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As traditional wireless cellular networks are facing a rapid growth of traffic demand, future networks may consist of a large number of small cells which are densely deployed. However, networks in dense environment is exposed to strong inter-cell interference problem which is critical to networks capacity. To solve the problem, we use the Graph Coloring Algorithm (GCA) to divide the small cells into...
As traditional wireless cellular networks are facing a rapid growth of traffic demand, the future networks may consist of a large number of small cells which are densely deployed. However, a large number of small cell Base Stations (BSs) will consume a lot of energy, which is not conductive to improve the network Energy Efficiency (EE). The purpose of our research is to optimize the dense small cell...
The energy consumption driven by dramatic growing demand for mobile data rates has attracted extensive attention. It is expected that the next generation cellular communication systems should improve not only spectral efficiency but also energy efficiency. Coordinated multi-point transmission (CoMP) and heterogeneous networks (HetNets) are two techniques for achieving high spectral efficiency and...
Hierarchical layering of cells with macrocells coexisting with low-power small cells has been investigated as a promising technique to enhance coverage extension and reduce power consumption, which has emerged as a candidate for green communications. Due to the challenging interference scenarios, Cell Range Extension (CRE) and enhanced inter-cell interference coordination (eICIC) are the key technologies...
The conventional Bayesian beamformer suffers substantial performance degradation, when the true direction-of-arrival is deterministic and is not included in the priori. In this letter, we propose a method with sidelobe constraint to improve the robustness of the Bayesian beamforming method. Support vector machine is used to obtain the weights. Numerical results show that the proposed beamformer can...
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