Abstract
Bio-inspired algorithms are modern optimization tools that are capable of solving complex design problems in many applications. Such algorithms aim to speed up the optimization process so as to tackle tougher optimization problems. Some of these algorithms, such as particle swarm optimization and cuckoo search, have been found to be much more feasible and practical in obtaining the optimal solution, compared to conventional mathematical methods. In this chapter, we will review design problems and their solution methods concerning resource and power allocations in orthogonal frequency division multiple access systems.
Original language | English |
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Title of host publication | Bio-Inspired Computation in Telecommunications |
Publisher | Elsevier Inc. |
Pages | 23-42 |
Number of pages | 20 |
ISBN (Electronic) | 9780128017432 |
ISBN (Print) | 9780128015384 |
DOIs | |
Publication status | Published - 6 Feb 2015 |
Keywords
- Bio-inspired algorithm
- Convex optimization
- Energy efficiency
- OFDMA
- Spectral efficiency
- Subchannel allocation