TÜBİTAK 1001, 215E127 Density-adaptive Wireless Networks
As the number of bandwidth-hungry applications and consequently the demand for mobile communications increases, cells have to become smaller to efficiently use the scarce spectrum. This phenomenon causes a paradigm change in mobile communications with the emergence of small-cell networks that are large in scale and highly dynamic resembling ad hoc networks. The churn in the presence of small cells, which causes sporadic density changes, impacts the quality of service and experience and introduces many novel challenges including distributed coverage preservation and interference management through local cooperation. Centralized management and static configuration, which require solving NP-hard optimization problems, are not feasible any more due to the scale of the network. Distributed self-organization techniques, density-adaptive protocols and architectures have to be developed. This project will address this challenge with the goal of making the large-scale small-cell networks density-aware and -adaptive. We will propose novel density estimators, density-adaptive stack and nature-inspired coverage preservation techniques using the estimator, and validate the expected results on a test-bed. Expected results of this project will help operators decrease operational expenses, increase quality of service, satisfy customer expectations and reduce electromagnetic exposure of customers.