This paper focuses on a heterogeneous scenario in which cellular and wireless local area technologies coexist and in which mobile devices are enabled with device-to-device communication capabilities. In this context, this paper assumes a network architecture in which a given user equipment (UE) can receive mobile service either by connecting directly to a cellular base station or by connecting through another UE that acts as an access point and relays the traffic from a cellular base station. The paper investigates the optimization of the connectivity of different UEs with the target to minimize the total transmission power. An optimization framework is presented, and a distributed strategy based on Q-learning and softmax decision making is proposed as a means to solve the considered problem with reduced complexity. The proposed strategy is evaluated under different conditions, and it is shown that the strategy achieves a performance very close to the optimum. Moreover, significant transmission power reductions of approximately 40% are obtained with respect to the classical approach, in which all UEs are connected to the cellular infrastructure. For multi-cell scenarios, in which the optimum solution cannot be easily known a priori, the proposed approach is compared against a centralized genetic algorithm. The proposed approach achieves similar performance in terms of total transmitted power, while exhibiting much lower computational requirements. ; Peer Reviewed ; Postprint (author's final draft)
Power-efficient resource allocation in a heterogeneous network with cellular and D2D capabilities
2016-01-13
Article (Journal)
Electronic Resource
English
Sistemes de , Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Comunicacions mòbils , Power efficient communications , D2D , Vehicles de motor -- Innovacions tecnològiques , Q-learning , Comunicacions mòbils , Mobile communication systems , Motor vehicles -- Technological innovations , AP selection , Àrees temàtiques de la UPC::Enginyeria mecànica::Disseny i construcció de vehicles::Automòbils
DDC: | 629 |