Adaptive modulation with constrained variable power for space-time coded MIMO systems
SUMMARYPractically, the maximum transmission power of transmission systems is limited. This power constraint causes the variable power control derived from no maximum power limitation suffering from performance degradation. In this paper, a constrained variable‐power adaptive M‐ary quadrature amplit...
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| Published in: | International journal of communication systems Vol. 27; no. 10; pp. 1637 - 1652 |
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| Format: | Journal Article |
| Language: | English |
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Chichester
Blackwell Publishing Ltd
01.10.2014
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| ISSN: | 1074-5351, 1099-1131 |
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| Abstract | SUMMARYPractically, the maximum transmission power of transmission systems is limited. This power constraint causes the variable power control derived from no maximum power limitation suffering from performance degradation. In this paper, a constrained variable‐power adaptive M‐ary quadrature amplitude modulation scheme for MIMO systems with space–time coding is developed. Convex optimization is used to derive the switching thresholds of the instantaneous signal‐to‐noise ratio for power control (PC) and adaptive modulation under the constraints of maximum power, average power, and target BER. In the derivation of the relation between modulation and power, the exact BER expression of binary phase shift keying modulation and a tight bound for higher order quadrature amplitude modulation are used to make the PC scheme fulfill the target BER even at low signal‐to‐noise ratio where the previous PC schemes fail to meet the target BER. Numerical results show that the derived control scheme under the power constraints can obtain the spectrum efficiency and BER performance close to the previous control scheme without power limitation. Moreover, it can satisfy the requirements of power limitation and target BER and can effectively avoid the excessive power consumption of previous PC scheme in poor channel condition. Copyright © 2012 John Wiley & Sons, Ltd.
A constrained variable‐power adaptive modulation (AM) scheme for space‐time coded MIMO systems is developed. Convex optimization is used to derive the switching thresholds of the signal‐to‐noise ratio for power control (PC) and AM under the constraints of maximum power, average power, and target BER. Numerical results show that the derived PC can obtain the spectrum efficiency and BER performance close to the previous control scheme without power limitation. Moreover, it satisfies the requirements of power limitation and target BER. |
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| AbstractList | Practically, the maximum transmission power of transmission systems is limited. This power constraint causes the variable power control derived from no maximum power limitation suffering from performance degradation. In this paper, a constrained variable‐power adaptive M ‐ary quadrature amplitude modulation scheme for MIMO systems with space–time coding is developed. Convex optimization is used to derive the switching thresholds of the instantaneous signal‐to‐noise ratio for power control (PC) and adaptive modulation under the constraints of maximum power, average power, and target BER. In the derivation of the relation between modulation and power, the exact BER expression of binary phase shift keying modulation and a tight bound for higher order quadrature amplitude modulation are used to make the PC scheme fulfill the target BER even at low signal‐to‐noise ratio where the previous PC schemes fail to meet the target BER. Numerical results show that the derived control scheme under the power constraints can obtain the spectrum efficiency and BER performance close to the previous control scheme without power limitation. Moreover, it can satisfy the requirements of power limitation and target BER and can effectively avoid the excessive power consumption of previous PC scheme in poor channel condition. Copyright © 2012 John Wiley & Sons, Ltd. SUMMARYPractically, the maximum transmission power of transmission systems is limited. This power constraint causes the variable power control derived from no maximum power limitation suffering from performance degradation. In this paper, a constrained variable‐power adaptive M‐ary quadrature amplitude modulation scheme for MIMO systems with space–time coding is developed. Convex optimization is used to derive the switching thresholds of the instantaneous signal‐to‐noise ratio for power control (PC) and adaptive modulation under the constraints of maximum power, average power, and target BER. In the derivation of the relation between modulation and power, the exact BER expression of binary phase shift keying modulation and a tight bound for higher order quadrature amplitude modulation are used to make the PC scheme fulfill the target BER even at low signal‐to‐noise ratio where the previous PC schemes fail to meet the target BER. Numerical results show that the derived control scheme under the power constraints can obtain the spectrum efficiency and BER performance close to the previous control scheme without power limitation. Moreover, it can satisfy the requirements of power limitation and target BER and can effectively avoid the excessive power consumption of previous PC scheme in poor channel condition. Copyright © 2012 John Wiley & Sons, Ltd. A constrained variable‐power adaptive modulation (AM) scheme for space‐time coded MIMO systems is developed. Convex optimization is used to derive the switching thresholds of the signal‐to‐noise ratio for power control (PC) and AM under the constraints of maximum power, average power, and target BER. Numerical results show that the derived PC can obtain the spectrum efficiency and BER performance close to the previous control scheme without power limitation. Moreover, it satisfies the requirements of power limitation and target BER. Practically, the maximum transmission power of transmission systems is limited. This power constraint causes the variable power control derived from no maximum power limitation suffering from performance degradation. In this paper, a constrained variable-power adaptive M-ary quadrature amplitude modulation scheme for MIMO systems with space-time coding is developed. Convex optimization is used to derive the switching thresholds of the instantaneous signal-to-noise ratio for power control (PC) and adaptive modulation under the constraints of maximum power, average power, and target BER. In the derivation of the relation between modulation and power, the exact BER expression of binary phase shift keying modulation and a tight bound for higher order quadrature amplitude modulation are used to make the PC scheme fulfill the target BER even at low signal-to-noise ratio where the previous PC schemes fail to meet the target BER. Numerical results show that the derived control scheme under the power constraints can obtain the spectrum efficiency and BER performance close to the previous control scheme without power limitation. Moreover, it can satisfy the requirements of power limitation and target BER and can effectively avoid the excessive power consumption of previous PC scheme in poor channel condition. Copyright copyright 2012 John Wiley & Sons, Ltd. A constrained variable-power adaptive modulation (AM) scheme for space-time coded MIMO systems is developed. Convex optimization is used to derive the switching thresholds of the signal-to-noise ratio for power control (PC) and AM under the constraints of maximum power, average power, and target BER. Numerical results show that the derived PC can obtain the spectrum efficiency and BER performance close to the previous control scheme without power limitation. Moreover, it satisfies the requirements of power limitation and target BER. SUMMARY Practically, the maximum transmission power of transmission systems is limited. This power constraint causes the variable power control derived from no maximum power limitation suffering from performance degradation. In this paper, a constrained variable-power adaptive M-ary quadrature amplitude modulation scheme for MIMO systems with space-time coding is developed. Convex optimization is used to derive the switching thresholds of the instantaneous signal-to-noise ratio for power control (PC) and adaptive modulation under the constraints of maximum power, average power, and target BER. In the derivation of the relation between modulation and power, the exact BER expression of binary phase shift keying modulation and a tight bound for higher order quadrature amplitude modulation are used to make the PC scheme fulfill the target BER even at low signal-to-noise ratio where the previous PC schemes fail to meet the target BER. Numerical results show that the derived control scheme under the power constraints can obtain the spectrum efficiency and BER performance close to the previous control scheme without power limitation. Moreover, it can satisfy the requirements of power limitation and target BER and can effectively avoid the excessive power consumption of previous PC scheme in poor channel condition. Copyright © 2012 John Wiley & Sons, Ltd. |
| Author | Zhu, Qiuming Yu, Xiangbin Xu, Dazhuan Liu, Xiaoshuai |
| Author_xml | – sequence: 1 givenname: Xiangbin surname: Yu fullname: Yu, Xiangbin email: Correspondence to: Xiangbin Yu, College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China., yxbxwy@nuaa.edu.cn organization: College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China – sequence: 2 givenname: Xiaoshuai surname: Liu fullname: Liu, Xiaoshuai organization: College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China – sequence: 3 givenname: Qiuming surname: Zhu fullname: Zhu, Qiuming organization: College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China – sequence: 4 givenname: Dazhuan surname: Xu fullname: Xu, Dazhuan organization: College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China |
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| Cites_doi | 10.1109/26.950343 10.1109/TWC.2007.05533 10.1049/iet-com.2010.0681 10.1109/MCOM.2010.5458371 10.1109/TWC.2006.1611051 10.1007/978-0-387-88497-4_1 10.1109/PIMRC.2004.1368727 10.1109/TVT.2005.853886 10.1109/26.764914 10.1109/TCOM.1971.1090666 10.1109/TSP.2002.803347 10.1109/TVT.2008.2002543 10.1017/CBO9780511804441 10.1109/TWC.2004.833411 10.1109/WICOM.2007.101 10.1023/A:1008979107539 10.1109/26.634685 10.1109/PIMRC.2004.1370920 10.1007/s11277-009-9851-8 10.1109/49.753730 10.1109/TWC.2005.853968 10.1109/TVT.2004.823540 |
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| Copyright | Copyright © 2012 John Wiley & Sons, Ltd. Copyright © 2014 John Wiley & Sons, Ltd. |
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| References_xml | – reference: Yu XB, Leung S-H, Wong W-K.Performance analysis of variable-power adaptive modulation with antenna selection over Rayleigh fading channels. IET Communications 2011; 10:1394-1404. – reference: Zhou Z, Vucetic B, Dohler M, Li Y.MIMO systems with adaptive modulation. IEEE Transactions on Vehicular Technology 2005; 54:1828-1842. – reference: Proakis JG.Digital Communications (5th edn). McGraw-Hill: New York, 2007. – reference: Tomiuk BR, Beaulieu NC, Abu-Dayya AA.General forms for maximum ratio diversity with weighting error. IEEE Transactions on Communications 1999; 47:488-492. – reference: Ko Y, Tepedelenlioglu C.Orthogonal space-time block coded rate-adaptive modulation with outdated feedback. IEEE Transactions on Wireless Communications 2006; 5:290-295. – reference: Alouini MS, Goldsmith AJ.Adaptive modulation over Nakagami fading channels. Wireless Personal Communications 2000; 13:119-143. – reference: Zhang XF, Feng GP, Xu DZ, Gao X.Blind paralind space-time multiuser detection for asynchronous CDMA system. Journal of Circuits Systems and Computers 2009; 18:1-15. – reference: Yu XB, Leung S-H.Performance analysis of rate-adaptive modulation with imperfect estimation in space-time coded MIMO system. Wireless Personal Communications 2011; 57:181-194. – reference: Tarokh V, Jafarkhani H, Calderbank AR.Space-time block coding for wireless communications: performance results. IEEE Journal on Selected Areas in Communications 1999; 17:451-460. – reference: Zhou S, Giannakis GB.Adaptive modulation for multiantenna transmissions with channel mean feedback. IEEE Transactions on Wireless Communications 2004; 3:1626-1636. – reference: Duong DV, Øien GE.Optimal pilot spacing and power in rate-adaptive MIMO diversity systems with imperfect CSI. IEEE Transactions on Wireless Communications 2007; 6:845-851. – reference: Stamoulis A, Diggavi SN, Al-Dhahir N.Intercarrier interference in MIMO-OFDM. IEEE Transactions on Signal Processing 2002; 50:2451-2464. – reference: Huang J, Signell S.On performance of adaptive modulation in MIMO systems using orthogonal space-time block codes. IEEE Transactions on Vehicular Technology 2009; 58:7838-7847. – reference: Maaref A, Aissa S.Capacity of space-time block codes in MIMO Rayleigh fading channel with adaptive transmission and estimation errors. IEEE Transactions on Wireless Communications 2005; 4:2568-2578. – reference: Gans MJ.The effect of Gaussian error in maximal ratio combiners. IEEE Transactions on Communication Technology 1971; COM-19:492-500. – reference: Chung ST, Goldsmith AJ.Degrees of freedom in adaptive modulation: a unified view. IEEE Transactions on Communications 2001; 49:1561-1571. – reference: Goldsmith AJ, Chua SG.Variable-rate variable-power MQAM for fading channels. IEEE Transactions on Communications 1997; 45:1218-1230. – reference: Boyd S, Vandenberghe L.Convex Optimization. Cambridge University Press: New York, 2004. – reference: Chae C-B, Forenza A, Heath RW, McKay M, Collings I.Adaptive MIMO transmission techniques for broadband wireless communication systems. IEEE Communications Magazine 2010; 48:112-118. – reference: Yu XB, Leung S-H, Mow WH, Wong W-K.Performance of variable-power adaptive modulation with space-time coding and imperfect CSI in MIMO systems. IEEE Transactions on Vehicular Technology 2009; 58:2115-2120. – reference: Simon MK, Hinedi SM, Lindsey WC.Digital Communication Techniques Signal Design and Detection. Prentice-Hall: New Jersey, USA, 1995. – reference: Gradshteyn IS, Ryzhik IM.Table of Integrals, Series, and Products (7th edn). Academic: San Diego, CA, 2007. – reference: Shin H, Lee JH.Performance analysis of space-time block codes over keyhole Nakagami-m fading channels. IEEE Transactions on Vehicular Technology 2004; 53:351-362. – volume: 48 start-page: 112 year: 2010 end-page: 118 article-title: Adaptive MIMO transmission techniques for broadband wireless communication systems publication-title: IEEE Communications Magazine – volume: 18 start-page: 1 year: 2009 end-page: 15 article-title: Blind paralind space–time multiuser detection for asynchronous CDMA system publication-title: Journal of Circuits Systems and Computers – start-page: 2294 year: 2004 end-page: 2298 – year: 2007 – volume: 4 start-page: 2568 year: 2005 end-page: 2578 article-title: Capacity of space–time block codes in MIMO Rayleigh fading channel with adaptive transmission and estimation errors publication-title: IEEE Transactions on Wireless Communications – volume: 6 start-page: 845 year: 2007 end-page: 851 article-title: Optimal pilot spacing and power in rate‐adaptive MIMO diversity systems with imperfect CSI publication-title: IEEE Transactions on Wireless Communications – volume: 58 start-page: 7838 year: 2009 end-page: 7847 article-title: On performance of adaptive modulation in MIMO systems using orthogonal space–time block codes publication-title: IEEE Transactions on Vehicular Technology – volume: 58 start-page: 2115 year: 2009 end-page: 2120 article-title: Performance of variable‐power adaptive modulation with space–time coding and imperfect CSI in MIMO systems publication-title: IEEE Transactions on Vehicular Technology – volume: 17 start-page: 451 year: 1999 end-page: 460 article-title: Space–time block coding for wireless communications: performance results publication-title: IEEE Journal on Selected Areas in Communications – volume: 45 start-page: 1218 year: 1997 end-page: 1230 article-title: Variable‐rate variable‐power MQAM for fading channels publication-title: IEEE Transactions on Communications – volume: 3 start-page: 1626 year: 2004 end-page: 1636 article-title: Adaptive modulation for multiantenna transmissions with channel mean feedback 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| Snippet | SUMMARYPractically, the maximum transmission power of transmission systems is limited. This power constraint causes the variable power control derived from no... Practically, the maximum transmission power of transmission systems is limited. This power constraint causes the variable power control derived from no maximum... SUMMARY Practically, the maximum transmission power of transmission systems is limited. This power constraint causes the variable power control derived from no... |
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| SubjectTerms | adaptive modulation Adaptive systems Constraints Mathematical models Maximum power Modulation multi-input multi-output (MIMO) Polycarbonates Power control power limitation Signal to noise ratio space-time coding spectrum efficiency variable power |
| Title | Adaptive modulation with constrained variable power for space-time coded MIMO systems |
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