Abstract | ||
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Carrier aggregation (CA) functionality introduces new challenges for radio resource management (RRM) function of network. In this paper, an optimum and efficient RRM algorithm is proposed for Long Term Evolution-Advanced with reduced complexity and compared with the state-of-the-art (SOTA) solutions. The proposed algorithm optimally assigns component carriers, resource blocks, and modulation and c... |
Year | DOI | Venue |
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2018 | 10.1109/TVT.2017.2741780 | IEEE Transactions on Vehicular Technology |
Keywords | Field | DocType |
Resource management,Long Term Evolution,Approximation algorithms,MIMO,Throughput,3GPP,Bandwidth | Radio resource management,Resource management,Approximation algorithm,Computer science,MIMO,Computer network,Bandwidth (signal processing),Throughput,Channel state information,LTE Advanced | Journal |
Volume | Issue | ISSN |
67 | 1 | 0018-9545 |
Citations | PageRank | References |
3 | 0.37 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Soheil Rostami | 1 | 34 | 6.01 |
Kamran Arshad | 2 | 328 | 26.17 |
Predrag B. Rapajic | 3 | 145 | 21.89 |