Title
Bargaining game for effective coexistence between LTE-U and Wi-Fi systems.
Abstract
LTE over unlicensed band (LTE-U) has emerged as an effective technique to overcome the challenge of spectrum scarcity. Using LTE-U along with advanced techniques such as carrier aggregation (CA), one can boost the performance of existing cellular networks. However, if not properly managed, the use of LTE-U can potentially degrade the performance of coexisting Wi-Fi access points which operate over the unlicensed frequency bands. Moreover, most of the existing works consider a macro base station (MBS) or a small cell base station (SBS) for their proposals. In this paper, an effective coexistence mechanism between LTE-U and Wi-Fi systems is studied. The goal is to enable the cellular network to use LTE-U with CA to meet the quality-of-service (QoS) of the users while protecting Wi-Fi access points (WAPs), considering multiple SBSs from different operators in a dense deployment scenario. Specifically, an LTE-U sum-rate maximization problem is formulated under a user QoS and WAP-LTE-U co-existence constraints. To solve this problem, a cooperative Nash bargaining game is proposed. This game allows LTE-U and WAPs to share time resource while protecting Wi-Fi system. For allocating unlicensed resource among LTE-U users, a heuristic algorithm is proposed. Simulation results show that the proposed method is better than the comparing methods regarding per user achieved rate, percentage of unsatisfied users and fairness. The result also shows that the proposed method protects Wi-Fi user far better way than basic listen-before-talk (LBT) does.
Year
Venue
Field
2018
IEEE IFIP Network Operations and Management Symposium
Resource management,Base station,Spectrum management,Heuristic (computer science),Computer science,Computer network,Quality of service,Cellular network,Maximization,Distributed computing,Bargaining problem
DocType
ISSN
Citations 
Conference
1542-1201
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Anupam Kumar Bairagi1436.16
Nguyen H. Tran239952.48
Walid Saad34450279.64
Choong Seon Hong42044277.88