Subchannel allocation for the OFDMA-based femtocell system

Byung Gook Kim, Jeong Ahn Kwon, Jang Won Lee

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


In femtocell networks, due to their small cell size, we can achieve higher spatial diversity from the channel reuse between multiple femtocells. In addition, if femtocells operate on OFDMA systems, each subchannel can be reused separately among femtocells, improving system efficiency more significantly. However, due to a large number of femtocells and their uncoordinated and irregular deployment, we need to treat intercell interferences very carefully in OFDMA-based femtocell networks, which makes developing efficient resource allocation schemes more difficult. In this paper, we study a subchannel allocation problem that aims at maximizing the sum utility of the OFDMA-based femtocell network, which can be applied to both the dedicated channel and shared channel femtocell deployments. Since the problem is formulated as a nonlinear integer program, which is inherently difficult to solve, we propose a suboptimal subchannel allocation algorithm. The proposed subchannel allocation algorithm consists of two steps: calculating the number of subchannels that should be granted to each cell to maximize the sum utility and finding actual subchannel allocation that achieves the granted number of subchannels for each cell. Numerical results show that the proposed subchannel allocation algorithm provides near-optimal performance.

Original languageEnglish
Pages (from-to)3617-3629
Number of pages13
JournalComputer Networks
Issue number17
Publication statusPublished - 2013 Dec 9

Bibliographical note

Funding Information:
The earlier work of this paper has been presented at IEEE coHetNets 2011 that was held in conjunction with IEEE ICCCN 2011 [1] . This work was conducted when B.-G. Kim was a Ph.D. student in the Dept. of Electrical and Electronic Engineering, Yonsei University. This work was supported by Seoul R&BD Program (WR080951) and by Basic Science Research Program through the National Research Foundation (NRF) of Korea funded by the Ministry of Education, Science and Technology (2009-0067264).

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications


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