Distributed Power Control for Spectrum-Sharing Femtocell Networks Using Stackelberg Game
In this paper, we investigate the distributed power allocation strategies for a spectrum-sharing femtocell network, where a central macrocell underlaid with several femtocells. Assuming that the macrocell protects itself by pricing the interference from the femtocells, a Stackelberg game is formulat...
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| creator | Xin Kang Ying-Chang Liang Garg, H. K. |
| description | In this paper, we investigate the distributed power allocation strategies for a spectrum-sharing femtocell network, where a central macrocell underlaid with several femtocells. Assuming that the macrocell protects itself by pricing the interference from the femtocells, a Stackelberg game is formulated to jointly consider the utility maximization of the macrocell and the femtocells. Then, the Stackelberg equilibrium for the proposed game is studied, and an effective distributed interference price bargaining algorithm with guaranteed convergency is proposed to achieve the equilibrium. Numerical examples are then presented to verify the proposed studies. It is shown that the algorithm is effective in distributed power allocation and macrocell protection requiring minimal network overhead for spectrum-sharing-based two-tier femtocell networks. |
| doi_str_mv | 10.1109/icc.2011.5962650 |
| format | Conference Proceeding |
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It is shown that the algorithm is effective in distributed power allocation and macrocell protection requiring minimal network overhead for spectrum-sharing-based two-tier femtocell networks.</description><subject>Cognitive radio</subject><subject>Femtocell networks</subject><subject>Games</subject><subject>Interference</subject><subject>Macrocell networks</subject><subject>Power control</subject><subject>Resource management</subject><issn>1550-3607</issn><issn>1938-1883</issn><isbn>9781612842325</isbn><isbn>1612842321</isbn><isbn>161284233X</isbn><isbn>9781612842318</isbn><isbn>9781612842332</isbn><isbn>1612842313</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kF1LwzAYheMXuM3dC97kD3S-SZo0uZTqpjBUqIPdjTR7O-PadaQZw39vxXl1Lh7Ow-EQcstgwhiYe-_chANjE2kUVxLOyJApxnXKhViekwEzQidMa3FBxibT_4zLy55JCYlQkF2TYdd9AUhuBBuQ5aPvYvDlIeKavrdHDDRvdzG0Na3aQIs9uhgOTVJ82uB3GzrFJrYO65q-Yjy2YdvRRfcLimjdFusSw4bObIM35KqydYfjU47IYvr0kT8n87fZS_4wTzxPWUzWqcuUEWm_RwAowzNgPC0lcCszg5orKwQiN5Y56ypnoUylrrThyq3LvjQid39ej4irffCNDd-r00PiBzTWVco</recordid><startdate>201106</startdate><enddate>201106</enddate><creator>Xin Kang</creator><creator>Ying-Chang Liang</creator><creator>Garg, H. 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K.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Xin Kang</au><au>Ying-Chang Liang</au><au>Garg, H. K.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Distributed Power Control for Spectrum-Sharing Femtocell Networks Using Stackelberg Game</atitle><btitle>2011 IEEE International Conference on Communications (ICC)</btitle><stitle>icc</stitle><date>2011-06</date><risdate>2011</risdate><spage>1</spage><epage>5</epage><pages>1-5</pages><issn>1550-3607</issn><eissn>1938-1883</eissn><isbn>9781612842325</isbn><isbn>1612842321</isbn><eisbn>161284233X</eisbn><eisbn>9781612842318</eisbn><eisbn>9781612842332</eisbn><eisbn>1612842313</eisbn><abstract>In this paper, we investigate the distributed power allocation strategies for a spectrum-sharing femtocell network, where a central macrocell underlaid with several femtocells. Assuming that the macrocell protects itself by pricing the interference from the femtocells, a Stackelberg game is formulated to jointly consider the utility maximization of the macrocell and the femtocells. Then, the Stackelberg equilibrium for the proposed game is studied, and an effective distributed interference price bargaining algorithm with guaranteed convergency is proposed to achieve the equilibrium. Numerical examples are then presented to verify the proposed studies. It is shown that the algorithm is effective in distributed power allocation and macrocell protection requiring minimal network overhead for spectrum-sharing-based two-tier femtocell networks.</abstract><pub>IEEE</pub><doi>10.1109/icc.2011.5962650</doi><tpages>5</tpages></addata></record> |
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| ispartof | 2011 IEEE International Conference on Communications (ICC), 2011, p.1-5 |
| issn | 1550-3607 1938-1883 |
| language | eng |
| recordid | cdi_ieee_primary_5962650 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Cognitive radio Femtocell networks Games Interference Macrocell networks Power control Resource management |
| title | Distributed Power Control for Spectrum-Sharing Femtocell Networks Using Stackelberg Game |
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