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| Content Provider | IET Digital Library |
|---|---|
| Author | Zhou, Mingyue Zhao, Xiaohui |
| Abstract | Most of traditional power allocation algorithms are often based on maximum capacity technology (MCT) in cognitive radio networks (CRNs) at the expense of higher energy consumption. The optimisation of energy efficiency power allocation schemes are important performance in green communication. This study investigates the energy efficient power allocation for orthogonal frequency division multiplexing based CRNs in underlay mode. The authors’ scheme is obtained by optimising an objective function consisting of the users’ performance degradation and the network interference, in the same time to track time-varying target of signal to inference plus noise ratio (SINR) under maximum transmit power for each cognitive user and interference power constraint from primary user. A convex optimisation problem is formulated where the tradeoff between energy consumption and transmission capacity is considered, and a distributed algorithm is developed to solve this problem. Simulation results show that the authors’ proposed algorithm can guarantee an acceptable target SINR for all cognitive users and significantly improves energy efficiency compared with throughput per Joule and MCT schemes. Furthermore, the proposed algorithm with the introduced appropriate weight parameters can get higher transmission capacity. |
| Starting Page | 2445 |
| Ending Page | 2451 |
| Page Count | 7 |
| ISSN | 17518628 |
| Volume Number | 10 |
| e-ISSN | 17518636 |
| Issue Number | Issue 17, Nov (2016) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-com/10/17 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-com.2016.0274 |
| Journal | IET Communications |
| Publisher Date | 2016-11-24 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Cognitive Radio Cognitive Radio Network Cognitive User Convex Optimisation Problem Convex Programming CRN Distributed Algorithm Electromagnetic Compatibility Energy Conservation Energy Consumption Energy-efficient Power Allocation Algorithm Environmental Factors Green Communication Interference Interference Power Constraint Maximum Transmit Power Modulation And Coding Method Network Interference Objective Function Optimisation OFDM Modulation Optimisation Technique Orthogonal Frequency Division Multiplexing System Performance Degradation Primary User Radio Frequency Interference Radio Link And Equipment Radio Network Signal to Inference Plus Noise Ratio SINR Target Tracking Telecommunication Power Management Time-varying Target Tracking Transmission Capacity Underlay Mode |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Computer Science Applications |
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