To support wireless communication traffic of Internet-of-Things (IoT) systems in terms of massive connectivity, dynamic spectrum access (DSA) is important issue. This paper proposes spectrum sensor-aided DSA system based on a reinforcement learning (RL) algorithm that aims at efficient spectrum usage for IoT network over the incumbent network. Due to small-form-factor of IoT devices, they do not have spectrum sensing capability. To support DSA of IoT devices, we introduce sensor-aided DSA system that enhances spatial spectrum reusability by means of RL algorithm. With the RL algorithm, proposed DSA system provides self-organizing feature for massive number of IoT devices. We show that the performance of proposed RL based DSA system in various densities of IoT devices utilizing slotted ALOHA protocol that has spectrum access probability learned by proposed DSA system. We also present the performance of proposed RL based DSA system surpass that of distributed Carrier Sensing Multiple Access with Collision Avoidance (CSMA/CA) protocol for channel access coordination. We also present the consistent performance of incumbent user when the IoT devices access to the spectrum band with learned spectrum access probability.
|Title of host publication||2019 IEEE International Conference on Communications, ICC 2019 - Proceedings|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Publication status||Published - 2019 May|
|Event||2019 IEEE International Conference on Communications, ICC 2019 - Shanghai, China|
Duration: 2019 May 20 → 2019 May 24
|Name||IEEE International Conference on Communications|
|Conference||2019 IEEE International Conference on Communications, ICC 2019|
|Period||19/5/20 → 19/5/24|
Bibliographical noteFunding Information:
This work was partly supported by Institute for Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No. 2018-0-00923, Scalable Spectrum Sensing for Beyond 5G Communication) and IITP grant funded by the MSIT (No.2018-0-00170, Virtual Presence in Moving Objects through 5G).
© 2019 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Electrical and Electronic Engineering