@inproceedings{d93d238710604ce199d8228c79df34dd,
title = "Joint Optimization of Clustering and Resource Allocation based on Game Theory for Ultra-Dense Networks",
abstract = "In this paper, we consider the amalgamation of clustering and resource allocation based on game theory in ultra-dense networks (UDNs) which consist of a vast number of randomly distributed small cells. In particular, to mitigate the inter-cell interference, we propose a coalition game (CG) for clustering small cells with the utility function to be the ratio of signal to interference. Then, resource allocation is divided into two sub-problems such as sub-channel allocation (SCA) and power allocation (PA). We use the Hungarian method, which is efficient for solving binary optimization problems, for assigning the sub-channels to users in each cluster of SBSs. Additionally, an iterative algorithm to solve the convex optimization is provided to maximize the network sum-rate. Numerical results prove that the game-based clustering method outperforms the traditional clustering method (with and without PA optimization) and random clustering method in terms of the sum-rate.",
author = "Tinh, {Bui Thanh} and Nguyen, {Long D.} and Kha, {Ha Hoang} and Duong, {Trung Q.}",
year = "2022",
month = aug,
day = "16",
doi = "10.1109/icce55644.2022.9852056",
language = "English",
isbn = "9781665497442",
series = "IEEE International Conference on Communications and Electronics (ICCE): Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2022 IEEE Ninth International Conference on Communications and Electronics (ICCE): Proceedings",
address = "United States",
}