• Title/Summary/Keyword: Channel Sensing

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Holistic Joint Optimal Cooperative Spectrum Sensing and Transmission Based on Cooperative Communication in Cognitive Radio

  • Zhong, Weizhi;Chen, Kunqi;Liu, Xin;Zhou, Jianjiang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.3
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    • pp.1301-1318
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    • 2017
  • In order to utilize the licensed channel of cognitive radio (CR) when the primary user (PU) is detected busy, a benefit-exchange access mode based on cooperative communication is proposed to allow secondary user (SU) to access the busy channel through giving assistance to PU's communication in exchange for some transmission bandwidth. A holistic joint optimization problem is formulated to maximize the total throughput of CR system through jointly optimizing the parameters of cooperative spectrum sensing (CSS), including the local sensing time, the pre-configured sensing decision threshold, the forward power of cooperative communication, and the bandwidth and transmission power allocated to SUs in benefit-exchange access mode and traditional access mode, respectively. To solve this complex problem, a combination of bi-level optimization, interior-point optimization and exhaustive optimization is proposed. Simulation results show that, compared with the tradition throughput maximizing model (TTMM), the proposed holistic joint optimization model (HJOM) can make use of the channel effectively even if PU is busy, and the total throughput of CR obtains a considerable improvement by HJOM.

Spectrum Sensing in a Cognitive Body Area Network: Detection of a Bonded Channel in the MICS Band

  • Ahn, Chun-Su;Choi, Jae-Hoon;Kim, Sun-Woo
    • Journal of electromagnetic engineering and science
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    • v.12 no.1
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    • pp.32-36
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    • 2012
  • In this paper, we present a novel algorithm for detecting a bonded channel in a cognitive radio network where channel bonding is allowed for a higher data rate. The envelope detection algorithm is proposed to distinguish the center frequency of the received signal in order to determine whether the signal is transmitted by a primary user occupying a single channel or a secondary user occupying more than two channels when the channel is in use.

High Efficiency Multi-Channel LED Driver IC with Low Current-Balance Error Using Current-Mode Current Regulator

  • Yoon, Seong-Jin;Cho, Je-Kwang;Hwang, In-Chul
    • Journal of Electrical Engineering and Technology
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    • v.12 no.4
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    • pp.1593-1599
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    • 2017
  • This paper presents a multi-channel light-emitting diode (LED) driver IC with a current-mode current regulator. The proposed current regulator replaces resistors for current sensing with a sequentially controlled single current sensor and a single regulation loop for sensing and regulating all LED channel currents. This minimizes the current mismatch among the LED channels and increases voltage headroom or, equivalently, power efficiency. The proposed LED driver IC was fabricated in a $0.35-{\mu}m$ BCD 60-V high voltage process, and the chip area is $1.06mm^2$. The measured maximum power efficiency is 93.4 % from a 12-V input, and the inter-channel current error is smaller than as low as ${\pm}1.3%$ in overall operating region.

Green Cooperative Sensing Scheme in Heterogeneous Networks

  • Shen, Lifei;Liu, Jian;Tan, Xinxin;Wang, Lei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.2
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    • pp.550-565
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    • 2018
  • Cognitive radio technology is still the key technology of future mobile communication systems. Previous studies have focused on improving spectrum utilization and less energy consumption. In this paper, we propose an Overhead Reduced Scheme (ORS) for green cooperative spectrum sensing. Compared to traditional cooperative sensing scheme, ORS scheme divides the sensing time into three time slots and selects the best multi-mode user to report decisions. In consideration of reporting channel deviation, we derive closed-form expressions for detection probability and false alarm probability of ORS scheme based on Rayleigh fading channel. Simulation results show that ORS scheme can improve the perception accuracy while reducing the perceived delay and energy consumption in the process of perception, so as to realize the green communication.

RF Spectrum Cognition Technologies for IoT Wireless Sensors (IoT 무선 센서를 위한 RF 스펙트럼 인지 기술)

  • Yoon, Won-Sang;Han, Sang-Min
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.1
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    • pp.122-127
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    • 2016
  • In this paper, new spectrum sensing schemes based on analog/RF front-end processing are introduced for IoT wireless sensor networks. While the conventional approaches for wireless channel cognition have been issued in signal processing area, the RF spectrum cognition concept makes it feasible to achieve cognitive wireless sensor networks (C-WSNs). The spectrum cognition at RF processing is categorized as four kinds of sensing mechanisms. Two recent reseaches are described as promising candidates for the C-WSN. One senses spectrum by the frequency discriminating receiver, the other senses and detects from the frequency selective super-regenerative receiver. The introduced systems with simple and low-power RF architectures play dual roles of channel sensing and demodulation. simultaneously. Therefore, introduced spectrum sensing receivers can be one of the best candidates for IoT wireless sensor devices in C-WSN environments.

Block Sparse Signals Recovery Algorithm for Distributed Compressed Sensing Reconstruction

  • Chen, Xingyi;Zhang, Yujie;Qi, Rui
    • Journal of Information Processing Systems
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    • v.15 no.2
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    • pp.410-421
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    • 2019
  • Distributed compressed sensing (DCS) states that we can recover the sparse signals from very few linear measurements. Various studies about DCS have been carried out recently. In many practical applications, there is no prior information except for standard sparsity on signals. The typical example is the sparse signals have block-sparse structures whose non-zero coefficients occurring in clusters, while the cluster pattern is usually unavailable as the prior information. To discuss this issue, a new algorithm, called backtracking-based adaptive orthogonal matching pursuit for block distributed compressed sensing (DCSBBAOMP), is proposed. In contrast to existing block methods which consider the single-channel signal reconstruction, the DCSBBAOMP resorts to the multi-channel signals reconstruction. Moreover, this algorithm is an iterative approach, which consists of forward selection and backward removal stages in each iteration. An advantage of this method is that perfect reconstruction performance can be achieved without prior information on the block-sparsity structure. Numerical experiments are provided to illustrate the desirable performance of the proposed method.

Sparse Channel Estimation Based on Combined Measurements in OFDM Systems (OFDM 시스템에서 측정 벡터 결합을 이용한 채널 추정 방법)

  • Min, Byeongcheon;Park, Daeyoung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.41 no.1
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    • pp.1-11
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    • 2016
  • We investigate compressive sensing techniques to estimate sparse channel in Orthogonal Frequency Division Multiplexing(OFDM) systems. In the case of large channel delay spread, compressive sensing may not be applicable because it is affected by length of measurement vectors. In this paper, we increase length of measurement vector adding pilot information to OFDM data block. The increased measurement vector improves probability of finding path delay set and Mean Squared Error(MSE) performance. Simulation results show that signal recovery performance of a proposed scheme is better than conventional schemes.

Performance Analysis on Coexistence of Contention-based Heterogeneous Wireless Networks (경쟁기반 이기종 무선 통신망의 공존 성능 분석)

  • Park, Eun-Chan;Rim, Min-Joong
    • Journal of Internet Computing and Services
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    • v.12 no.4
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    • pp.1-14
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    • 2011
  • This paper analyzes the fairness and efficiency of channel sharing when heterogeneous wireless networks that have different transmission power and/or coverage coexist with the contention-based channel access protocol. First, we show that the existing CSMA (carrier sensing multiple access) protocol, that is a prevailing contention-based mechanism, results in significant unfairness of channel access because of (1) the asymmetric capability of carrier sensing and (2) the blindness of binary exponential backoff and link adaptation mechanisms to the interference-driven transmission failures. Next, we derive the feasible region of carrier sensing thresholds that assures spatial reuse and fair channel sharing simultaneously. Moreover, we establish an analytical model for per-system throughput and investigate the effect of contention window size and transmission rate on the fairness and efficiency of channel sharing. Finally, we compare the performance of several approaches for fair channel sharing via simulations under various network configurations.

Some interaction characteristics of IR radiation with ice crystals - New IR channel exploration

  • Xu, Lisheng;Ding, Jilie
    • Proceedings of the KSRS Conference
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    • 2002.10a
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    • pp.352-357
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    • 2002
  • Some interaction characteristics, i.e., light scattering characteristics, of infrared (IR) radiation with small ice crystals are investigated systematically by using the exact T-matrix approach. Some important facts are obtained, which reveal, especially, that the combination of both the 25 and 3.979$\mu$m together has some advantages and potential applications for remote sensing of cirrus and other ice clouds. A new far-IR channel at the wavelength of 25$\mu$m is proposed.

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Performance Analysis of Channel Sensing Mechanisms in IEEE 802.15.4 under IEEE 802.11b Interference (IEEE 802.11b 간섭하에서 IEEE 802.15.4의 채널 감지 방법에 따른 성능 분석)

  • Lee, Jong-Wook;Shin, Soo-Young;Choi, Jae-Young;Ha, Jae-Yeol;Kim, Nam-Hoon;Kwon, Wook-Hyun
    • Proceedings of the IEEK Conference
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    • 2006.06a
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    • pp.89-90
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    • 2006
  • In this paper, the performances of the IEEE 802.15.4 under the IEEE 802.11b interference are compared under two kinds of channel sensing mechanisms: carrier sense (CS) and energy detection (ED). For each channel sensing mechanism, the average transmission delay, and the throughput are used as performance measures.

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