Sökning: id:"swepub:oai:DiVA.org:miun-47511" >
Deep RL-assisted En...
Deep RL-assisted Energy Harvesting in CR-NOMA Communications for NextG IoT Networks
-
Ullah, Syed Ali (författare)
-
Zeb, Shah (författare)
-
- Mahmood, Aamir, 1980- (författare)
- Mittuniversitetet,Institutionen för informationssystem och –teknologi
-
visa fler...
-
Hassan, Syed-Ali (författare)
-
- Gidlund, Mikael, 1972- (författare)
- Mittuniversitetet,Institutionen för informationssystem och –teknologi
-
visa färre...
-
(creator_code:org_t)
- IEEE conference proceedings, 2022
- 2022
- Engelska.
-
Ingår i: 2022 IEEE GLOBECOM Workshops, GC Wkshps 2022 - Proceedings. - : IEEE conference proceedings. - 9781665459754 ; , s. 74-79
- Relaterad länk:
-
https://urn.kb.se/re...
-
visa fler...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- Zero-energy radios in energy-constrained devices are envisioned as key enablers to realizing the next-generation Internet-of-things (NG-IoT) networks for ultra-dense sensing and monitoring. This paper presents analytical modeling and analysis of the energy-efficient uplink transmission of an energyconstrained secondary sensor operating opportunistically among several primary sensors. The considered scenario assumes that all primary sensors transmit in a round-robin, time division multiple access-based schemes, and the secondary sensor is admitted in the time slot of each primary sensor using a nonorthogonal multiple access technique, inspired by cognitive radio. The energy efficiency of the secondary sensor is maximized by exposing it to a deep reinforcement learning-based algorithm, recognized as a deep deterministic policy gradient (DDPG). Our results demonstrate that the DDPG-based transmission scheme outperforms the conventional random and greedy algorithms in terms of energy efficiency at different operating conditions.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Kommunikationssystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Communication Systems (hsv//eng)
Nyckelord
- deep deterministic policy gradient (DDPG)
- energy efficiency (EE).
- Next-generation Internet-of-things (NG-IoT)
- non-orthogonal multiple access (NOMA)
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
Hitta via bibliotek
Till lärosätets databas