Energy efficiency optimization-oriented control plane and user plane adaptation with a frameless network architecture for 5G

EURASIP Journal on Wireless Communications and Networking

Table 2 Computational complexity

Scheme	ES	GA	PL-MaxSINR	PL-Random
Complexity	\( \mathcal{O}\left(K{N}^{K{N}_a}{M}^{K{N}_s}{N}_a{N}_s\right) \)	\( \mathcal{O}\left(K{N}_g{N}_p{N}_a{N}_s\right) \)	\( \mathcal{O}\left(K{M}^{N_s}+K{N}_a{N}_s\right) \)	\( \mathcal{O}\left(K{N}_a{N}_s\right) \)

Moreover, we can achieve lower complexity by further improving the proposed GA algorithm. For example, by adopting the PL-Random algorithm in the initial process to produce the first population of GA, the number of generations can be further reduced