Convex optimisation-based joint channel and power allocation scheme for orthogonal frequency division multiple access networks
This study concerns joint channel and power allocation scheme for multi-user orthogonal frequency division multiple access system. The author's highlight is margin adaptive (MA) resource allocation problem namely minimising the total transmit power of users with rate requirement constraints. MA...
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| Veröffentlicht in: | IET communications Jg. 9; H. 1; S. 28 - 32 |
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The Institution of Engineering and Technology
02.01.2015
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| Abstract | This study concerns joint channel and power allocation scheme for multi-user orthogonal frequency division multiple access system. The author's highlight is margin adaptive (MA) resource allocation problem namely minimising the total transmit power of users with rate requirement constraints. MA is generally provable NP-hard; the typical methods are either to relax and round, or to fix the transmission mode of users (e.g. modulation and coding). Differently, they reorganise MA problem with only power variables left and design a novel relaxation scheme to enable the convexity. The polynomial-time algorithm-interior-point method-is employed to solve the relaxation problem and the theoretical complexity is further presented. Simulation results demonstrate that the author's scheme can provide high energy efficiency compared with the existing methods, 100% relative error bounds with respect to the optimum in most cases, and low computational complexity. |
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| AbstractList | This study concerns joint channel and power allocation scheme for multi‐user orthogonal frequency division multiple access system. The author's highlight is margin adaptive (MA) resource allocation problem namely minimising the total transmit power of users with rate requirement constraints. MA is generally provable NP‐hard; the typical methods are either to relax and round, or to fix the transmission mode of users (e.g. modulation and coding). Differently, they reorganise MA problem with only power variables left and design a novel relaxation scheme to enable the convexity. The polynomial‐time algorithm‐interior‐point method‐is employed to solve the relaxation problem and the theoretical complexity is further presented. Simulation results demonstrate that the author's scheme can provide high energy efficiency compared with the existing methods, 100% relative error bounds with respect to the optimum in most cases, and low computational complexity. |
| Author | Li, Jiandong Liu, Peng Li, Hongyan Meng, Yun |
| Author_xml | – sequence: 1 givenname: Peng surname: Liu fullname: Liu, Peng organization: The State Key Laboratory of ISN & Information Science Institute, Xidian University, Xi'an, Shaanxi 710071, People's Republic of China – sequence: 2 givenname: Jiandong surname: Li fullname: Li, Jiandong email: jdli@mail.xidian.edu.cn organization: The State Key Laboratory of ISN & Information Science Institute, Xidian University, Xi'an, Shaanxi 710071, People's Republic of China – sequence: 3 givenname: Hongyan surname: Li fullname: Li, Hongyan organization: The State Key Laboratory of ISN & Information Science Institute, Xidian University, Xi'an, Shaanxi 710071, People's Republic of China – sequence: 4 givenname: Yun surname: Meng fullname: Meng, Yun organization: The State Key Laboratory of ISN & Information Science Institute, Xidian University, Xi'an, Shaanxi 710071, People's Republic of China |
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| Keywords | joint channel and power allocation scheme convex optimisation frequency division multiple access constraint theory convex programming interior point method multiuser orthogonal frequency division multiple access system communication complexity margin adaptive resource allocation problem radio access networks NP-hard problem multiple access networks relative error bounds rate requirement constraints OFDM modulation MA problem channel allocation relaxation scheme polynomial-time algorithm power variables computational complexity |
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| SubjectTerms | Algorithms Allocations channel allocation Channels communication complexity Complexity computational complexity Computer simulation constraint theory convex optimisation convex programming Frequency division multiple access interior point method joint channel and power allocation scheme MA problem margin adaptive resource allocation problem Modulation multiple access networks multiuser orthogonal frequency division multiple access system Networks NP‐hard problem OFDM modulation polynomial‐time algorithm power variables radio access networks rate requirement constraints relative error bounds relaxation scheme |
| Title | Convex optimisation-based joint channel and power allocation scheme for orthogonal frequency division multiple access networks |
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