Browsing by Author "Tsai, Chia-Lin"

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Load-Balanced User Association and Resource Allocation Under Limited Capacity Backhaul for Small Cell Networks
(2016)
Wang, Chia-Yu
;
Li, Pei-Rong
;
Tsai, Chia-Lin
;
Feng, Kai-Ten
;
電機工程學系
Recently, the centralized management in small cell (SC) networks enabled by the existence of a central controller and backhaul links is developed to meet the growing data demand. The effect of load-balancing under the considerations of limited capacity backhaul and co-channel interference is investigated in this paper. Our main goal is to maximize energy efficiency (EE) in SC network through a joint decision strategy consists of user association and radio resource allocation with quality-of-service (QoS) support. To tackle this mixed combinatorial optimization problem, a load-balanced user association and radio resource allocation (LB-UARA) mechanism based on the quantum-behaved particle swarm optimization algorithm is proposed. Simulation results demonstrate that the objectives of QoS satisfaction and energy conservation can be realized via load-balancing procedure in our proposed LB-UARA mechanism.
Outage-based Cooperative Resource Competition Game in LTE-A Small Cell Networks
(2016-01-01)
Tsai, Chia-Lin
;
Li, Pei-Rong
;
Feng, Kai-Ten
;
電機工程學系
;
Department of Electrical and Computer Engineering
To alleviate greenhouse effect, high network energy efficiency (EE) has increasingly become an important research target in wireless communication systems. In this paper, the investigation for resource blocks (RBs) and transmit power allocation to mitigate co-tier interference in small cell networks is provided. In view of the drawbacks for considerable computational loadings and the acquisition for global channel information under centralized control, this paper proposes a framework based on a cooperative game to distributively perform resource allocation with only limited information. Moreover, the outage probability analyses for both perfect and imperfect channel state information at the transmitter (CSIT) are discussed in this paper. Furthermore, a regret-based learning algorithm for the proposed outage-based cooperative resource competition game (OCRC) to reach the correlated equilibrium (CE) is adapted. Simulation results verify the convergence in proposed OCRC scheme. Additionally, the proposed OCRC scheme can maintain and provide better EE performance compared to equal power allocation (EPA) scheme with imperfect CSIT.