@article{yin_power_2021, title = {Power {Allocation} for {5G} {Mobile} {Multiuser} {Cooperative} {Networks}}, volume = {2021}, issn = {2042-3195, 0197-6729}, url = {https://www.hindawi.com/journals/jat/2021/3882100/}, doi = {10.1155/2021/3882100}, abstract = {With the fifth generation (5G) communication technology, the mobile multiuser networks have developed rapidly. In this paper, the performance analysis of mobile multiuser networks which utilize decode-and-forward (DF) relaying is considered. We derive novel outage probability (OP) expressions. To improve the OP performance, we study the power allocation optimization problem. To solve the optimization problem, we propose an intelligent power allocation optimization algorithm based on grey wolf optimization (GWO). We compare the proposed GWO approach with three existing algorithms. The experimental results reveal that the proposed GWO algorithm can achieve a smaller OP, thus improving system efficiency. Also, compared with other channel models, the OP values of the 2-Rayleigh model are increased by 81.2\% and 66.6\%, respectively.}, language = {en}, urldate = {2022-04-28}, journal = {Journal of Advanced Transportation}, author = {Yin, Fagen and Du, Wencai}, editor = {Tsai, Sang-Bing}, month = dec, year = {2021}, note = {1 citations (Crossref) [2022-09-21]}, pages = {1--7}, }