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A Joint Rate Control and AMC Algorithm for Adaptive Transmission Systems 被引量:1

A Joint Rate Control and AMC Algorithm for Adaptive Transmission Systems
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摘要 The traditional communication system is effectively designed for the worst-case channel state and it can not use the spectral efficiently over the time-varying multipath channel. In order to improve the spectral efficiency and ensure robust and spectrally-efficient transmission over the time-varying multipath channel,a joint rate control and adaptive modulation and coding ( AMC) algorithm for adaptive transmission systems is proposed in this paper. Firstly,the proposed algorithm can formulate a modulation and coding scheme ( MCS) switching table according to the offline simulation results and the target bit error rate ( BER) . Then,the optimal MCS is selected in MCS switching table according to the channel state information ( CSI) and then passes to the transmitter and receiver to implement. So the adaptive system which always uses the optimal MCS to transmit signals uses the spectral efficiently. The simulation results validate the proposed algorithm and show that under the premise of meeting the target BER,the adaptive system performing the proposed algorithm has a higher average spectral efficiency ( ASE) than that of the non-adaptive system. The traditional communication system is effectively designed for the worst-case channel state and it can not use the spectral efficiently over the time-varying multipath channel. In order to improve the spectral efficiency and ensure robust and spectrally-efficient transmission over the time-varying multipath channel, a joint rate control and adaptive modulation and coding (AMC) algorithm for adaptive transmission systems is proposed in this paper. Firstly, the proposed algorithm can formulate a modulation and coding scheme (MCS) switching table according to the offline simulation results and the target bit error rate (BER). Then, the optimal MCS is selected in MCS switching table according to the channel state information (CSI) and then passes to the transmitter and receiver to implement. So the adaptive system which always uses the optimal MCS to transmit signals uses the spectral efficiently. The simulation results validate the proposed algorithm and show that under the premise of meeting the target BER, the adaptive system performing the proposed algorithm has a higher average spectral efficiency (ASE) than that of the non-adaDfive system.
出处 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2013年第2期12-16,共5页 哈尔滨工业大学学报(英文版)
基金 Sponsored by the National Natural Science Foundation and Civil Aviation Administration of China(Grant No.61101122 and 61071104) the Science and Technology on Information Transmission and Dissemination in Communication Networks Laboratory(Grant No.ITD-U12004/K1260010)
关键词 adaptive modulation and coding average spectral efficiency adaptive transmission system modulation and coding scheme switching table adaptive modulation and coding average spectral efficiency adaptive transmission system modulation and coding scheme switching table
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  • 1Goldsmith A. Wireless Comnrunications. Cambridge: Cambridge University Press, 2005. 263 - 2M. 被引量:1
  • 2Furuskar A, Mazur S, Muller F, et al. EDGE: enhanced data rates for GSM and TDMAl136 evolution. IEEE Communications Magazine, 1999, 6 ( 3 ) : 56 - 66. 被引量:1
  • 3Nanda S, Balachandran K, Kumar S. Adaptation techniques in wireless packet data services. IEEE Communications Magazine, 2000,38(1): 54 -64. 被引量:1
  • 4Hayes J F. Adaptive feedback communications. IEEE Transactions on Communication Technology, 1968, 16 ( 1 ) : 29 - 34. 被引量:1
  • 5Goldsmith A J, Chua S G. Variable-rate variable-power MQAM for fading channels. IEEE Transactions on Communications, 1997, 45 ( 10): 1218 - 1230. 被引量:1
  • 6Gho G H, Kahn J M. Rate-adaptive modulation and coding for optical fiber transmission systems. IEEE Journal of Lightwave Technology, 2012, 30(12): 1818 -1828. 被引量:1
  • 7Li Peilong, Zhang Honghai, Zhao Baohua, et al. Scalable video multicast with adaptive modulation and coding in broadband wireless data systems. IEEE/ ACM Transactions on Networking, 2012, 20(1): 57 -68. 被引量:1
  • 8Clemente M C. Closed-form analysis of adaptive coded modulation over Rician shadowed fading channels. lET Electronics Letters, 2011 , 47 (3) : 217 - 218. 被引量:1
  • 9Kim T, Lim J T. Queuing analysis in a multiuser diversity system with adaptive modulation and coding scheme. IEEE Transactions on Vehicular Technology, 2011, 60 ( 1 ) : 338-342. 被引量:1
  • 10Djordjevic I B. Adaptive modulation and coding for freespace optical channels. IEEElOSA Journal of Optical Communications and Networking, 2010, 2(5): 221 -229. 被引量:1

同被引文献14

  • 1MITOLA J, MAGUIRE G. Cognitive radio : makingsoftware radios more personal [J]. IEEE PersonalCommunications Magazine, 1999, 6(4) : 13-18. 被引量:1
  • 2MITOLA J. Cognitive radio for flexible mobilemultimedia communications [C] //Proceedings of IEEEInternational Workshop on Mobile MultimediaCommunications'99. San Diego: IEEE, 1999 : 3-10. 被引量:1
  • 3RIESER C J. Biologically inspired cognitive radio enginemodel utilizing distributed genetic algorithm for secureand robust wireless communications and networking[D] . Blacksburg : Virginia Polytechnic Institute andState University, 2004 : 35-57. 被引量:1
  • 4RIESER C J,RONDEAU T W, BOSTIAN C W, et al.Cognitive radio testbed : further details and testing ofdistributed genetic algorithm based cognitive engine forprogrammable radios [C] //Proceedings of IEEEMilitary Communication Conference. Monterey: IEEE,2004: 1437-1443. 被引量:1
  • 5AYMAN A E,MAHAMOD I,MOHD A M A, et al.Development of a cognitive radio decision engine usingmulti-objective hybrid genetic algorithm [C]//Proceedings of the 2009 IEEE 9 th MalaysiaInternational Conference on Communications. KualaLumpur; IEEE, 2009 : 343-347. 被引量:1
  • 6WU Di, WANG Feng, YANG Shengyao. Cognitive radiodecision engine based on priori knowledge [C]//Proceedings of the 3rd International Symposium onParallel Architecture,Algorithm and Programming.Dalian: Conference Publishing Services ( CPS),2010:255-259. 被引量:1
  • 7KHEDR M, SHATILA H. A cognitive radio approach forWiMAX systems [C]//Proceedings of the 7th IEEE/ACS International Conference on Computer Systems andApplications. Rabat: IEEE, 2009 : 550-554. 被引量:1
  • 8EBERHARTR, KENNEDY J. A new optimizer usingparticle swarm theory [C] //Proceedings of the 6thIEEE International Symposium on Micro Machine andHuman Science. Piscataway: IEEE, 1995: 39-43. 被引量:1
  • 9KENNEDY J,EBERHART R. Particle swarm optimization[C]//Proceedings of IEEE International Conference onNeural Networks. Perth: IEEE,1995: 1942-1948. 被引量:1
  • 10KENNEDY J,EBERHART R. A discrete binaiy versionof the particle swarm algorithm [C]//Proceedings ofIEEE International Conference on ComputationalCybernetics and Simulation. Orlando: IEEE, 1997:4104-4108. 被引量:1

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