Design and prototype development of MIMO-OFDM for next generation wireless LAN

Yu, Heejung; Kim, Myung-Soon; Choi, Eun-Young; Jeon, Taehyun; Lee, Sok-Kyu

doi:10.1109/tce.2005.1561835

Cited by 21 publications

(3 citation statements)

References 6 publications

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“…To avoid this, a training symbol 14 with four identical quarters where the third and fourth quarters are negative of the first and second quarters is used. The timing metric does not reach a plateau 8 and gives a clear peak for frame detection.…”

Section: Literature Surveymentioning

confidence: 95%

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Design and evaluation of space‐time coded multiple input multiple output‐orthogonal frequency division multiplexing physical layer

Kavadi,

Gangapatnam,

Swaminathan

2023

Int J Communication

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SummaryTwo fundamental aspects of wireless communication, which make it challenging and interesting, are fading and interference. Multiple input multiple output (MIMO) and orthogonal frequency division multiplexing (OFDM) techniques when utilized together effectively combat fading and interference thereby achieving the requirement of high data rate and high performance. In this paper, a 2 × 1 MIMO‐OFDM baseband model of the physical layer according to IEEE 802.16.1 standard employing 256 subcarriers capable of transmitting 192 Mbps in a 21‐MHz bandwidth frequency selective fading channel is designed. All essential blocks of the communication system like channel coding, modulation, time synchronization, frequency synchronization, channel estimation, residual carrier frequency offset (CFO) estimation, and channel decoding are covered at the algorithm level. A two‐step time synchronization method is used in this work to avoid any ambiguity in frame detection. A long preamble, consisting of three short preambles, is designed to aid in time synchronization, frequency synchronization, and channel estimation. To evaluate the performance of the proposed design, simulations were carried out in MATLAB‐SIMULINK.

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Section: Literature Surveymentioning

confidence: 95%

“…The results showed doubling of the system throughput compared to a single antenna OFDM system. Heejung et al 8 implemented a MIMO‐OFDM prototype system on Field Programmable Gate Arrays (FPGA). A next generation WLAN system, using dual band BICM MIMO‐OFDM scheme, which can achieve 216 Mbps with 64 QAM has been proposed.…”

Section: Literature Surveymentioning

confidence: 99%

Design and evaluation of space‐time coded multiple input multiple output‐orthogonal frequency division multiplexing physical layer

Kavadi,

Gangapatnam,

Swaminathan

2023

Int J Communication

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“…For the signal processing cluster (yellow color) we find relations that indicates for intance that MIMO is supported by OFDM [146,148,[1464][1465][1466] and OFDM is supported by FFT implementations [538,540,1467,1468]. The FFT implementations are supported by CORDIC [531][532][533][534] and also are designed as low power implementations [532,1469].…”

Section: Applications Mappingmentioning

confidence: 99%

Field Programmable Gate Array Applications—A Scientometric Review

2019

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Field Programmable Gate Array (FPGA) is a general purpose programmable logic device that can be configured by a customer after manufacturing to perform from a simple logic gate operations to complex systems on chip or even artificial intelligence systems. Scientific publications related to FPGA started in 1992 and, up to now, we found more than 70,000 documents in the two leading scientific databases (Scopus and Clarivative Web of Science). These publications show the vast range of applications based on FPGAs, from the new mechanism that enables the magnetic suspension system for the kilogram redefinition, to the Mars rovers’ navigation systems. This paper reviews the top FPGAs’ applications by a scientometric analysis in ScientoPy, covering publications related to FPGAs from 1992 to 2018. Here we found the top 150 applications that we divided into the following categories: digital control, communication interfaces, networking, computer security, cryptography techniques, machine learning, digital signal processing, image and video processing, big data, computer algorithms and other applications. Also, we present an evolution and trend analysis of the related applications.

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Degradation of the MIMO channel capacity due to additional noises of amplifiers

Uthansakul

2008

Int J Communication

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SUMMARYIt is theoretically well known that a multiple input multiple output (MIMO) system can offer higher channel capacity than a conventional wireless system. The MIMO capacity is increased as a function of signal-to-noise ratio (SNR) and a number of antenna elements at both the transmitter and receiver. To realize MIMO capability in practical use, the implementation of all electronic devices is necessary to be considered. Amplifiers become the most common devices assembled at the transmitter and receiver with the purpose of overcoming the power loss in the wireless channel. High power amplifier (HPA) and low noise amplifier (LNA) are the special types of amplifiers that are compulsory for the transmitter and receiver, respectively. Both devices have the same function to provide the reliable power gains while adding as little noise as possible. For a MIMO system, the channel capacity sensitively grows as a function of SNR. Therefore, the changes in SNR due to HPA and LNA definitely degrade the system capacity. In this paper, the degradation due to both devices is investigated by taking the gain and noise figure of these amplifiers into account. The new formula of MIMO channel capacity including amplifier characteristics is originally proposed. The results indicate the remarkable consideration on using amplifiers as they may degrade the capacity up to 26%. This can be the guideline for MIMO researchers to spare the capacity margin caused by the additional noises of amplifiers.

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Design and prototype development of MIMO-OFDM for next generation wireless LAN

Cited by 21 publications

References 6 publications

Design and evaluation of space‐time coded multiple input multiple output‐orthogonal frequency division multiplexing physical layer

Design and evaluation of space‐time coded multiple input multiple output‐orthogonal frequency division multiplexing physical layer

Field Programmable Gate Array Applications—A Scientometric Review

Degradation of the MIMO channel capacity due to additional noises of amplifiers

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