discrete memoryless channel; Europe; Gaussian channels; multiple access channel; Random variables; Receivers; semantic-energy capacity region; Semantics; Simultaneous wireless information and power transfer; SWIPT; Transmitters; Capacity regions; Discrete memoryless channels; Energy-capacity; Information and power transfers; Multiple access channels; Receiver; Semantic-energy capacity region; Electrical and Electronic Engineering
Abstract :
[en] In this paper, we study the fundamental limits of simultaneous semantic information and power transfer in wireless networks, where we consider both the point-to-point case as well as the Gaussian multiple access channel (MAC). Specifically, for the point-to-point case, we consider a three-party communication system, where a transmitter aims to simultaneously convey semantic information to an information receiver and energy to an energy harvesting receiver (ER). An achievable and a converse region in terms of information and energy rates are presented for both the discrete memoryless (DM) and Gaussian channel. For the DM channel, the achievable region is obtained by utilizing the asymptotic equipartition property and a converse region is obtained by using outer bounds on the semantic information rates. For the Gaussian channel, we characterize an achievable region by applying a power splitting technique between the information and the semantic context parts. A converse region is obtained that provides an estimate on the information-energy capacity while taking into account semantics. On the other hand, for the Gaussian MAC case, we consider an hybrid setup where a semantic transmitter and a conventional transmitter are employed subject to an energy harvesting constraint at the ER. Specifically, we characterize the semantic-bit information energy region, by providing an achievable and a converse region. Numerical results show that in both cases a higher performance can be achieved in terms of information and energy rates when considering a low semantic ambiguity code in comparison to the classical coding scheme (without semantic). Moreover, in the context of Gaussian MAC, it is shown that it is preferable to use semantic communications in scenarios with low signal-to-noise ratio (SNR), while conventional communications is more suitable at high SNRs.
Disciplines :
Computer science
Author, co-author :
Khalfet, Nizar
Psomas, Constantinos
CHATZINOTAS, Symeon ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Krikidis, Ioannis
External co-authors :
yes
Language :
English
Title :
Semantic Communications for Simultaneous Wireless Information and Power Transfer
Publication date :
01 January 2025
Journal title :
IEEE Transactions on Communications
ISSN :
0090-6778
eISSN :
1558-0857
Publisher :
Institute of Electrical and Electronics Engineers Inc.
N. Khalfet, C. Psomas, and I. Krikidis are with Department of Electrical and Computer Engineering, University of Cyprus, Cyprus (e-mail: {khalfet.nizar, psomas, krikidis}@ucy.ac.cy). S. Chatzinotas is with the Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, L-1855, Luxembourg (email: symeon.chatzinotas@uni.lu) This work has received funding from the European Research Council (ERC) under the European Union\u2019s Horizon 2020 research and innovation programme (Grant agreement No. 819819) and the European Union\u2019s Horizon Europe programme (ERC, WAVE, Grant agreement No. 101112697). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council Executive Agency. Neither the European Union nor the granting authority can be held responsible for them
C. E. Shannon, "A mathematical theory of communication, " Bell Syst. Tech. J., vol. 27, no. 3, pp. 379-423, Jul. 1948.
W. Weaver, "Recent contributions to the mathematical theory of communication, " Math. Theory Commun., vol. 10, no. 4, pp. 261-281, 2019. [Online]. Available: https://www. jstor. org/table/42581364
A. Mostaani, T. X. Vu, S. K. Sharma, V.-D. Nguyen, Q. Liao, and S. Chatzinotas, "Task-oriented communication design in cyber-physical systems: A survey on theory and applications, " IEEE Access, vol. 10, pp. 133842-133868, 2022.
W. Tong and G. Y. Li, "Nine challenges in artificial intelligence and wireless communications for 6G, " IEEE Wireless Commun., vol. 29, no. 4, pp. 140-145, Aug. 2022.
Z. Weng and Z. Qin, "Semantic communication systems for speech transmission, " IEEE J. Sel. Areas Commun., vol. 39, no. 8, pp. 2434-2444, Aug. 2021.
Z. Qin, X. Tao, J. Lu, W. Tong, and G. Ye Li, "Semantic communications: Principles and challenges, " 2021, arXiv: 2201. 01389.
X. Mu and Y. Liu, "Exploiting semantic communication for nonorthogonal multiple access, " IEEE J. Sel. Areas Commun., vol. 41, no. 8, pp. 2563-2576, Aug. 2023.
B. Guler, A. Yener, and A. Swami, "The semantic communication game, " IEEE Trans. Cogn. Commun. Netw., vol. 4, no. 4, pp. 787-802, Dec. 2018.
S. Guo, Y. Wang, and P. Zhang, "Signal shaping for semantic communication systems with a few message candidates, " 2022, arXiv: 2202. 02072.
H. Xie, Z. Qin, X. Tao, and K. B. Letaief, "Task-oriented multi-user semantic communications, " IEEE J. Sel. Areas Commun., vol. 40, no. 9, pp. 2584-2597, Sep. 2022.
M. Chen, Y. Wang, and H. V. Poor, "Performance optimization for wireless semantic communications over energy harvesting networks, " in Proc. IEEE Int. Conf. Acoust., Speech Signal Process. (ICASSP), May 2022, pp. 8647-8651.
P. Basu, J. Bao, M. Dean, and J. Hendler, "Preserving quality of information by using semantic relationships, " Pervasive Mobile Comput., vol. 11, pp. 188-202, Mar. 2014.
S. Bi, C. K. Ho, and R. Zhang, "Wireless powered communication: Opportunities and challenges, " IEEE Commun. Mag., vol. 53, no. 4, pp. 117-125, Apr. 2015.
Apparatus for Transmitting Electrical Energy, Nikola Tesla, New York, NY, USA, Dec. 1914.
I. Krikidis, S. Timotheou, S. Nikolaou, G. Zheng, D. W. K. Ng, and R. Schober, "Simultaneous wireless information and power transfer in modern communication systems, " IEEE Commun. Mag., vol. 52, no. 11, pp. 104-110, Nov. 2014.
L. R. Varshney, "Transporting information and energy simultaneously, " in Proc. IEEE Int. Symp. Inf. Theory, Toronto, ON, Canada, Jul. 2008, pp. 1612-1616.
P. Grover and A. Sahai, "Shannon meets tesla: Wireless information and power transfer, " in Proc. IEEE Int. Symp. Inf. Theory, Jun. 2010, pp. 2363-2367.
S. Belhadj Amor, S. M. Perlaza, I. Krikidis, and H. V. Poor, "Feedback enhances simultaneous wireless information and energy transmission in multiple access channels, " IEEE Trans. Inf. Theory, vol. 63, no. 8, pp. 5244-5265, Aug. 2017.
N. Khalfet and S. M. Perlaza, "Simultaneous information and energy transmission in the two-user Gaussian interference channel, " IEEE J. Sel. Areas Commun., vol. 37, no. 1, pp. 156-170, Jan. 2019.
J. Park and B. Clerckx, "Joint wireless information and energy transfer in a two-user MIMO interference channel, " IEEE Trans. Wireless Commun., vol. 12, no. 8, pp. 4210-4221, Aug. 2013.
T. Tu Lam, M. Di Renzo, and J. P. Coon, "System-level analysis of SWIPT MIMO cellular networks, " IEEE Commun. Lett., vol. 20, no. 10, pp. 2011-2014, Oct. 2016.
S. B. Amor and S. M. Perlaza, "Fundamental limits of simultaneous energy and information transmission, " in Proc. 23rd Int. Conf. Telecommun. (ICT), Thessaloniki, Greece, May 2016, pp. 1-5.
A. Carleial, "Multiple-access channels with different generalized feedback signals, " IEEE Trans. Inf. Theory, vol. IT-28, no. 6, pp. 841-850, Nov. 1982.
Z. Yang, M. Chen, Z. Zhang, and C. Huang, "Energy efficient semantic communication over wireless networks with rate splitting, " IEEE J. Sel. Areas Commun., vol. 41, no. 5, pp. 1484-1495, May 2023.
Z. Yang, M. Chen, Z. Zhang, and C. Huang, "Energy efficiency optimization of cognitive UAV-assisted edge communication for semantic Internet of Things, " Wireless Commun. Mobile Comput., vol. 2021, Feb. 2021, Art. no. 6682340.
A. Mostaani, T. X. Vu, S. Chatzinotas, and B. Ottersten, "Task-oriented data compression for multi-agent communications over bit-budgeted channels, " IEEE Open J. Commun. Soc., vol. 3, pp. 1867-1886, 2022.
A. Mostaani, T. X. Vu, S. Chatzinotas, and B. Ottersten, "Task-effective compression of observations for the centralized control of a multiagent system over bit-budgeted channels, " IEEE Open J. Commun. Soc., vol. 11, no. 4, pp. 6131-6143, Feb. 2023.
R. H. Etkin, D. N. C. Tse, and H. Wang, "Gaussian interference channel capacity to within one bit, " IEEE Trans. Inf. Theory, vol. 54, no. 12, pp. 5534-5562, Dec. 2008.
C. Suh and D. N. C. Tse, "Feedback capacity of the Gaussian interference channel to within 2 bits, " IEEE Trans. Inf. Theory, vol. 57, no. 5, pp. 2667-2685, May 2011.
G. Kramer, "Genie-aided outer bounds on the capacity of interference channels, " in Proc. IEEE Int. Symp. Inf. Theory, Jun. 2001, p. 103.
Y. Zhong, "A theory of semantic information, " Proceedings, vol. 1, no. 3, p. 129, Jun. 2017. [Online]. Available: https://www. mdpi. com/2504-3900/1/3/129
S. Ulukus et al., "Energy harvesting wireless communications: A review of recent advances, " IEEE J. Sel. Areas Commun., vol. 33, no. 3, pp. 360-381, Mar. 2015.
D. Tse and P. Viswanath, Fundamentals of Wireless Communication. Cambridge, U. K.: Cambridge Univ. Press, 2005.
M. F. Mridha, M. A. Hamid, M. M. Rana, M. E. A. Khan, M. M. Ahmed, and M. T. Sultan, "Semantic error detection and correction in Bangla sentence, " in Proc. Joint 8th Int. Conf. Informat., Electron. Vis. (ICIEV), 3rd Int. Conf. Imag., Vis. Pattern Recognit. (icIVPR), May 2019, pp. 184-189.
S. Pejoski, Z. Hadzi-Velkov, and R. Schober, "Optimal power and time allocation for WPCNs with piece-wise linear EH model, " IEEE Wireless Commun. Lett., vol. 7, no. 3, pp. 364-367, Jun. 2018.
X. Mu, Y. Liu, L. Guo, and N. Al-Dhahir, "Heterogeneous semantic and bit communications: A semi-NOMA scheme, " IEEE J. Sel. Areas Commun., vol. 41, no. 1, pp. 155-169, Jan. 2023.
S. Ma, H. Qi, H. Li, G. Shi, Y. Liang, and N. Al-Dhahir, "A theory for semantic channel coding with many-to-one source, " 2023, arXiv: 2303. 05181.
N. Khalfet, S. M. Perlaza, A. Tajer, and H. V. Poor, "On ultra-reliable and low latency simultaneous information and energy transmission systems, " in Proc. IEEE 20th Int. Workshop Signal Process. Adv. Wireless Commun. (SPAWC), Cannes, France, Jul. 2019, pp. 1-5.
M. Peters et al., "Deep contextualized word representations, " in Proc. Conf. North Amer. Chapter Assoc. Comput. Linguistics, Human Lang. Technol., New Orleans, LA, USA, Jun. 2018, pp. 2227-2237.
R. Morsi, V. Jamali, A. Hagelauer, D. W. K. Ng, and R. Schober, "Conditional capacity and transmit signal design for SWIPT systems with multiple nonlinear energy harvesting receivers, " IEEE Trans. Commun., vol. 68, no. 1, pp. 582-601, Jan. 2020.
T. M. Cover and J. A. Thomas, Elements of Information Theory. Hoboken, NJ, USA: Wiley, 2005.
