Resource assignments algorithm based on energy efficiency optimization in OFDM relay networks
In cooperative orthogonal frequency division multiplexing (OFDM) systems, the resource allocation rationally is significant to enhance the system performance. Aiming at maximizing the total system energy efficiency, the joint assignment problem of relay, sub-carrier and power among users is modeled....
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| Veröffentlicht in: | Tongxin Xuebao Jg. 36; H. 3; S. 2015078 |
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| Format: | Journal Article |
| Sprache: | Chinesisch |
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Editorial Department of Journal on Communications
01.03.2015
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| ISSN: | 1000-436X |
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| Abstract | In cooperative orthogonal frequency division multiplexing (OFDM) systems, the resource allocation rationally is significant to enhance the system performance. Aiming at maximizing the total system energy efficiency, the joint assignment problem of relay, sub-carrier and power among users is modeled. Since the joint assignment issue subject to each user's maximal energy efficiency under minimal capacity constraints can be modeled as a NP-hard problem, a suboptimal algorithm is proposed to solve this problem. The proposed algorithm uses the conflict graph (CG) to denote the possible resource conflict relations. Then, the resource is assigned using maximal weight independent set (MWIS) algorithm. Numerical results demonstrate that the proposed algorithm (JRAA) can improve the system energy efficiency by joint assignment of relay, sub-carrier and power. |
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| AbstractList | In cooperative orthogonal frequency division multiplexing (OFDM) systems, the resource allocation rationally is significant to enhance the system performance. Aiming at maximizing the total system energy efficiency, the joint as-signment problem of relay, sub-carrier and power among users is modeled. Since the joint assignment issue subject to each user's maximal energy efficiency under minimal capacity constraints can be modeled as a NP-hard problem, a suboptimal algorithm is proposed to solve this problem. The proposed algorithm uses the conflict graph (CG) to denote the possible resource conflict relations. Then, the resource is assigned using maximal weight independent set (MWIS) algorithm. Numerical results demonstrate that the proposed algorithm (JRAA) can improve the system energy efficiency by joint assignment of relay,sub-carrier and power. In cooperative orthogonal frequency division multiplexing (OFDM) systems, the resource allocation rationally is significant to enhance the system performance. Aiming at maximizing the total system energy efficiency, the joint assignment problem of relay, sub-carrier and power among users is modeled. Since the joint assignment issue subject to each user's maximal energy efficiency under minimal capacity constraints can be modeled as a NP-hard problem, a suboptimal algorithm is proposed to solve this problem. The proposed algorithm uses the conflict graph (CG) to denote the possible resource conflict relations. Then, the resource is assigned using maximal weight independent set (MWIS) algorithm. Numerical results demonstrate that the proposed algorithm (JRAA) can improve the system energy efficiency by joint assignment of relay, sub-carrier and power. |
| Author | Duan, Hai-Xia Su, Kai-Rong Cao, Bin Li, Yun |
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| SubjectTerms | Algorithms Energy management Energy use Mathematical models Operations research Optimization Orthogonal Frequency Division Multiplexing Relay Resource allocation resource allocation;energy efficiency;maximum weight independent set;conflict graph;OFDM |
| Title | Resource assignments algorithm based on energy efficiency optimization in OFDM relay networks |
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