Academic literature on the topic 'ICI Cancellation'

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Journal articles on the topic "ICI Cancellation"

1

Hatagundi, Mrityunjaya, Ramakrishna Joshi, and Dr Priyatam Kumar. "ICI Cancellation using Self Cancellation Method." IJARCCE 5, no. 12 (December 30, 2016): 453–57. http://dx.doi.org/10.17148/ijarcce.2016.512103.

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2

Habib, S. E. D., Reem I. Sayed, Hisham M. Hamed, and Magdi Fikri. "New ICI Self Cancellation Scheme for OFDM Systems." International Journal of Computer and Communication Engineering 3, no. 1 (2014): 1–5. http://dx.doi.org/10.7763/ijcce.2014.v3.281.

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3

Gupta, Shilpi, Upena Dalal, and Vishnu Narayan Mishra. "Performance on ICI Self-Cancellation in FFT-OFDM and DCT-OFDM System." Journal of Function Spaces 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/854753.

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In orthogonal frequency division multiplexing (OFDM) system, the existence of frequency offset in AWGN channel affects the orthogonality among the subcarriers and consequently introduces the intercarrier interference (ICI). The paper investigates new ICI self-cancellation technique to mitigate the effect of ICI in FFT-OFDM and compares it to DCT based OFDM system in terms of bit error rate (BER) and carrier to interference ratio (CIR). The proposed method for group size three results in a significant 20 dB improved CIR in FFT-OFDM. In terms of BER, proposed ICI self-cancellation technique outperforms the other self-cancellation techniques in FFT-OFDM. Also, this paper investigates outperforming BER and CIR improvement by using DCT-OFDM without applying self-cancellation techniques, due to its energy compaction property.
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4

Ur Rehman, Naveed, Lei Zhang, Muhammad Zahid Hammad, and Emmanuel Anania Mwangosi. "ICI Cancellation in OFDM Systems by Frequency Offset Reduction." Applied Mechanics and Materials 513-517 (February 2014): 3987–91. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.3987.

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The rapid growth within the field of digital communication during the recent years expanded the need for high-speed data transmission to support a wide range of services such as: video, data and voice in wireless communication systems, etc. Orthogonal frequency division multiplexing (OFDM) and a multicarrier modulation scheme are employed to achieve the high data rates. Since OFDM is very much sensitive to carrier frequency offsets, which cause the Inter-carrier Interference (ICI) leads to mitigation of this ICI is necessary. The objectives of this paper are to, proposed an efficient ICI self-cancellation scheme to mitigate the effect of ICI on OFDM systems. For this purpose, a redundant data is transmitted onto adjacent sub-carriers such that the ICI between adjacent sub-carriers cancels out at the receiver side. One data symbol is modulated into a group of adjacent sub carriers with a group of weighting coefficients. At the receiver side, the received signals are linearly combined on these sub carriers with proposed coefficients. The residual ICI contained in the received signals can then be further reduced. This study provides significant carrier-to-interference power ratio (CIR) improvement, which has been studied theoretically and supported by simulations. Since no channel equalization is required to reduce ICI, so the proposed scheme doesnt increase the system complexity.
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Xu, Changqing, Xiaobo Zhang, and Wentao Song. "Novel ICI cancellation algorithm in OFDM systems." Journal of Electronics (China) 21, no. 1 (January 2004): 78–82. http://dx.doi.org/10.1007/bf02687801.

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6

Wadhwa, Jyoti. "Study of ICI Cancellation techniques in OFDM." IOSR Journal of Electronics and Communication Engineering 2, no. 5 (2012): 43–47. http://dx.doi.org/10.9790/2834-0254347.

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7

Maruta, Kazuki. "Dynamic Clustering and Coordinated User Scheduling for Cooperative Interference Cancellation on Ultra-High Density Distributed Antenna Systems." Entropy 20, no. 8 (August 19, 2018): 616. http://dx.doi.org/10.3390/e20080616.

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This paper proposes dynamic clustering and user scheduling for previously conceived inter-cluster interference cancellation scheme on ultra-high density distributed antenna system (UHD-DAS). UHD-DAS is composed of one central unit (CU) and densely deployed remote radio units (RUs) serving as small cell access points. It can enhance spatial spectral efficiency by alleviating traffic load imposed per radio unit; however, intenser small cell deployment revives the inter-cell interference (ICI) problem. Cell clustering, cooperation of multiple RUs, can mitigate ICI partially, whereas inter-cluster interference (ICLI) still limits its possible capacity. Simplified ICLI cancellation based on localized RU cooperation was previously proposed to mitigate interference globally. The resolved issue is that it required frequency reuse distance to fully obtain its interference cancellation ability. This paper introduces dynamic clustering with coordinated user scheduling to ensure reuse distance without extra frequency reuse. Joint dynamic clustering and ICLI cancellation can effectively work and almost reaches ideal performance as full cooperative spatial multiplexing transmission.
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Kongonda, Shyam Sunder, and Srinivasulu Tadishetty. "Mitigation of ICI Through Optimized SSR ICI Self Cancellation Scheme in OFDM." International Journal of Computer Engineering in Research Trends 3, no. 9 (September 1, 2016): 482. http://dx.doi.org/10.22362/ijcert/2016/v3/i9/48867.

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CHITRA, S., and N. KUMARATHARAN. "AN EFFICIENT CFO ESTIMATION AND ICI REDUCTION IN MC-CDMA SYSTEM THROUGH CONJUGATE WEIGHTED MUSIC BASED RPRCC SCHEME." Latin American Applied Research - An international journal 46, no. 4 (October 31, 2016): 153–59. http://dx.doi.org/10.52292/j.laar.2016.347.

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Multicarrier code division multiple access (MC-CDMA) is one of the most attractive method for future broadband wireless systems and long term evolution (LTE) standard. The performance of MC-CDMA systems is greatly deteriorated by carrier frequency offset (CFO) which is due to oscillator instability and Doppler shifts. CFO leads to loss of orthogonality between the subcarriers and introduces intercarrier interference (ICI). Among the numerous ICI cancellation techniques, the proposed receiver phase rotated conjugate cancellation (RPRCC) offers greater ICI reduction compared to other methods. The distributed nature of networks and concurrent transmission from multiple users in uplink, RPRCC needs multiple frequency offset estimation at the receiver. Multiple signal classification (MUSIC) algorithm is the best suited CFO estimation technique in multiuser environment. However the performance of MUSIC algorithm is inferior for closely spaced CFOs. To achieve precise CFO estimation and greater ICI reduction, RPRCC with conjugate weighted MUSIC based CFO estimation is proposed in this paper. The simulation results depict that the ICI power reduction capability and BER performance of the suggested method outperforms the conventional techniques in both properly and closely spaced CFOs.
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10

Kim, Kyung-Hwa, and Bangwon Seo. "Efficient ICI Self-Cancellation Scheme for OFDM Systems." ETRI Journal 36, no. 4 (August 1, 2014): 537–44. http://dx.doi.org/10.4218/etrij.14.0113.0747.

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Dissertations / Theses on the topic "ICI Cancellation"

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Li, Rui. "Iterative Receiver for MIMO-OFDM System with ICI Cancellation and Channel Estimation." Thesis, The University of Sydney, 2008. http://hdl.handle.net/2123/3544.

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As a multi-carrier modulation scheme, Orthogonal Frequency Division Multiplexing (OFDM) technique can achieve high data rate in frequency-selective fading channels by splitting a broadband signal into a number of narrowband signals over a number of subcarriers, where each subcarrier is more robust to multipath. The wireless communication system with multiple antennas at both the transmitter and receiver, known as multiple-input multiple-output (MIMO) system, achieves high capacity by transmitting independent information over different antennas simultaneously. The combination of OFDM with multiple antennas has been considered as one of most promising techniques for future wireless communication systems. The challenge in the detection of a space-time signal is to design a low-complexity detector, which can efficiently remove interference resulted from channel variations and approach the interference-free bound. The application of iterative parallel interference canceller (PIC) with joint detection and decoding has been a promising approach. However, the decision statistics of a linear PIC is biased toward the decision boundary after the first cancellation stage. In this thesis, we employ an iterative receiver with a decoder metric, which considerably reduces the bias effect in the second iteration, which is critical for the performance of the iterative algorithm. Channel state information is required in a MIMO-OFDM system signal detection at the receiver. Its accuracy directly affects the overall performance of MIMO-OFDM systems. In order to estimate the channel in high-delay-spread environments, pilot symbols should be inserted among subcarriers before transmission. To estimate the channel over all the subcarriers, various types of interpolators can be used. In this thesis, a linear interpolator and a trigonometric interpolator are compared. Then we propose a new interpolator called the multi-tap method, which has a much better system performance. In MIMO-OFDM systems, the time-varying fading channels can destroy the orthogonality of subcarriers. This causes serious intercarrier interference (ICI), thus leading to significant system performance degradation, which becomes more severe as the normalized Doppler frequency increases. In this thesis, we propose a low-complexity iterative receiver with joint frequency- domain ICI cancellation and pilot-assisted channel estimation to minimize the effect of time-varying fading channels. At the first stage of receiver, the interference between adjacent subcarriers is subtracted from received OFDM symbols. The parallel interference cancellation detection with decision statistics combining (DSC) is then performed to suppress the interference from other antennas. By restricting the interference to a limited number of neighboring subcarriers, the computational complexity of the proposed receiver can be significantly reduced. In order to construct the time variant channel matrix in the frequency domain, channel estimation is required. However, an accurate estimation requiring complete knowledge of channel time variations for each block, cannot be obtained. For time- varying frequency-selective fading channels, the placement of pilot tones also has a significant impact on the quality of the channel estimates. Under the assumption that channel variations can be approximated by a linear model, we can derive channel state information (CSI) in the frequency domain and estimate time-domain channel parameters. In this thesis, an iterative low-complexity channel estimation method is proposed to improve the system performance. Pilot symbols are inserted in the transmitted OFDM symbols to mitigate the effect of ICI and the channel estimates are used to update the results of both the frequency domain equalizer and the PICDSC detector in each iteration. The complexity of this algorithm can be reduced because the matrices are precalculated and stored in the receiver when the placement of pilots symbols is fixed in OFDM symbols before transmission. Finally, simulation results show that the proposed MIMO-OFDM iterative receiver can effectively mitigate the effect of ICI and approach the ICI-free performance over time-varying frequency-selective fading channels.
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2

Li, Rui. "Iterative Receiver for MIMO-OFDM System with ICI Cancellation and Channel Estimation." University of Sydney, 2008. http://hdl.handle.net/2123/3544.

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Master of Engineering by Research
As a multi-carrier modulation scheme, Orthogonal Frequency Division Multiplexing (OFDM) technique can achieve high data rate in frequency-selective fading channels by splitting a broadband signal into a number of narrowband signals over a number of subcarriers, where each subcarrier is more robust to multipath. The wireless communication system with multiple antennas at both the transmitter and receiver, known as multiple-input multiple-output (MIMO) system, achieves high capacity by transmitting independent information over different antennas simultaneously. The combination of OFDM with multiple antennas has been considered as one of most promising techniques for future wireless communication systems. The challenge in the detection of a space-time signal is to design a low-complexity detector, which can efficiently remove interference resulted from channel variations and approach the interference-free bound. The application of iterative parallel interference canceller (PIC) with joint detection and decoding has been a promising approach. However, the decision statistics of a linear PIC is biased toward the decision boundary after the first cancellation stage. In this thesis, we employ an iterative receiver with a decoder metric, which considerably reduces the bias effect in the second iteration, which is critical for the performance of the iterative algorithm. Channel state information is required in a MIMO-OFDM system signal detection at the receiver. Its accuracy directly affects the overall performance of MIMO-OFDM systems. In order to estimate the channel in high-delay-spread environments, pilot symbols should be inserted among subcarriers before transmission. To estimate the channel over all the subcarriers, various types of interpolators can be used. In this thesis, a linear interpolator and a trigonometric interpolator are compared. Then we propose a new interpolator called the multi-tap method, which has a much better system performance. In MIMO-OFDM systems, the time-varying fading channels can destroy the orthogonality of subcarriers. This causes serious intercarrier interference (ICI), thus leading to significant system performance degradation, which becomes more severe as the normalized Doppler frequency increases. In this thesis, we propose a low-complexity iterative receiver with joint frequency- domain ICI cancellation and pilot-assisted channel estimation to minimize the effect of time-varying fading channels. At the first stage of receiver, the interference between adjacent subcarriers is subtracted from received OFDM symbols. The parallel interference cancellation detection with decision statistics combining (DSC) is then performed to suppress the interference from other antennas. By restricting the interference to a limited number of neighboring subcarriers, the computational complexity of the proposed receiver can be significantly reduced. In order to construct the time variant channel matrix in the frequency domain, channel estimation is required. However, an accurate estimation requiring complete knowledge of channel time variations for each block, cannot be obtained. For time- varying frequency-selective fading channels, the placement of pilot tones also has a significant impact on the quality of the channel estimates. Under the assumption that channel variations can be approximated by a linear model, we can derive channel state information (CSI) in the frequency domain and estimate time-domain channel parameters. In this thesis, an iterative low-complexity channel estimation method is proposed to improve the system performance. Pilot symbols are inserted in the transmitted OFDM symbols to mitigate the effect of ICI and the channel estimates are used to update the results of both the frequency domain equalizer and the PICDSC detector in each iteration. The complexity of this algorithm can be reduced because the matrices are precalculated and stored in the receiver when the placement of pilots symbols is fixed in OFDM symbols before transmission. Finally, simulation results show that the proposed MIMO-OFDM iterative receiver can effectively mitigate the effect of ICI and approach the ICI-free performance over time-varying frequency-selective fading channels.
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3

Wu, Meng. "ICI Reduction Methods for MC-CDMA Systems." Wright State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=wright1222376028.

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Etiler, Burkay. "Comparison Of The Intercarrier Interference Cancellation Methods In Ofdm Systems." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/2/12608825/index.pdf.

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In OFDM systems carrier frequency offset is observed due to Doppler shift and transmitter-receiver frequency mismatches. This offset induces ICI (Intercarrier Interference). In this thesis, repeated data methods and pilot-aided carrier frequency offset(CFO) estimation methods and windowing techniques are used to mitigate the frequency offset problem and a performance comparison is made between these ICI cancellation techniques. Repeated data methods use only half of the bandwidth for information transmission to eliminate the ICI at the receiver. We have implemented repeated data methods including Self cancellation scheme and Symmetric Symbol Repetition (SSR) schemes to overcome ICI problem. We have also implemented Adjacent Conjugate Symbol Repetiton (ACSR) and Symmetric Conjugate Symbol Repetiton (SCSR) methods to mitigate both phase rotations and ICI. CFO estimation and correction methods generally use pilot sequences. We implemented the &ldquo
Conventional Pilots&rdquo
and &ldquo
Clustered Pilots&rdquo
pilot-aided CFO estimation techniques for ICI cancellation. Furthermore, we also implemented a new scheme by using the odd symmetry between pilot symbols. Nyquist windowing techniques apply windowing at the receiver side. We have implemented second order polynomial class of Nyquist windows and Nyquist window with Franks pulse used to mitigate ICI. These ICI cancellation methods are compared in AWGN and multipath Rayleigh fading channel models in terms of BER and carrier to interference ratio. It is shown that repeated data methods shows better performances than pilot-aided CFO estimation methods with a cost of increased bandwidth usage especially in high SNR&rsquo
s.
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Mustefa, Dinsefa, and Ermias Mebreku. "OFDM Systems Offset Estimation and Cancellation Using UKF and EKF." Thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-15524.

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Orthogonal Frequency Division Multiplexing (OFDM) is an efficient multi- carrier modulation scheme, which has been adopted for several wireless stan- dards. Systems employing this scheme at the physical layer are sensitive to frequency offsets and that causes Inter Carrier Interference (ICI) and degra- dation in overall system performance of OFDM systems. In this thesis work, an investigation on impairments of OFDM systems will be carried out. Anal- ysis of previous schemes for cancellation of the ICI will be done and a scheme for estimating and compensating the frequency offset based on Unscented Ka- man Filter (UKF) and Extended Kaman Filter (EKF) will be implemented. Analysis on how the UKF improves the Signal to Noise Ratio (SNR); and how well it tracks the frequency offset estimation under Additive White Gaussian Noise (AWGN) channel and flat fading Rayleigh channel will be carried on.
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Huang, Yu-Shun, and 黃裕舜. "A Novel ICI Self-Cancellation Scheme." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/w8csn4.

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碩士
國立臺北科技大學
電腦與通訊研究所
98
Here we bring up a novel intercarrier interference (ICI) self-cancellation scheme for OFDM systems, it’s coefficient pair is (1,-μ), and their loading subcarriers are kth and N-k-1th subcarrier, where N is the number of subcarriers. It has better carrier-to-interference-ratio (CIR) than all previous schemes by at least 1.7dB when normalized frequency offset is 0.5.
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7

Kuo, Chia-Yun, and 郭珈紜. "Successive ICI Cancellation in MIMO-OFDM Systems." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/70501349723159410930.

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碩士
國立交通大學
電信工程系所
93
Fast channel variation will destroy the orthogonality of subcarriers in OFDM systems and this will result in intercarrier interference (ICI). Minimum mean square error (MMSE) and successive ICI cancellation have been proposed to mitigate this problem in single-input single-output (SISO) OFDM systems. However, the performance of these methods greatly depends on the channel estimation. To obtain good estimation, a great amount of pilot tones are required and this will reduce the bandwidth utilization efficiency. In this thesis, we propose a recursive channel estimation and successive ICI cancellation for MIMO-OFDM systems. The main idea is to successively cancel ICI and perform channel re-estimation. In ICI canceling, all tones in MIMO-OFDM systems are jointly sorted. To reduce the computational complexity, we also employ a fast algorithm in the MMSE estimate. Simulations show that the proposed algorithm can greatly reduce the ICI effect in MIMO-OFDM systems operated in the fast channel variation environment.
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8

許文基. "Study on ICI Cancellation in Wireless OFDM Systems." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/85861288559093600370.

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碩士
中華大學
電機工程學系碩士班
87
A new transmission scheme, called the OFDM (Orthogonal Frequency Division Multiplexing) system, is proposed to combat the multi-path fading in wireless channel recently. The OFDM system overcome the intersymbol interference (ISI) due to delay spread by inserting a guard period (also called cyclic prefix) between neighbor symbols. Since the using of cyclic prefix will reduce the capability of transmission rate, the CP length should be kept within a reasonable length. However, if the CP length is shorter than the delay spread, the orthogonality among sub-channels will be destroyed, and an interchannel interference (ICI) will occur. In the thesis, we plan to evaluate the performance of using a decision feedback equalizer (DFE) structure to cancel both the ISI and ICI due to CP shorting. Three channel models are presented to simulate the different transmission environment. The relationship between the guard period and the ICI spectrum is first simulated and analyzed. Then an ICI canceller is used to cancel the induced ICI spectrum. To decrease the circuit complexity, we use SRA algorithm as the ICI canceller's weight update algorithm.
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9

Chou, Yi-chuan, and 周益川. "ICI Self-Cancellation in MISO-OFDM with Distributed Antenna." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/57748323274470845715.

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碩士
國立中山大學
通訊工程研究所
98
In this thesis, we investigate a wireless communications system with distributed transmit antennas. Under such system scenario, the received signal has multiple carrier frequency offsets (CFOs) since each transmitter has its own oscillator, leading to serious inter-carrier interference (ICI) at the receiver end. Therefore, an ICI self-cancellation scheme is proposed in this thesis, where two different relay nodes use different sub-carriers. When the signals from different relay nodes are combined at the destination node, the ICI self-cancellation can be achieved. In addition, the quality of the received signal can be further improved if the residual CFO can be properly compensated. Traditionally, the medium value of the various CFOs is taken for compensation because of its simplicity. However, a medium value does not result in the optimal performance. In this thesis, a close form expression of optimal CFO is derived to maximize the average signal to interference power ratio. It is shown that the optimal CFO compensation is a function of channel state and individual CFOs. Simulation experiments are conducted to investigate the performance of the proposed scheme. It is shown that the system bit error rate can be substantially improved when the CFO is less than 0.3 subcarrier spacing.
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10

Tsai, Chia-Hang, and 蔡嘉航. "Iterative Channel Estimation and ICI Cancellation for Mobile WiMAX Systems." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/g38wu6.

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碩士
國立交通大學
電信工程系所
95
Orthogonal Frequency Division Multiplexing (OFDM) is a popular technique in modern wireless communications. There are many systems adopting the OFDM technique, such as IEEE 802.11 a/g/n, IEEE 802.16, Digital Video Broadcasting, etc. On the other hand, mobile transmission is a trend in future wireless communications. For example, IEEE 802.16-2005 supports vehicle speed up to 120 km/hour. OFDM systems can be used efficiently in time invariant environments with one-tap equalizers. However, subcarriers are no longer orthogonal to each other in time-varying channels, and this causes the intercarrier interference (ICI) and degrades the system performance. To alleviate this problem, we propose an iterative ICI mitigation and time-varying channel estimation scheme, which can obtain the ICI information from the channel estimate using piece-wise linear or Taylor series approximate and then cancel it in parallel fashion. The proposed PIC structure and the overall iterative system structure designed are discussed in detail. Finally, we evaluate the performance of the proposed system under mobility using IEEE 802.16-2005 standard and confirm that it achieves good BER performance.
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Book chapters on the topic "ICI Cancellation"

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Cheng, Xilin, Liuqing Yang, and Xiang Cheng. "Effective ICI Cancellation for OFDM Transmission in RA-UAC." In Wireless Networks, 81–102. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33207-9_6.

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Won, Kyunghoon, Jun-Hee Jang, Se-bin Im, and Hyung-Jin Choi. "An Efficient ICI Cancellation Method for Cooperative STBC-OFDM Systems." In Computational Science and Its Applications – ICCSA 2010, 118–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12179-1_12.

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Boumediene, Fatima Zohra, Mohamed Tayebi, and Merahi Bouziani. "Comparative Study between ICI Self Cancellation and Symmetric Symbol Repetition." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 173–77. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11629-7_25.

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Sabir, Zeeshan, Syed Abdul Rehman Yousaf, M. Inayatullah Babar, and M. Arif Wahla. "Improved Joint ICI Cancellation and Error Correction for OFDM System." In Advanced Research on Electronic Commerce, Web Application, and Communication, 1–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20367-1_1.

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Mounika, N., M. Durga Rani, J. Lakshmi Narayana, and M. Naga Lakshmi Kalyani. "ICI Cancellation in OFDM Systems Under Stanford University Interim Channel Model." In Lecture Notes in Networks and Systems, 241–48. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8204-7_25.

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Yadav, Ravi Prakash, Ritesh Kumar Mishra, and Shipra Swati. "A Novel ICI Self-cancellation Scheme for Improving the Performance of OFDM System." In Advanced Computing, Networking and Informatics- Volume 2, 151–58. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07350-7_17.

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Chiu, Yi-Jen, Chien-Sheng Chen, and Ting-Wei Chang. "Channel Estimation and ISI/ICI Cancellation for MIMO-OFDM Systems with Insufficient Cyclic Prefix." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 1203–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02469-6_2.

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Stewart, V., C. F. N. Cowan, and S. Sezer. "Adaptive Echo Cancellation for Packet-Based Networks." In Telecommunications and Networking - ICT 2004, 516–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27824-5_70.

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La Foresta, Fabio, Nadia Mammone, and Francesco Carlo Morabito. "Artifact Cancellation from Electrocardiogram by Mixed Wavelet-ICA Filter." In Neural Nets, 78–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11731177_12.

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Rajesh, Varshini, Shivani Krishna Kompella, and A. R. Abdul Rajak. "Literature Survey for MIMO Systems and Interference Cancellation in MIMO." In ICT Systems and Sustainability, 1–9. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-5987-4_1.

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Conference papers on the topic "ICI Cancellation"

1

Vlachos, E., C. Mavrokefalidis, D. Ampeliotis, and K. Berberidis. "Regularized ICI Cancellation in V2V Communications." In the 16th International Conference. New York, New York, USA: ACM Press, 2015. http://dx.doi.org/10.1145/2797143.2797152.

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Zhu, Ze, Xiang Tang, and Jizhang Zuo. "Self-Cancellation Method of OFDM ICI." In 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2008. http://dx.doi.org/10.1109/wicom.2008.171.

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Miao-Wen Wen, Xiang Cheng, Xing Wei, Bo Ai, and Bing-Li Jiao. "A Novel Effective ICI Self-Cancellation Method." In 2011 IEEE Global Communications Conference (GLOBECOM 2011). IEEE, 2011. http://dx.doi.org/10.1109/glocom.2011.6133714.

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Li, Yuke, Miaowen Wen, Xiang Cheng, and Liu-Qing Yang. "Index Modulated OFDM with ICI Self-Cancellation." In 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring). IEEE, 2016. http://dx.doi.org/10.1109/vtcspring.2016.7504286.

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Yeh, Hen-Geul, and Kung Yao. "A parallel ICI cancellation technique for OFDM systems." In GLOBECOM 2012 - 2012 IEEE Global Communications Conference. IEEE, 2012. http://dx.doi.org/10.1109/glocom.2012.6503688.

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Shu-Ming Tseng, Yu-Chin Kuo, and Yueh-Teng Hsu. "Turbo ICI cancellation and LDPC decoding for OFDM systems." In 2008 International Conference on Advanced Technologies for Communications (ATC). IEEE, 2008. http://dx.doi.org/10.1109/atc.2008.4760609.

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Shi, Qiang, Yong Fang, and Min Wang. "A Novel ICI Self-Cancellation Scheme for OFDM Systems." In 2009 5th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2009. http://dx.doi.org/10.1109/wicom.2009.5302543.

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Yeh, Hen-Geul, Seok-Chul Sean Kwon, and Son Doan. "Poster: Space-Time-Polarization ICI Parallel Cancellation OFDM Systems." In 2018 IEEE Vehicular Networking Conference (VNC). IEEE, 2018. http://dx.doi.org/10.1109/vnc.2018.8628402.

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Zhang, Liang, Zhihong Hong, and Louis Thibault. "Iterative ICI estimation and cancellation for mobile OFDM systems." In 2010 25th Biennial Symposium on Communications. IEEE, 2010. http://dx.doi.org/10.1109/bsc.2010.5472915.

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Kumar, P. Vijaya, and N. Venkateswara Rao. "A Novel Method for ICI Cancellation in OFDM Systems." In 2018 Third International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT). IEEE, 2018. http://dx.doi.org/10.1109/iceeccot43722.2018.9001368.

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Reports on the topic "ICI Cancellation"

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Corral, Leonardo, Giulia Lotti, José Martínez Carrasco, and Camilo Pecha. Operational excellence: understanding project financial cancellations and its impact on the delivery of results. Inter-American Development Bank, January 2022. http://dx.doi.org/10.18235/0003952.

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Abstract:
The objectives of this analysis are twofold: (i) First, it aims to enhance our understanding of the role design and execution characteristics of IDB financed projects play in project success and effectiveness in delivering results. (ii) Second, it empirically explores which project characteristics are more likely to explain partial financial cancellations, which plays a key role on the delivery of results. Based on the knowledge gained, we identify specific measures that can be taken to enhance the likelihood of project success.
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