Research Article

Smart Application Division and Time Allocation Policy for Computational Offloading in Wireless Powered Mobile Edge Computing

Table 4

Notations.

NotationsMeaning

Input data of subtask
Output data of subtask
, Uplink and downlink small scale fading channel power gains, respectively
Boolean variable for offloading option of subtask
Optimal offloading policy
Current available energy of MT’s battery
Energy of MT’s battery for coming time slot
Percent current level of MT’s battery
Available bandwidth
CPU cycles to execute 1 byte of data
, MT’s downlink reception and uplink transmission time delays, respectively
, Processing and total time delays for subtask , respectively
Maximum time delay for single application
, Time delays for local and remote execution of subtask , respectively
, Local and remote execution energy consumption for subtask , respectively
Maximum energy consumption for single application
Harvested energy of MT during subtask
Effective switching capacitance factor
and Unit balancing coefficients
Channel power gain for subtask
, MT’s uplink and downlink channel data rates, respectively
Number of subtasks
Cost function
, Cost functions for local execution and remote execution of subtask , respectively
Optimal cost
Size of application
Noise spectral density
Number of subtasks per application
Optimal number of subtasks
, CPU frequencies of MES and MT, respectively
OPMatrix of all possible offloading policies
Path loss exponent
, Transmitted powers of HAP and MT, respectively
Downlink power of HAP
Path loss constant
Distance between MT and HAP
Reference distance
and Weighting coefficients
, MT’s time fractions for harvesting energy and data offloading, respectively
, Optimal time fractions for energy harvesting and data offloading, respectively
Time resolution