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This paper studies robust energy optimization for the cloud radio access network (C-RAN). The objective of this paper is to jointly minimize network power consumption through optimizing the base station (BS) mode, multi-user (MU)-BS association, and beamforming vectors given imperfect channel state information (CSI). To solve this non-trivial problem, we first transform the problem to a semi-definite...
In this paper, we propose an user-oriented graph based frequency allocation algorithm for downlink transmission in the heterogeneous network. As different users may use different communication service, they would have different data rate requirement. It is critical to fulfill all users' traffic demand before enlarging the system throughput. So, the optimization objective is simultaneously improving...
In this paper, a joint control method for the user association and almost blank sub-frame (ABSF) based interference coordination (IC) technique in heterogeneous cellular networks is proposed. The optimization objective is simultaneously improving system throughput and guaranteeing proportionally fairness. Usually, user and base station (UE-BS) association is performed before ABSF rate determination,...
This paper considers a downlink Coordinated Multi Point (CoMP) transmission network, where the base stations (BSs) are connected to a central unit via backhaul links to serve mobile users (MUs). The objective is to jointly optimize the BS mode (active or sleep), MU association, and cooperative beamforming to minimize the total power consumption including backhauling power. We formulate the problem...
This paper investigates the power efficiency in downlink cooperative networks under spherical channel uncertainties, using a worst-case robust formulation. The aim of this paper is to jointly optimize the base station (BS) operation mode, mobile user (MU) association, and beamformings to achieve the robust network power gain. We formulate the problem as a mixed-integer non-convex problem with infinite...
Multiple-input multiple-output (MIMO) systems have drawn great attention in recent years due to their high throughput achieved in wireless systems. To reduce the space signal interference, the base station needs to perform a user selection algorithm when the number of users is greater than the number of antennas. User fairness is an important indicator in non-uniform channel. However, there is no...
Advanced interference coordination and resource management schemes are important in heterogeneous wireless networks in order to achieve a high network capacity and good user experience. In this paper, we present a joint consideration of the sub-channel allocation and power distribution in MIMO two-tier networks where the femtocells form clusters of equal size. All of the BSs have a multi-antenna configuration...
This paper investigates the problem of network selection in access control for heterogeneous networks of WCDMA/WLAN. To optimize the network selection decision policy, an optimization equation is defined with the objective of maximizing the total rewards, and then a new Q-learning Based Network Selection (QBNS) mechanism is proposed to solve the equation. In the QBNS Algorithm, Q-learning algorithm...
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