Coalitional Games for Joint Co-Tier and Cross-Tier Cooperative Spectrum Sharing in Dense Heterogeneous Networks
With the dense deployment of small cells in the next generation of mobile networks, the users from different tiers suffer from high downlink interferences. In this paper, we propose a game theoretic approach for joint co-tier and cross-tier collaboration in heterogeneous networks and analyze the rel...
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| Format: | Article |
| Language: | English |
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IEEE
2016-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/7464238/ |
| _version_ | 1819120861855088640 |
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| author | Mouna Hajir Rami Langar Francois Gagnon |
| author_facet | Mouna Hajir Rami Langar Francois Gagnon |
| author_sort | Mouna Hajir |
| collection | DOAJ |
| description | With the dense deployment of small cells in the next generation of mobile networks, the users from different tiers suffer from high downlink interferences. In this paper, we propose a game theoretic approach for joint co-tier and cross-tier collaboration in heterogeneous networks and analyze the relevance of the proposed scheme. First, we propose a coalition structure game with a weighted Owen value as imputation, where the small-cell base stations (SBSs) and their connecting macrocell user equipments (MUEs) form a priori union. We prove that the proposed framework optimizes the users profit. As an additional global benefit, the SBSs are encouraged to host the harmed public users in their vicinity. Second, we propose a canonical game with a weighted solidarity value as imputation to allow cooperation among SBSs and MUEs when they fail to connect to nearby SBSs. We prove that the weak players are protected in this scheme and that a high degree of fairness is provided in the game. We compare through extensive simulations the proposed frameworks with state-of-the-art resource allocation solutions, access modes, and legacy game-theoretic approaches. We show that the proposed framework obtains the best performances for the MUEs and small-cells user equipments in terms of throughput and fairness. Throughput gain is in order of 40% even reaching 50% for both types of users. |
| first_indexed | 2024-12-22T06:27:24Z |
| format | Article |
| id | doaj.art-27805f2564ce488eacdc3121d27db201 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T06:27:24Z |
| publishDate | 2016-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-27805f2564ce488eacdc3121d27db2012022-12-21T18:35:48ZengIEEEIEEE Access2169-35362016-01-0142450246410.1109/ACCESS.2016.25624987464238Coalitional Games for Joint Co-Tier and Cross-Tier Cooperative Spectrum Sharing in Dense Heterogeneous NetworksMouna Hajir0https://orcid.org/0000-0001-9513-0059Rami Langar1Francois Gagnon2Department of Electrical Engineering, Lacime Laboratory, Ecole de Technologie Superieure, Montreal, QC, CanadaLaboratoire d'Informatique de Paris 6, Pierre and Marie Curie University, Paris, FranceDepartment of Electrical Engineering, Lacime Laboratory, Ecole de Technologie Superieure, Montreal, QC, CanadaWith the dense deployment of small cells in the next generation of mobile networks, the users from different tiers suffer from high downlink interferences. In this paper, we propose a game theoretic approach for joint co-tier and cross-tier collaboration in heterogeneous networks and analyze the relevance of the proposed scheme. First, we propose a coalition structure game with a weighted Owen value as imputation, where the small-cell base stations (SBSs) and their connecting macrocell user equipments (MUEs) form a priori union. We prove that the proposed framework optimizes the users profit. As an additional global benefit, the SBSs are encouraged to host the harmed public users in their vicinity. Second, we propose a canonical game with a weighted solidarity value as imputation to allow cooperation among SBSs and MUEs when they fail to connect to nearby SBSs. We prove that the weak players are protected in this scheme and that a high degree of fairness is provided in the game. We compare through extensive simulations the proposed frameworks with state-of-the-art resource allocation solutions, access modes, and legacy game-theoretic approaches. We show that the proposed framework obtains the best performances for the MUEs and small-cells user equipments in terms of throughput and fairness. Throughput gain is in order of 40% even reaching 50% for both types of users.https://ieeexplore.ieee.org/document/7464238/Small-cellsheterogeneous networksresource allocationinterference mitigationgame theorycooperative games |
| spellingShingle | Mouna Hajir Rami Langar Francois Gagnon Coalitional Games for Joint Co-Tier and Cross-Tier Cooperative Spectrum Sharing in Dense Heterogeneous Networks IEEE Access Small-cells heterogeneous networks resource allocation interference mitigation game theory cooperative games |
| title | Coalitional Games for Joint Co-Tier and Cross-Tier Cooperative Spectrum Sharing in Dense Heterogeneous Networks |
| title_full | Coalitional Games for Joint Co-Tier and Cross-Tier Cooperative Spectrum Sharing in Dense Heterogeneous Networks |
| title_fullStr | Coalitional Games for Joint Co-Tier and Cross-Tier Cooperative Spectrum Sharing in Dense Heterogeneous Networks |
| title_full_unstemmed | Coalitional Games for Joint Co-Tier and Cross-Tier Cooperative Spectrum Sharing in Dense Heterogeneous Networks |
| title_short | Coalitional Games for Joint Co-Tier and Cross-Tier Cooperative Spectrum Sharing in Dense Heterogeneous Networks |
| title_sort | coalitional games for joint co tier and cross tier cooperative spectrum sharing in dense heterogeneous networks |
| topic | Small-cells heterogeneous networks resource allocation interference mitigation game theory cooperative games |
| url | https://ieeexplore.ieee.org/document/7464238/ |
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