Network association for cognitive communication and radar co-systems: a POMDP formulation
Network association for cognitive communication and radar co-systems: a POMDP formulation
In order to beneficially exploit wireless spectral resources, spectrum sharing between communication systems and radar systems has become a popular research topic. However, traditional network association strategies may not result in an efficient co-system. We circumvent this problem by formulating a partially observable Markov decision process (POMDP) aided network association scheme. For maximizing the network throughput, whilst minimizing the interference imposed on the radar user, communication users are capable of adaptively selecting underlay or overlay access mode. Moreover, a near-optimal reinforcement learning algorithm is proposed considering both the computational complexity and feasibility. Finally, simulations are conducted in order to evaluate the effectiveness of our proposed POMDP based network association scheme.
Communication and radar co-system, Network association, POMDP, Reinforcement learning
Wang, Jingjing
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Guan, Sanghai
502cf484-a402-4014-85c2-7afd239a9fe9
Jiang, Chunxiao
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Zhang, Hongming
ebd930db-9cd8-43ff-8b73-92c1d7f0108b
Ren, Yong
ad146a10-75d8-401c-911b-fd4dcc44eb12
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
27 July 2018
Wang, Jingjing
0b73e219-9dd7-44ec-a260-a53ee004746f
Guan, Sanghai
502cf484-a402-4014-85c2-7afd239a9fe9
Jiang, Chunxiao
16bad068-43b1-41d4-9f6b-211acdb1ae52
Zhang, Hongming
ebd930db-9cd8-43ff-8b73-92c1d7f0108b
Ren, Yong
ad146a10-75d8-401c-911b-fd4dcc44eb12
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Wang, Jingjing, Guan, Sanghai, Jiang, Chunxiao, Zhang, Hongming, Ren, Yong and Hanzo, Lajos
(2018)
Network association for cognitive communication and radar co-systems: a POMDP formulation.
In 2018 IEEE International Conference on Communications, ICC 2018 - Proceedings.
vol. 2018-May,
IEEE.
6 pp
.
(doi:10.1109/ICC.2018.8422762).
Record type:
Conference or Workshop Item
(Paper)
Abstract
In order to beneficially exploit wireless spectral resources, spectrum sharing between communication systems and radar systems has become a popular research topic. However, traditional network association strategies may not result in an efficient co-system. We circumvent this problem by formulating a partially observable Markov decision process (POMDP) aided network association scheme. For maximizing the network throughput, whilst minimizing the interference imposed on the radar user, communication users are capable of adaptively selecting underlay or overlay access mode. Moreover, a near-optimal reinforcement learning algorithm is proposed considering both the computational complexity and feasibility. Finally, simulations are conducted in order to evaluate the effectiveness of our proposed POMDP based network association scheme.
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More information
Published date: 27 July 2018
Venue - Dates:
2018 IEEE International Conference on Communications,, , Kansas City, United States, 2018-05-20 - 2018-05-24
Keywords:
Communication and radar co-system, Network association, POMDP, Reinforcement learning
Identifiers
Local EPrints ID: 425780
URI: http://eprints.soton.ac.uk/id/eprint/425780
PURE UUID: 2d09a2fd-23f4-4aef-a20f-94513fc9b723
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Date deposited: 02 Nov 2018 17:30
Last modified: 18 Mar 2024 02:36
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Contributors
Author:
Jingjing Wang
Author:
Sanghai Guan
Author:
Chunxiao Jiang
Author:
Hongming Zhang
Author:
Yong Ren
Author:
Lajos Hanzo
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