• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.24 no.6
• /
• pp.744-750
• /
• 2020

In this paper, we propose a deep learning based transmit power control (TPC) scheme to improve the spectral and energy efficiency of wireless communication systems. In the wireless communication system, the positions of multiple transceivers follow a uniform distribution, and the performances of spectral and energy efficiency for the proposed TPC scheme are analyzed assuming the Nakagami fading channels. The proposed TPC scheme uses batch normalization to improve spectral and energy efficiency in deep learning based training. Through simulation, we compare the results of the spectral and energy efficiency of the proposed TPC scheme and the conventional one for various area sizes that limit the position range of the transceivers and Nakagami fading factors. Comparing the performance results, we verify that the proposed scheme provides better performance than the conventional one.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.15 no.2
• /
• pp.339-346
• /
• 2011

In the existing RF communication based WPAN environment, a lowering of battery span and interference problem among sensors occur because the value of output is set and transmitted steadily when the system on sensor is initialized. Therefore, this paper proposes a framework and a transmit method with low power which decreases the electricity consumption by properly controling transmit power of opponent by received signal strength indicator(RSSI) of each sensor. The system proposes a power-lowering method by controling transmit power properly by the transmit intensity of the connected sensor after being affected by the transmit intensity of surrounded sensor. The framework that is proposed in this paper includes data transmit module, transmit power manager module, transmit power searching module, signal transmit module, and signal receiving module.

• Proceedings of the Korean Institute of Communication Sciences Conference
• /
• 1995.06a
• /
• pp.741-746
• /
• 1995

• Proceedings of the KIPE Conference
• /
• 2017.07a
• /
• pp.316-317
• /
• 2017

본 논문에서는 새로운 자기 공진형 무선 전력 전송 시스템을 제안한다. 송신부 2개를 배치하여 기존의 1 대 1 자기 공진보다 더욱 넓은 범위를 확보하여 실용성을 높이고자 한다. 동일한 송신부 2개를 배치하여 자기장의 세기를 높임으로써 수신부에 전송되는 전력의 크기 및 거리를 증대시킬 수 있다. 또한, 송 수신코일의 위치에 따라 서로 다른 출력 전력을 위상 제어를 통하여 다양한 범위의 일정한 전력을 제어할 수 있다. 이때 위상천이를 하지 않을 시에 고정된 입력 전류가 흐르게 된다. 하지만 위상천이, 즉 2개의 송신코일에서 전달하는 전류 조절을 시도함으로써 수신 측으로 전달하여 일정한 전력을 얻을 수 있었다. 실험을 통해, 기존의 방식보다 높은 성능을 가짐을 확인하였다.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.20 no.10
• /
• pp.1873-1880
• /
• 2016

Most of the energy used to operate a cellular network is consumed by a base station (BS), and reducing the transmission power of a BS is required for energy-efficient cellular networks. In this paper, a distributed transmit power control (TPC) algorithm is proposed based on the flocking model to improve the energy efficiency of a cellular network. Just as each bird in a flock attempts to match its velocity with the average velocity of adjacent birds, in the proposed algorithm each mobile station (MS) in a cell matches its rate with the average rate of the co-channel MSs in adjacent cells by controlling the transmit power of its serving BS. Simulation results show that the proposed TPC algorithm follows the same convergence properties as the flocking model and also effectively reduces the power consumption at the BSs while maintaining a low outage probability as the inter-cell interference increases. Consequently, it significantly improves the energy efficiency of a cellular network.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.34 no.1A
• /
• pp.27-33
• /
• 2009

This paper proposes transmit power control techniques with fading channel prediction scheme based on recurrent neural network for high-speed mobile communication systems. The operation result of recurrent neural network which is derived interpretively solves complexity problems of neural network circuit, and channel gain of multiple transmit antenna is derived with maximum ratio combining(MRC) by using the operation result, and this channel gain control transmit power of each antenna. simulation results show that proposed method has a outstanding performance compared to method that is not to be controlled power based on channel prediction. Most of legacy studies are for robust receive technique of fading signals or channel prediction of fading signals limited low-speed mobility, but in open loop Power control, proposed channel prediction method decrease system complexity with removal of fading effect in transmitter.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.11 no.2
• /
• pp.92-101
• /
• 2012

In this paper, we propose a distributed transmit power control algorithm for optimal end-to-end throughput in wireless multihop networks. Considering a solidarity property of link rates consisting of a multihop link and the fact that the multihop end-to-end throughput is determined by the minimum link rate, the proposed scheme controls the transmit power to make all link rates be equal and so maximizes the end-to-end throughput of multihop link. In addition, in the proposed scheme the transmit node calculates its transmit power autonomously in a distributed manner just through the information sharing with its neighbor nodes and so decreases the information sharing overhead. Simulation results show that the proposed scheme achieves significant improvements in terms of end-to-end throughput and power consumption compared with the conventional maximum equal power allocation scheme.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.34 no.7B
• /
• pp.677-685
• /
• 2009

There are a number of studies that propose transmission power control algorithms in wireless sensor networks. However, these algorithms have a lot of overhead in the initialization phase since a number of packets have to be transmitted to determine the optimal transmission power level. This paper proposes the transmission power control technique considering the shortest-path to minimize the hop-count without the occurrence of any power control messages. We applied the proposed technique on tree-based network component implemented on TinyOS. And we evaluated the performance including transmission energy and average network depth with 21 motes. Compared to before, the proposed technique reduces about 24.7% of the average electric current on transmitting. As a result of considering the shortest-path, the hop-count considering the shortest-path was about 41% less than a normal network.

• Proceedings of the KIPE Conference
• /
• 2014.11a
• /
• pp.3-4
• /
• 2014

무선전력전송 회로는 부하의 변동에 따라 출력값을 알맞게 제어해 줄 필요가 있는데 송신부와 수신부 회로는 분리되어 있으므로 제어루프 또한 분리되어야 한다. 기존에는 주로 통신방식이나 부하측 변조를 이용한 1차측 제어를 사용하였다. 하지만 통신을 이용하는 경우 가격이 비싸고 시스템이 복잡하며, 부하측 변조 방식은 제어회로의 반응이 느리다는 단점이 있다. 본 논문은 2.5W급 전계결합형 무선전력회로에 대하여 LED 광학링크를 이용해 송신부의 스위칭 주파수를 제어하는 회로를 제안한다. 이 회로는 수신부에 포토다이오드와 연산증폭기를 내장하여 부하에 추가적인 배터리전원 없이 저가로 우수한 성능의 제어기를 구성할 수 있으며, 그 성능을 하드웨어로 검증하였다.

• Proceedings of the KIEE Conference
• /
• 2006.07d
• /
• pp.1905-1906
• /
• 2006

VSAT(Very Small Aperture Terminal)는 일반 가정이나 기업에서 인공위성을 이용해 양방향 통신이 가능하도록 하는 초소형 위성통신장비로 통신 인프라가 갖춰지지 못한 산간 오지지역의 정보를 실시간으로 처리해야 하는 곳을 중심으로 최근 수요가 늘고 있다. 위성 통신용으로 Ku Band 대역의 주파수를 사용하여 데이터를 전송하는 경우에는 전파가 대기권을 통과할 때 강우에 의한 감쇠를 많이 받게 되며, 회선 품질에 매우 심각한 영향을 주게 된다. 이러한 신호감쇠에 대한 보상방법으로 비콘신호의 세기를 분석하여 전력을 제어하는 방법이 제시되고 있다. 본 연구에서는 VSAT 단말지구국의 송신전력에 비례하여 출력을 제어함으로써 데이터 전송환경의 변화에 따른 전파의 세기가 감쇠되는 것을 보상하도록 VSAT의 Outlink 수신레벨을 감시하여 정해진 방법에 의해 VSAT의 Tx Attenuation을 조정하여 안정적인 위성링크 상태를 보장하도록 하는 기능과 호출 및 Event 발생시간을 저장함으로 데이터의 검보정에 활용할 수 있는 기능을 갖는 VSAT 송신전력 제어기를 개발하였으며, 단말지구국에 설치하여 운영된 데이터를 분석하고자 한다.