Price-based distributed resource allocation for femtocell networks
In this paper, we investigate the resource allocation issues in spectrum-sharing-based two-tier networks, which are composed of several underlaid femtocells and a macrocell. The macrocell base station (MBS) partially shares its sub-carriers with femtocell users (FUs) while being protected by per-sub...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/97699 http://hdl.handle.net/10220/12037 |
| _version_ | 1824454585020841984 |
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| author | Yuan, Pu Liang, Ying-Chang Bi, Guoan |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Yuan, Pu Liang, Ying-Chang Bi, Guoan |
| author_sort | Yuan, Pu |
| collection | NTU |
| description | In this paper, we investigate the resource allocation issues in spectrum-sharing-based two-tier networks, which are composed of several underlaid femtocells and a macrocell. The macrocell base station (MBS) partially shares its sub-carriers with femtocell users (FUs) while being protected by per-sub-carrier interference temperature constraint. We formulate this multi-user-multi-channel problem as a non-cooperative game, in which each FU acts individually to maximize its own profits, regardless of the impact on other players. To avoid serious interference to MBS, we introduce a price-based utility function of FUs with a per-channel interference constraint instead of the spectrum mask constraint. We prove the existence and uniqueness of Nash Equilibrium (NE) and introduce fully distributed algorithm based on simultaneous iterative-water-filling (IWF) like algorithm, which adjusts the sub-carrier price iteratively and the maximum transmit power. This approach enables FUs to select suitable sub-carriers and allocate the power in a distributed manner. Meanwhile, it gives sufficient protection to MBS in each sub-carrier. Experimental results have shown that the proposed approach converges fast to the NE while providing sufficient protection to the macrocell users. |
| first_indexed | 2025-02-19T03:24:39Z |
| format | Conference Paper |
| id | ntu-10356/97699 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:24:39Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/976992020-03-07T13:24:47Z Price-based distributed resource allocation for femtocell networks Yuan, Pu Liang, Ying-Chang Bi, Guoan School of Electrical and Electronic Engineering IEEE International Conference on Communication Systems (2012 : Singapore) DRNTU::Engineering::Electrical and electronic engineering In this paper, we investigate the resource allocation issues in spectrum-sharing-based two-tier networks, which are composed of several underlaid femtocells and a macrocell. The macrocell base station (MBS) partially shares its sub-carriers with femtocell users (FUs) while being protected by per-sub-carrier interference temperature constraint. We formulate this multi-user-multi-channel problem as a non-cooperative game, in which each FU acts individually to maximize its own profits, regardless of the impact on other players. To avoid serious interference to MBS, we introduce a price-based utility function of FUs with a per-channel interference constraint instead of the spectrum mask constraint. We prove the existence and uniqueness of Nash Equilibrium (NE) and introduce fully distributed algorithm based on simultaneous iterative-water-filling (IWF) like algorithm, which adjusts the sub-carrier price iteratively and the maximum transmit power. This approach enables FUs to select suitable sub-carriers and allocate the power in a distributed manner. Meanwhile, it gives sufficient protection to MBS in each sub-carrier. Experimental results have shown that the proposed approach converges fast to the NE while providing sufficient protection to the macrocell users. 2013-07-23T03:27:15Z 2019-12-06T19:45:37Z 2013-07-23T03:27:15Z 2019-12-06T19:45:37Z 2012 2012 Conference Paper Yuan, P., Liang, Y.-C., & Bi, G. (2012). Price-based distributed resource allocation for femtocell networks. 2012 IEEE International Conference on Communication Systems (ICCS). https://hdl.handle.net/10356/97699 http://hdl.handle.net/10220/12037 10.1109/ICCS.2012.6406182 en © 2012 IEEE. |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Yuan, Pu Liang, Ying-Chang Bi, Guoan Price-based distributed resource allocation for femtocell networks |
| title | Price-based distributed resource allocation for femtocell networks |
| title_full | Price-based distributed resource allocation for femtocell networks |
| title_fullStr | Price-based distributed resource allocation for femtocell networks |
| title_full_unstemmed | Price-based distributed resource allocation for femtocell networks |
| title_short | Price-based distributed resource allocation for femtocell networks |
| title_sort | price based distributed resource allocation for femtocell networks |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/97699 http://hdl.handle.net/10220/12037 |
| work_keys_str_mv | AT yuanpu pricebaseddistributedresourceallocationforfemtocellnetworks AT liangyingchang pricebaseddistributedresourceallocationforfemtocellnetworks AT biguoan pricebaseddistributedresourceallocationforfemtocellnetworks |