An approximation algorithm for the generalized assignment problem
Mathematical Programming: Series A and B
P-Complete Approximation Problems
Journal of the ACM (JACM)
Approximation schemes for packing with item fragmentation
WAOA'05 Proceedings of the Third international conference on Approximation and Online Algorithms
| Hi-index | 5.23 |
Orthogonal Frequency Division Multiple Access (OFDMA) transmission technique is gaining popularity as a preferred technique in the emerging broadband wireless access standards. Motivated by the OFDMA transmission technique we define the following problem: Let M be a matrix (over R) of size axb. Given a vector of non-negative integers C-= such that @?c"j=a, we would like to allocate a cells in M such that (i) in each row of M there is a single allocation, and (ii) for each element c"i@?C- there is a unique column in M which contains exactly c"i allocations. Our goal is to find an allocation with minimal value, that is, the sum of all the a cells of M which were allocated is minimal. The nature of the suggested new problem is investigated in this paper. Efficient algorithms are suggested for some interesting cases. For other cases of the problem, NP-hardness proofs are given followed by inapproximability results.