In , the optimal offloading strategy was investigated under varying mobile device locations, and the problem was formulated as a Markov Decision Process and solved with an iterative algorithm.
Currently, many studies mainly focus on computation offloading problem with only macro base station (MBS) [11, 12, 13]. However, MBS signals may not provide sufficient coverage for MUs situated beyond the MBS. Several studies recommend implementing femto base station (FBS) to solve this problem [14, 15, 16, 17, 18].
Many scholars have conducted relevant research on computation offloading for multicell network in MEC [19, 20, 21, 22, 23]. These works mainly use joint optimization or game theory methods to solve the computation offloading and resource allocation issues in cellular networks, aiming to minimize user energy consumption and latency.
Several studies recommend implementing femto base station (FBS) to solve this problem [14, 15, 16, 17, 18]. FBS is a smaller base station with shorter transmission distance and lower operating cost compared to MBS.
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