Energy minimization based resource scheduling for strict delay constrained wireless communications

Ibrahim Fawaz (1, 2) , Philippe Ciblat (2) , Mireille Sarkiss (1)

1 DIASI - Département Intelligence Ambiante et Systèmes Interactifs
2 LTCI - Laboratoire Traitement et Communication de l'Information

This paper investigates the energy consumption minimization for resource scheduling in a wireless communication. We propose to take into account a strict delay constraint for each queued packet rather than an average delay constraint, in addition to a buffer overflow constraint. The associated optimization problem can be modeled as Constraint Markov Decision Problem where the actions are the number of packets sent on the known channel at each slot. The optimal random policy is exhibited through the resolution of standard linear programming. We show the gain in energy is substantial compared to naive policy.

Domains: Computer Science [cs]

Ibrahim Fawaz, Philippe Ciblat, Mireille Sarkiss. Energy minimization based resource scheduling for strict delay constrained wireless communications. 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Nov 2017, Montreal, Canada. ⟨10.1109/GlobalSIP.2017.8308645⟩. ⟨cea-01888854⟩