Energy Efficiency in QoS Constrained 60 GHz Millimeter-Wave Ultra-Dense Networks

Nguyen, Huy; Murakami, Homare; Nguyen, Kien; Ishizu, Koji; Kojima, Fumihide; Kim, Jong-Deok; Chung, Sang-Hwa; Hwang, Won-Joo

doi:10.1007/978-3-030-14413-5_7

Cited by 1 publication

(1 citation statement)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Results have quantified the performance gains achieved when using the mean-field approach compared to the baseline in which the nodes transmit with maximum power. In [14], new approaches for jointly optimizing small cells-UE association and power allocation have been proposed in the context of 60 GHz millimeter-wave ultradense networks. the proposed methods have been targeted on maximizing the system EE subject to the QoS requirements of each UE.…”

Section: Introductionmentioning

confidence: 99%

A Joint Power Allocation and User Association Based on Non-Cooperative Game Theory in an Heterogeneous Ultra-Dense Network

et al. 2019

View full text Add to dashboard Cite

Driven by the increase of data traffic, a heterogeneous ultra-dense network (H-UDN) constitute one of the most promising techniques to support the 5G mobile system. Ultra-dense network (UDN) refers to the idea of densifying the cellular networks to reduce the distance between the access nodes and the user equipment (UE) to achieve the highest possible transmission rates and to enhance the quality of service (QoS). Despite these advantages, (H-UDN) introduces numerous challenges in terms of resource allocation. In this paper, we develop a joint power allocation and user association strategy in H-UDN using non-cooperative game theory. The proposed game is divided into two sub-games, the Backhaul Game is implemented between BS and RNs in the backhaul links and the Access Game is implemented between the BS/RNs and UEs in the access links. The leaders estimate the strategies of their followers to decide on their strategies. Therefore, our solution starts first by solving the users association in the access links to derive the optimal power strategies of the followers and then choosing their optimal power allocation strategies. Subsequently, the followers do the best response to the leaders' strategies. The simulation results show that our proposed algorithm can achieve the optimal power allocation and improve the performances of the system in term of throughput and UE rate compared to existing methods. INDEX TERMS Heterogeneous ultra-dense network, non cooperative game theory, power allocation, QoS, relay, user association.

show abstract

Section: Introductionmentioning

confidence: 99%