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The authors study minimization of overall energy consumption of OFDMA systems, which are widely adopted in future wireless communications. Based on the existing resource allocation to minimize transmission energy, the computation energy increases due to the complexity of allocating algorithms. Since, high performance algorithms usually have high complexity, there exist trade-offs between transmission energy and computation energy. To systematically minimize overall energy consumption comprised of transmission and computation, they propose to minimize transmission energy by resource allocation while keeping the computation energy low via reduced-complexity algorithm.
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