Energy-Efficient Resource Allocation for Heterogeneous Cognitive Radio Networks with Femtocells

By Renchao Xie, F. Yu, Hong Ji, Yi Li. IEEE Transactions on Wireless Communications, 2012

306 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/a2794f31477825ace079b62ea1ce199931c2dc38

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Qingqing Wu
2. F. Yu
3. Geoffrey Y. Li
4. Shunqing Zhang
5. Shugong Xu
6. Chengchao Liang
7. Victor C. M. Leung
8. Chunxiao Jiang

In Electrical and Electronic Engineering

1. Qingqing Wu
2. Rui Zhang
3. Geoffrey Y. Li
4. F. Yu
5. Shunqing Zhang
6. Shugong Xu
7. Chengchao Liang
8. Victor C. M. Leung

Citations in the corpus

• Computation Offloading and Resource Allocation in Wireless Cellular Networks With Mobile Edge Computing (2017, background): “In order to address the data rate issue, the heterogeneous network structure was recently proposed, in which multiple low-power, local coverage enhancing small cells are deployed in one macro cell [2].”
• Resource Allocation for Cognitive Small Cell Networks: A Cooperative Bargaining Game Theoretic Approach (2015, methodology): “In [9], the energy efficiency aspect of spectrum sharing and power allocation was studied using a Stackelberg game in heterogeneous cognitive radio networks with femtocells.”
• Wireless Network Virtualization: A Survey, Some Research Issues and Challenges (2015, background): “It is capable of sensing its radio environment, and adaptively choosing transmission parameters according to sensing outcomes, which improves cognitive radio system performance and avoid interfering with primary users [121].”
• Fundamental Green Tradeoffs: Progresses, Challenges, and Impacts on 5G Networks (2016, methodology): “By incorporating CR technology in the HetNet environment, the cognitive spectrum can be efficiently shared between macro cells and small cells, and an energy efficient resource allocation algorithm to fully exploit the cognitive capability has been proposed in [210].”
• Industrial Internet: A Survey on the Enabling Technologies, Applications, and Challenges (2017, background): “ucts, which are manufactured consuming as little energy as possible [52], [54], [118], [119].”
• In-Band Full-Duplex Relaying: A Survey, Research Issues and Challenges (2015, background): “cognitive radio system performance and avoid interfering with primary users [181].”