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Adaptive Modulation Systems for Predicted Wireless Channels

S. Falahati, A. Svensson, T. Ekman, M. Sternad
2004 IEEE Transactions on Communications  
We study the optimum design of an adaptive modulation scheme based on uncoded M-QAM modulation assisted by channel prediction for the flat Rayleigh fading channel.  ...  The use of channel power prediction will improve the performance of the link adaptation.  ...  In this example, the adaptive modulation systems are designed under the assumption of perfect channel prediction.  ... 
doi:10.1109/tcomm.2003.822715 fatcat:ci2zo7fo3ncuhbrdkxbbpjlehq

Adaptive modulation systems for predicted wireless channels

S. Falahati, A. Svensson, M. Sternad, T. Ekman
GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489)  
We study the optimum design of an adaptive modulation scheme based on uncoded M-QAM modulation assisted by channel prediction for the flat Rayleigh fading channel.  ...  The use of channel power prediction will improve the performance of the link adaptation.  ...  In this example, the adaptive modulation systems are designed under the assumption of perfect channel prediction.  ... 
doi:10.1109/glocom.2003.1258261 dblp:conf/globecom/FalahatiSS003 fatcat:34l6g3ve6nc2ng4oxetjpw6u7i

Performance Evaluation of Adaptive Modulation Based MC-CDMA System

Iftekhar Alam, Vikas Srivastva, Arun Prakash, Rajeev Tripathi, A. K. Shankhwar
2013 Wireless Engineering and Technology  
In this paper, adaptive modulation based M-ary QAM, M-PSK and M-ary CPM systems applied to a MC-CDMA system in Rayleigh fading channel environment have been investigated and BER performances of all these  ...  Adaptive modulation, in conjunction with MC-CDMA transmission system is very assuring way to increase data rate.  ...  Adaptive Modulation Systems for Predicted Wireless Channel Sorour Falahati and Arne Svensson have studied an optimum design for an adaptive modulation technique based on encoded M-QAM, assisted with channel  ... 
doi:10.4236/wet.2013.41008 fatcat:4rfomksonvhr7hww5opdckm6ru

Transport Protocol Performance over 4G Links: Emulation Methodology and Results

Stefan Alfredsson, Anna Brunstrom, Mikael Sternad
2006 2006 3rd International Symposium on Wireless Communication Systems  
The impact of link layer ARQ persistency, adaptive modulation, prediction errors and simple scheduling are all considered.  ...  This paper presents a wireless link and network emulator for the "Wireless IP" 4G system proposal from Uppsala University and partners.  ...  ACKNOWLEDGEMENTS The Wireless IP project is supported by SSF, the Swedish Foundation for Strategic Research. The first author was partly sponsored by the Swedish graduate school PCC++, funded by SSF.  ... 
doi:10.1109/iswcs.2006.4362313 fatcat:mftn6vccg5bttoqcobzwyadfpu

Improving BER and data throughput using adaptive modulation level MC-CDMA technique in underwater wireless communication

Jaya. T, P Vijayalakshmi, V Rajendran
2018 International Journal of Engineering & Technology  
It adapts the modulation scheme according to the present channel conditions in the underwater. The performance of the proposed system improves the Data Throughput and Bit Error Rate.  ...  The existing method is adaptive modulation based OFDM system. This method has low spectral efficiency, however, each symbol is modulated with different carriers.  ...  Rajendran, Head of Department of Electronics and Communication Engineering, Vels University for his good counsel, encouragement, valuable suggestions and support rendered at all times during my research  ... 
doi:10.14419/ijet.v7i2.33.14173 fatcat:zrm3qeguefegxfdfdgcnirkftq

Maritime Wireless Data Communications of Predictive Frequency Hopping Technique

Sang-Hyun Bae, Kwang-Ok Lee, Bong-Seog Jang
2012 Journal of the Chosun Natural Science  
In this paper, For 4th generation wireless communication systems, we propose a method to predict FH patterns in FH-OFDMA systems. OFDM is recognized as a promising modulation technique.  ...  Simulation study shows that the predictive FH method is more accurately predict FH sequences than the random or simple adaptive FH methods.  ...  The employment of high modulation scheme for sub-carriers with large channel gain can increase the spectral efficiency of the overall system.  ... 
doi:10.13160/ricns.2012.5.3.182 fatcat:htr6phqyavf2hla5fhie7r7jui

Cross-layer analysis of TCP performance in a 4G system

Stefan Alfredsson, Anna Brunstrom, Mikael Sternad
2007 2007 15th International Conference on Software, Telecommunications and Computer Networks  
The aspects investigated are the impact of channel prediction errors, channel scheduling, delay, and adaptive modulation switch level, on TCP performance.  ...  This paper presents results from an experimental study of TCP in a wireless 4G evaluation system.  ...  The Wireless IP evaluation system is conceived as an all-IP system intended for Internet traffic.  ... 
doi:10.1109/softcom.2007.4446071 fatcat:zueiiv5hnncmznml37ytgr5aba

Channel Prediction Heuristics for Adaptive Modulation in WLAN

Ana Aguiar, Adam Wolisz
2007 2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring  
In this paper we use WLAN measurement traces for the simulative evaluation of the influence of channel prediction errors in the performance of a threshold-based adaptive modulation scheme, considering  ...  Channel-adaptive techniques increase the efficiency of wireless communications, as they are efficient in coping with the quality variation of the wireless channels.  ...  CONCLUSIONS In this paper we present a study of the influence of prediction errors of heuristics for wireless channel prediction in the performance of a threshold-based adaptive modulation scheme, and  ... 
doi:10.1109/vetecs.2007.232 dblp:conf/vtc/AguiarW07 fatcat:wpy4eanpevczjjftn4snhnaf3i

Adaptive modulation and MIMO coding for broadband wireless data networks

S. Catreux, V. Erceg, D. Gesbert, R.W. Heath
2002 IEEE Communications Magazine  
Link adaptation techniques, where the modulation, coding rate, and/or other signal transmission parameters are dynamically adapted to the changing channel conditions, have recently emerged as powerful  ...  tools for increasing the data rate and spectral efficiency of wireless datacentric networks.  ...  His research interests include radio propagation and channel characterization, capacity and coverage prediction of cellular systems, and MIMO wireless systems. ROBERT W. HEATH JR.  ... 
doi:10.1109/mcom.2002.1007416 fatcat:c7ugdk353zes3ljkglg4m3xizy

REVIEW OF VARIOUS ADAPTIVE MODULATION AND CODING TECHNIQUES IN WIRELESS NETWORK

Lily Mishra .
2014 International Journal of Research in Engineering and Technology  
Adaptive modulation and coding (AMC) is a method which adapts its transmitting parameters according to the channel state and is used in various modern wireless communications to maximize spectrum efficiency  ...  One of the driving strengths of AMC is the Signal-to-Noise Ratio (SNR) estimation and feedback channel for adaptation.  ...  Patwardhan for her invaluable support throughout the work.  ... 
doi:10.15623/ijret.2014.0303099 fatcat:j5z4shhx3zcpbph47y4qgfzmp4

How Accurate Channel Prediction Needs to be for Transmit-Beamforming With Adaptive Modulation Over Rayleigh MIMO Channels?

S. Zhou, G.B. Giannakis
2004 IEEE Transactions on Wireless Communications  
Adaptive modulation improves the system throughput considerably by matching transmitter parameters to time-varying wireless fading channels.  ...  We then analyze the impact of the channel prediction error on the bit error rate performance of a transmit-beamformer with adaptive modulation that treats the predicted channels as perfect.  ...  Holm, for providing the preprint of [24] .  ... 
doi:10.1109/twc.2004.830842 fatcat:r6kgyscycrc45px7w3z6re3wha

Feedback Constraints for Adaptive Transmission

A.E. Ekpenyong, Yih-Fang Huang
2007 IEEE Signal Processing Magazine  
His research interests include adaptive transmission techniques and signal processing for communications. He is a Member of the IEEE.  ...  Since January 2006, he has been employed as a systems engineer at the San Diego Wireless Center, Texas Instruments, San Diego, CA 92121.  ...  In [25] , the impact of feedback error and feedback delay is shown for an adaptive modulation system.  ... 
doi:10.1109/msp.2007.361603 fatcat:wyije6w3wrcjhbqv35z376xdzq

Adaptive coding for time-varying channels using outdated fading estimates

D.L. Goeckel
1999 IEEE Transactions on Communications  
The design of uncoded adaptive quadrature amplitude modulation (QAM) systems is considered first, and it demonstrates the need to consider the channel variation in system design.  ...  The main goal of this paper is to employ this characterization of the effects of the channel variation to design adaptive signaling schemes that are effective for the time-varying channel.  ...  Adaptive Signaling for Fading Channels T HE goal of wireless communication systems is to match the throughput of their wired counterparts.  ... 
doi:10.1109/26.771341 fatcat:c2jk2anoajdslawfobor6bvodm

Interference avoidance via adaptive wavelet packet modulation in wireless communication systems

Hui-Ling Lu, P.K. Menon
2010 Proceedings of the IEEE 2010 National Aerospace & Electronics Conference  
This paper addresses the problem of adaptive modulation/demodulation scheme in the presence of interferences for wireless communication systems.  ...  We developed an adaptive modulation/demodulation scheme which modifies users' signature waveforms by maximizing the signal to interference ratio based on wavelet packet analysis and the state-of-art interference  ...  Ken Sienski at Red Rapids for loaning us the WaveRunner Plus PCI digital transceiver and for providing the technical support.  ... 
doi:10.1109/naecon.2010.5712961 fatcat:rldlkhu6sfdulaylszdxmv7csu

Artificial Intelligence for 5G Wireless Systems: Opportunities, Challenges, and Future Research Directions [article]

Youness Arjoune, Saleh Faruque
2020 arXiv   pre-print
In this paper, we provide an in-depth review of AI for 5G wireless communication systems.  ...  for leveraging AI in 5G wireless communications.  ...  Deep learning can be a good alternative for interference management, spectrum management, multi-path usage, link adaptation, multi-channel access, and traffic congestion.  ... 
arXiv:2009.04943v1 fatcat:noedzavffng6fo35zzbax3bfsa
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