Resource management for heterogeneous semantic and bit communication systems

Meng Zhang; Ruikang Zhong; Xidong Mu; Yue Chen; Yuanwei Liu

doi:10.1109/ICCWorkshops57953.2023.10283693

Resource management for heterogeneous semantic and bit communication systems

Meng Zhang
, Ruikang Zhong
, Xidong Mu
, Yue Chen
, Yuanwei Liu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

15 Citations (Scopus)

Abstract

A multi-user heterogeneous semantic and bit communication framework is proposed. An access point (AP) serves multiple users via either the semantic communication (SemCom) or the conventional bit communication (BitCom). Orthogonal multiple access (OMA) and non-orthogonal multiple access (NOMA) techniques are employed for efficiently facilitating this heterogeneous multi-user network. A long-term (equivalent) semantic throughput maximization problem is formulated for jointly optimizing the communication mode selection, NOMA user pairing scheme, and the corresponding resource allocation at each time slot. A twin-delayed deep deterministic policy gradient with reference neuron enhanced Softmax (TD3-RNS) algorithm is proposed, where a fixed-value neuron is employed as the reference to improve the training efficiency. Simulation results demonstrate that 1) the proposed NOMA-based heterogeneous transmission outperforms the baselines which merely use SemCom or BitCom; 2) the proposed TD3-RNS achieves superior performance than the conventional TD3 algorithm.

Original language	English
Title of host publication	2023 IEEE International Conference on Communications Workshops (ICC 2023 Workshops): Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1629-1634
Number of pages	6
ISBN (Electronic)	9798350333077
DOIs	https://doi.org/10.1109/ICCWorkshops57953.2023.10283693
Publication status	Published - 23 Oct 2023
Externally published	Yes
Event	2023 IEEE International Conference on Communications Workshops, ICC Workshops 2023 - Rome, Italy Duration: 28 May 2023 → 01 Jun 2023

Publication series

Name	IEEE International Conference on Communications Workshops (ICC Workshops): Proceedings
Publisher	IEEE
ISSN (Print)	2164-7038
ISSN (Electronic)	2694-2941

Conference

Conference	2023 IEEE International Conference on Communications Workshops, ICC Workshops 2023
Country/Territory	Italy
City	Rome
Period	28/05/2023 → 01/06/2023

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Safety, Risk, Reliability and Quality
Instrumentation

Access to Document

10.1109/ICCWorkshops57953.2023.10283693Licence: Unspecified

Scaling ‘down’ microwave-assisted in situ amorphisation for personalisation of paediatric formulations
Zhang, M. (Author), Zhao, M. (Supervisor) & Andrews, G. (Supervisor), Jul 2025
Student thesis: Doctoral Thesis › Doctor of Philosophy

Cite this

Zhang, M., Zhong, R., Mu, X., Chen, Y., & Liu, Y. (2023). Resource management for heterogeneous semantic and bit communication systems. In 2023 IEEE International Conference on Communications Workshops (ICC 2023 Workshops): Proceedings (pp. 1629-1634). (IEEE International Conference on Communications Workshops (ICC Workshops): Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCWorkshops57953.2023.10283693

Zhang, Meng ; Zhong, Ruikang ; Mu, Xidong et al. / Resource management for heterogeneous semantic and bit communication systems. 2023 IEEE International Conference on Communications Workshops (ICC 2023 Workshops): Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 1629-1634 (IEEE International Conference on Communications Workshops (ICC Workshops): Proceedings).

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abstract = "A multi-user heterogeneous semantic and bit communication framework is proposed. An access point (AP) serves multiple users via either the semantic communication (SemCom) or the conventional bit communication (BitCom). Orthogonal multiple access (OMA) and non-orthogonal multiple access (NOMA) techniques are employed for efficiently facilitating this heterogeneous multi-user network. A long-term (equivalent) semantic throughput maximization problem is formulated for jointly optimizing the communication mode selection, NOMA user pairing scheme, and the corresponding resource allocation at each time slot. A twin-delayed deep deterministic policy gradient with reference neuron enhanced Softmax (TD3-RNS) algorithm is proposed, where a fixed-value neuron is employed as the reference to improve the training efficiency. Simulation results demonstrate that 1) the proposed NOMA-based heterogeneous transmission outperforms the baselines which merely use SemCom or BitCom; 2) the proposed TD3-RNS achieves superior performance than the conventional TD3 algorithm.",

author = "Meng Zhang and Ruikang Zhong and Xidong Mu and Yue Chen and Yuanwei Liu",

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Zhang, M, Zhong, R, Mu, X, Chen, Y & Liu, Y 2023, Resource management for heterogeneous semantic and bit communication systems. in 2023 IEEE International Conference on Communications Workshops (ICC 2023 Workshops): Proceedings. IEEE International Conference on Communications Workshops (ICC Workshops): Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 1629-1634, 2023 IEEE International Conference on Communications Workshops, ICC Workshops 2023, Rome, Italy, 28/05/2023. https://doi.org/10.1109/ICCWorkshops57953.2023.10283693

Resource management for heterogeneous semantic and bit communication systems. / Zhang, Meng; Zhong, Ruikang; Mu, Xidong et al.
2023 IEEE International Conference on Communications Workshops (ICC 2023 Workshops): Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. p. 1629-1634 (IEEE International Conference on Communications Workshops (ICC Workshops): Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Resource management for heterogeneous semantic and bit communication systems

AU - Zhang, Meng

AU - Zhong, Ruikang

AU - Mu, Xidong

AU - Chen, Yue

AU - Liu, Yuanwei

PY - 2023/10/23

Y1 - 2023/10/23

N2 - A multi-user heterogeneous semantic and bit communication framework is proposed. An access point (AP) serves multiple users via either the semantic communication (SemCom) or the conventional bit communication (BitCom). Orthogonal multiple access (OMA) and non-orthogonal multiple access (NOMA) techniques are employed for efficiently facilitating this heterogeneous multi-user network. A long-term (equivalent) semantic throughput maximization problem is formulated for jointly optimizing the communication mode selection, NOMA user pairing scheme, and the corresponding resource allocation at each time slot. A twin-delayed deep deterministic policy gradient with reference neuron enhanced Softmax (TD3-RNS) algorithm is proposed, where a fixed-value neuron is employed as the reference to improve the training efficiency. Simulation results demonstrate that 1) the proposed NOMA-based heterogeneous transmission outperforms the baselines which merely use SemCom or BitCom; 2) the proposed TD3-RNS achieves superior performance than the conventional TD3 algorithm.

AB - A multi-user heterogeneous semantic and bit communication framework is proposed. An access point (AP) serves multiple users via either the semantic communication (SemCom) or the conventional bit communication (BitCom). Orthogonal multiple access (OMA) and non-orthogonal multiple access (NOMA) techniques are employed for efficiently facilitating this heterogeneous multi-user network. A long-term (equivalent) semantic throughput maximization problem is formulated for jointly optimizing the communication mode selection, NOMA user pairing scheme, and the corresponding resource allocation at each time slot. A twin-delayed deep deterministic policy gradient with reference neuron enhanced Softmax (TD3-RNS) algorithm is proposed, where a fixed-value neuron is employed as the reference to improve the training efficiency. Simulation results demonstrate that 1) the proposed NOMA-based heterogeneous transmission outperforms the baselines which merely use SemCom or BitCom; 2) the proposed TD3-RNS achieves superior performance than the conventional TD3 algorithm.

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M3 - Conference contribution

AN - SCOPUS:85177828156

T3 - IEEE International Conference on Communications Workshops (ICC Workshops): Proceedings

SP - 1629

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BT - 2023 IEEE International Conference on Communications Workshops (ICC 2023 Workshops): Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 28 May 2023 through 1 June 2023

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Zhang M, Zhong R, Mu X, Chen Y, Liu Y. Resource management for heterogeneous semantic and bit communication systems. In 2023 IEEE International Conference on Communications Workshops (ICC 2023 Workshops): Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. p. 1629-1634. (IEEE International Conference on Communications Workshops (ICC Workshops): Proceedings). doi: 10.1109/ICCWorkshops57953.2023.10283693

Resource management for heterogeneous semantic and bit communication systems

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

Fingerprint

Student theses

Scaling ‘down’ microwave-assisted in situ amorphisation for personalisation of paediatric formulations

Cite this