diversity or higher data rates through spatial multiplexing. Since there are no theoretical papers on the impact of MIMO systems on the network capacity in large networks, a simulator for the communication in MIMO systems with arbitrary network sizes was implemented and will be presented. Goal of the simulation is to gather first findings on the behaviour of MIMO systems in large networks, especially considering the antenna formation and its impact on the network capacity. The implementation considers two different communication models. At first a simplified model in which signal patterns are represented by rectangles in means of faster calculation times. Secondly a more complex model in which signal patterns will actually have physically calculated signal patterns. Previously, theoretical foundations of wireless communication and smart antennas, especially the multiple-input-multiple-output systems will be described.

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