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Interference Aware and Fair Cell Association, User Scheduling, and Resource Allocation in Next Generation Ultra Dense Heterogeneous Communication Networks

 

 

 

 

Funded by

TUBITAK (The Scientific and Technological Research Council of Turkey)

 

1001 - Scientific and Technological Research Projects Funding Program

Project no

119E197

Duration

November 2019 - November 2021

 

In the ongoing project, it is aimed to investigate and propose original solutions for user-cell association, priority based scheduling, and fair resource allocation problems for next generation ultra-dense heterogeneous communication networks. Latest results, publications and events will be shared in this web site.

 

In existing cellular communication systems, structures and capabilities of cells and base stations are homogeneous and a single base station serves a large cell. Hence, inter-cell interference occurs especially on edges of cells and cell edge users can experience service outage. In next generation communication systems, heterogeneous structures with different capabilities and coverage areas will be used instead of homogeneous cells. Heterogeneous networks that existed since fourth generation communication systems are transforming into ultra-dense heterogeneous networks in 5G and beyond systems.

 

In the project, it is aimed to investigate and propose original solutions for user-cell association, priority based scheduling, and fair resource allocation problems for next generation ultra-dense heterogeneous communication networks. Proposed solutions will also be supported by computer-based simulation studies. Outputs are expected to produce and guide the required principles for cell allocation, scheduling, and resource allocation for next generation networks.

 

The proposed interference aware, latency aware, fair, multi-connectivity enabled, and joint uplink-downlink optimization designs will be investigated for the first time in the literature as a whole for ultra-dense heterogeneous networks. Therefore, the developed optimum and near-optimum principles and techniques will close the gap in the relevant literature. Less comprehensive problems could not be solved using traditional optimization techniques in the literature, however, it is predicted that the interference regulated water-filling method that we introduced to the literature will be effective for the solution of the proposed problems.

 

The project is a combination of two work packages that are complementary. First work package includes user-cell association and scheduling and second work package includes resource allocation studies. Outputs of both packages will have up-to-date and original designs. Work packages are divided into sub-work packages with appropriate targets, measures and deadlines. If optimum solutions could not be found, then either suboptimum solutions will be found or heuristic algorithms will be used.