Abstract
In this paper, we consider a cognitive radio network with energy harvesting secondary users and orthogonal channels for the primary users. Secondary users have finite capacity batteries to store harvested energy for future use. Secondary users can use the primary users' channel and transmit their data if the channel is not occupied by the primary user. We define an instantaneous reward for the secondary users which is equal to the throughput if the channel is available. Otherwise, we assign a negative reward to the secondary user as a penalty. We formulate the long term average reward maximization problem for each secondary user. We extend the fixed fraction policy in [1] to our setup and show that it yields near optimal performance. We derive an upper bound on the long term average reward, as well as additive and multiplicative lower bounds. We observe that, for energy arrivals that are frequent and when secondary users have several channel options to choose from, the secondary users are better off spending all available energy immediately, i.e., a greedy policy is a better choice whereas the fixed fraction policy is better when the energy arrivals are scarce.
| Original language | English (US) |
|---|---|
| Title of host publication | 2017 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781509059089 |
| DOIs | |
| State | Published - May 3 2017 |
| Event | 2017 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2017 - San Francisco, United States Duration: Mar 19 2017 → Mar 22 2017 |
Publication series
| Name | 2017 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2017 |
|---|
Other
| Other | 2017 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2017 |
|---|---|
| Country/Territory | United States |
| City | San Francisco |
| Period | 3/19/17 → 3/22/17 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Signal Processing
- Renewable Energy, Sustainability and the Environment
- Media Technology
- Software
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