Prediction of variation in MIMO channel capacity for the populated indoor environment using a Radar cross-section-based pedestrian model

In this study, the channel capacity of indoor multiple-input multiple-output ultra-wide band (MIMO-UWB) transmission for a smart antenna is described. A particle swarm optimiser (PSO) is used to synthesise the radiation pattern of the directional circular arc array to maximise the capacity performance in an indoor MIMO-UWB communication system. The UWB impulse responses of the indoor channel for any transmitter -receiver location are computed by applying shooting and bouncing ray/image techniques, inverse fast Fourier transform and Hermitian processing. By using the calculated frequency response, the capacity performance of the synthesised antenna pattern on an MIMO-UWB system can be computed. Based on the topography of the circular antenna array and the capacity formula, the array pattern synthesis problem can be reformulated into an optimisation problem and solved by the PSO algorithm. PSO optimisation is applied to a high-order non-linear optimisation problem. The novelties of our approach are not only choosing capacity as the cost function instead of the sidelobe level of the antenna pattern, but also considering the antenna feed length effect of each array element. The cost function for the problem is non-smooth and discontinuous with respect to the antenna pattern. It is difficult to solve by gradient methods, since the derivative is hard to derive. The strong point of the PSO algorithm is that it can find out the solution even if the performance index cannot be formulated by simple equations. The simulation results show that the synthesised antenna array pattern is effective to focus maximum gain on the line-of-sight path which scales as the number of array elements.

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“…If we assume that the transmitter has excited each separate channel with equal power, then (11) can be rewritten as…”

Section: Calculations Of Channel Capacitymentioning

confidence: 99%

Optimisation of channel capacity for multiple-input multiple-output smart antenna using a particle swarm optimiser

Chiu

Liao

2012

IET Communications

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“…The performance of MIMO systems can vary from one environment to another and from time to time in the same environment [3], [4]. For instance, environments with multipath propagation, such as urban locations with high building densities, are able to provide less correlated signals at each antenna of the receiver array of a 978-1-4244-9715-7/11/$26.00 ©2011 IEEE AusCTW 2011…”

Section: Mimo Channel Modelling Techniquesmentioning

confidence: 99%

Deterministic diffraction loss modelling for novel broadband communication in rural environments

Ratnayake

Ziri-Castro

Suzuki

et al. 2011

2011 Australian Communications Theory Workshop

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This paper presents a deterministic modelling approach to predict diffraction loss for an innovative Multi-UserSingle-Antenna (MUSA) MIMO technology, proposed for rural Australian environments. In order to calculate diffraction loss, six receivers have been considered around an access point in a selected rural environment. Generated terrain profiles for six receivers are presented in this paper. Simulation results using classical diffraction models and diffraction theory are also presented by accounting the rural Australian terrain data. Results show that in an area of 900 m by 900 m surrounding the receivers, path loss due to diffraction can range between 5 dB and 35 dB. Diffraction loss maps can contribute to determine the optimal location for receivers of MUSA-MIMO systems in rural areas.

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“…The performance of MIMO systems can vary from one environment to another and from time to time in the same environment [17], [22]. Therefore, accurate characterization and modelling of MIMO channels in different scenarios and environments (such as Urban, Rural, Indoor and Outdoor) is vital when integrating MIMO systems into real world applications.…”

Section: A Time Varying Mimo Channel Modelsmentioning

confidence: 99%

Efficient wireless broadband communications for rural Australia

Ratnayake

Atapattu

Ziri-Castro

et al. 2010

2010 Electromagnetic Compatibility Symposium - Melbourne

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This paper discusses how internet services can be brought one step closer to the rural dispersed communities by improving wireless broadband communications in those areas.To accomplish this objective we describe the use of an innovative Multi-User-Single-Antenna for MIMO (MUSA-MIMO) technology using the spectrum currently allocated to analogue TV. MUSA-MIMO technology can be considered as a special case of MIMO technology, which is beneficial when provisioning reliable and high-speed communication channels. This paper describes channel modelling techniques to characterise the MUSA-MIMO system allowing an effective deployment of this technology. Particularly, it describes the development of a novel MUSA-MIMO channel model that takes into account temporal variations in the rural wireless environment. This can be considered as a novel approach tailor-maid to rural Australia for provisioning efficient wireless broadband communications.

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Prediction of variation in MIMO channel capacity for the populated indoor environment using a Radar cross-section-based pedestrian model

Cited by 43 publications

References 24 publications

Optimisation of channel capacity for multiple-input multiple-output smart antenna using a particle swarm optimiser

Optimisation of channel capacity for multiple-input multiple-output smart antenna using a particle swarm optimiser

Deterministic diffraction loss modelling for novel broadband communication in rural environments

Efficient wireless broadband communications for rural Australia

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