Joint channel and rate allocation with power minimization in orthogonal frequency-division multiple access (OFDMA) has attracted extensive attention. Most of the research has dealt with the development of suboptimal but low-complexity algorithms. In this paper, the contributions comprise new insights from revisiting tractability aspects of computing the optimum solution. Previous complexity analyses have been limited by assumptions of fixed power on each subcarrier or power-rate functions that locally grow arbitrarily fast. The analysis under the former assumption does not generalize to problem tractability with variable power, whereas the latter assumption prohibits the result from being applicable to well-behaved power-rate functions. As the first contribution, we overcome the previous limitations by rigorously proving the problem's NP-hardness for the representative logarithmic rate function. Next, we extend the proof to reach a much stronger result, namely, that the problem remains NP-hard, even if the channels allocated to each user are restricted to be a consecutive block with given size. We also prove that, under these restrictions, there is a special case with polynomial-time tractability. Then, we treat the problem class where the channels can be partitioned into an arbitrarily large but constant number of groups, each having uniform gain for every individual user. For this problem class, we present a polynomial-time algorithm and provide its optimality guarantee. In addition, we prove that the recognition of this class is polynomial-time solvable. / <p>Funding Agencies|Swedish Research Council||Linkoping-Lund Excellence Center in Information Technology||Center for Industrial Information Technology of Linkoping University||</p>
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-93408 |
| Date | January 2013 |
| Creators | Yuan, Di, Joung, Jingon, Keong Ho, Chin, Sun, Sumei |
| Publisher | Linköpings universitet, Kommunikations- och transportsystem, Linköpings universitet, Tekniska högskolan, ASTAR, Singapore, ASTAR, Singapore, ASTAR, Singapore, Institute of Electrical and Electronics Engineers (IEEE) |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Article in journal, info:eu-repo/semantics/article, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | IEEE Transactions on Vehicular Technology, 0018-9545, 2013, 62:2, s. 863-873 |
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