2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers 2009
DOI: 10.1109/acssc.2009.5469848
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Throughput and capacity of MIMO WiMAX

Abstract: Abstract-In this work, we present physical layer throughput measurement results of a WiMAX link implemented according to IEEE 802.16-2004. The measurements were carried out in an alpine and an urban scenario using the Vienna MIMO Testbed. We compare the measured throughput to three different theoretical bounds: 1) the channel capacity, 2) the mutual information, and 3) a so-called "achievable throughput" which takes inherent system losses into account. Furthermore, the impact of different channel codes and cha… Show more

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Cited by 9 publications
(5 citation statements)
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References 26 publications
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“…The results of such field trials are usually throughput values for a specific receive signal strength. No comparisons of actually measured data throughput values with appropriate theoretical bounds could be found in the literature (except results published by us showing the throughput of MIMO WiMAX over transmit power [45,47,48]). Figure 1 shows an abstract model which can be used to simulate the average throughput performance of a radio transmission in Matlab: A Monte Carlo simulation could work as follows: 1) Complex-valued baseband data is created from random symbols in the block named "TX".…”
Section: A On Antenna Spacingmentioning
confidence: 95%
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“…The results of such field trials are usually throughput values for a specific receive signal strength. No comparisons of actually measured data throughput values with appropriate theoretical bounds could be found in the literature (except results published by us showing the throughput of MIMO WiMAX over transmit power [45,47,48]). Figure 1 shows an abstract model which can be used to simulate the average throughput performance of a radio transmission in Matlab: A Monte Carlo simulation could work as follows: 1) Complex-valued baseband data is created from random symbols in the block named "TX".…”
Section: A On Antenna Spacingmentioning
confidence: 95%
“…4) The above procedure is repeated for different transmission schemes and antenna configurations. Measuring the performance of a mobile communication system can be carried out in a very similar way by "simply" replacing the channel with some real hardware (in our case, the Vienna MIMO Testbed [22,45,[48][49][50]), transmitting the data in a realistic scenario over a wireless channel and altering the channel by moving the RX antennas: In contrast to simulations, one has to carefully note that the following differences arise:…”
Section: A On Antenna Spacingmentioning
confidence: 99%
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“…Diversity is also adversely affected by CFO.Introduction of real MIMO-WiMAX platform to simulate space, time and frequency selective fading conditions and used this platform to simulate Space-Time Codes (STC), Space-Frequency Codes (SFC) and Space-Time-Frequency Codes (STFC) where STFC showed multiplicity gain compared to STC and SFC [9]. Downlink performance of two full-rate STC's of IEEE 802.16e i.e.Matrix B and Matrix C which showed Matrix c has long and complex decoding and least used in current WiMAX system [10]. Using multiple antenna options and comparing their performance we got same spectral efficiency,Matrix A perform better than Matrix B and throughput is maximized by combining MIMO with adaptive modulation and coding.…”
Section: Overview Of Mimo Techniquesmentioning
confidence: 99%
“…An extension of this testbed [60] was the fruit of the collaboration between the Austrian and the GTEC groups. Another relevant example of this collaboration is the experimental validation of an Adaptive Modulation and Coding (AMC) scheme for MIMO WiMAX systems [61].…”
Section: Off-line Prototypingmentioning
confidence: 99%