Page 87 - ITU Journal Future and evolving technologies – Volume 2 (2021), Issue 2

ITU Journal on Future and Evolving Technologies, Volume 2 (2021), Issue 2

Table 4 – Review of methods used in mobile resource deployment for MEC

Joint problematic Main
Ref Method CPU constraints
Bits Scheduling Of loading Power optimi‑ Resource User
allocation allocation allocation association
zation
Lagrangian duality, Power and
[83] Successive convex x x x computation
approximation capacities
Successive convex Energy devices
approximation,
[78] x x x consumption’s,
Decomposition and Trajectory constraints
iterative algorithm
Decomposition and Task deadlines,
[87] x x
iterative algorithm Energy budget
Dinkelbach method,
Successive convex
[102] approximation, x Computing capacities,
Decomposition and Mechanical constraints
iterative algorithm
Decomposition and Energy budget,
[86] x
iterative algorithm Data Causality
Penalty
[104] dual‑decomposition x x Residual battery,
Energy budget
method
Decomposition and
[105] x UAV speed
iterative algorithm
Decomposition and Devices
[109] x
iterative algorithm coverage
Successive convex Computing
[88] x
approximation capacities
Block successive Latency constraints,
[103] upper‑bound x x Computation
minimization algorithm and power capacities
Computation
[110] Greedy algorithm x
capacity
Greedy dispatching Communication range,
[111]
algorithm UAVs number
Decomposition and UAV Velocity,
[89] x x
iterative algorithm Obstacles
Decomposition and UAV battery
[106] x x
iterative algorithm and velocity
Deep Reinforcement
[107] x x ‑
Learning
Computation
[108] Differential x capacities
Evolution algorithm Computation
[92] x x x
capacities
Computation capacities,
[82] Meta‑Heuristic x Time and
power constraints
UAV battery,
SCA‑based
[77] x x Tasks reliabiltiy,
iterative algorithm
Latency requirements

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