Context-Awareness for Device-to-Device Resource Allocation
DOI:
https://doi.org/10.26636/jtit.2025.1.1934Keywords:
cellular network, context-awareness, device-to-device, resource allocationAbstract
The paper investigates a context-aware approach to radio resource allocation for device-to-device (D2D) communication, focusing on solutions that leverage information on user equipment location and environmental features, such as building layouts. A system enabling direct communication by sharing uplink resources with cellular users is considered. Such a system introduces mutual interference between direct and cellular communications, posing challenges related to maintaining adequate performance levels. To address these challenges, various context-based resource allocation methods are analyzed, aiming to optimize spectral efficiency and minimize interference. The study explores the impact that different D2D device densities exert on overall network performance measured by means of spectral efficiency and the signal-to-interference ratio.
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[1] J. Gu, S.J. Bae, B.-G. Choi, and M.Y. Chung, "Dynamic Power Control Mechanism for Interference Coordination of Device-to-Device Communication in Cellular Networks", 2011 Third Internat. Conference on Ubiquitous and Future Networks (ICUFN), Dalian, China, 2011.
View in Google Scholar
[2] P. Janis et al., "Interference-aware Resource Allocation for Device-to-Device Radio Underlaying ellular Networks", VTC Spring 2009 - IEEE 69th Vehicular Technology Conference, Barcelona, Spain, 2009.
View in Google Scholar
[3] S. Sharma and B. Singh, "Weighted cooperative reinforcement learning-based energy-efficient autonomous resource selection strategy for underlay D2D communication", IET Communications, vol. 13, no. 14, pp. 2078-2087, 2019.
View in Google Scholar
[4] N. Reider and G. Fodor, "A Distributed Power Control and Mode Selection Algorithm for D2D Communications", EURASIP Journal on Wireless Communications and Networking, vol. 2012, art. no. 266, 2012.
View in Google Scholar
[5] J. Seppala, T. Koskela, T. Chen, and S. Hakola, "Network Controlled Device-to-Device (D2D) and Cluster Multicast Concept for LTE and LTE-A Networks", 2011 IEEE Wireless Communications and Networking Conference, Cancun, Mexico, 2011.
View in Google Scholar
[6] C.-H. Yu, O. Tirkkonen, K. Doppler, and C. Ribeiro, "On the Performance of Device-to-Device Underlay Communication with Simple Power Control", VTC Spring 2009 - IEEE 69th Vehicular Technology Conference, Barcelona, Spain, 2009.
View in Google Scholar
[7] C.-H. Yu, O. Tirkkonen, K. Doppler, and C. Ribeiro, "Power Optimization of Device-to-Device Communication Underlaying Cellular Communication", 2009 IEEE International Conference on Communications, Dresden, Germany, 2009.
View in Google Scholar
[8] M. Zulhasnine, C. Huang, and A. Srinivasan, "Efficient Resource Allocation for Device-to-Device Communication Underlaying LTE Network", 2010 IEEE 6th Int. Conference on Wireless and Mobile Computing, Networking and Communications, Niagara Falls, Canada, 2010.
View in Google Scholar
[9] M. Rodziewicz, "Location-based Power Control Mechanism for D2D Communication Underlaying a Cellular System", Journal of Telecommunications and Information Technology, vol. 3, pp. 49-53, 2023.
View in Google Scholar
[10] T. Islam and C. Kwon, "Survey on the State-of-the-art in Device-to-Device Communication: A Resource Allocation Perspective", Ad Hoc Networks, vol. 136, art. no. 102978, 2022.
View in Google Scholar
[11] T. Rathod and S. Tanwar, "AI-based Resource Allocation Techniques in D2D Communication: Open Issues and Future Directions", Physical Communication, vol. 66, art. no. 102423, 2024.
View in Google Scholar
[12] Y. Zhi et al., "Deep Reinforcement Learning-based Resource Allocation for D2D Communications in Heterogeneous Cellular Networks", Digital Communications and Networks, vol. 8, no. 5, pp. 834-842, 2022.
View in Google Scholar
[13] P. Bao and G. Yu, "An Interference Management Strategy for Device-to-Device Underlaying Cellular Networks with Partial Location Information", 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC), Sydney, Australia, 2012.
View in Google Scholar
[14] X. Chen et al., "Downlink Resource Allocation for Device-to-Device Communication Underlaying Cellular Networks", 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC), Sydney, Australia, 2012.
View in Google Scholar
[15] H. Min, J. Lee, S. Park, and D. Hong, "Capacity Enhancement Using an Interference Limited Area for Device-to-Device Uplink Underlaying Cellular Networks", IEEE Transactions on Wireless Communications, vol. 10, no. 12, pp. 3995-4000, 2011.
View in Google Scholar
[16] M. Rodziewicz, "Location-based Mode Selection and Resource Allocation in Cellular Networks with D2D Underlay", European Wireless 2015 - 21th European Wireless Conference, Budapest, Hungary, 2015 (https://ieeexplore.ieee.org/document/7147698).
View in Google Scholar
[17] M. Rodziewicz, "Wykorzystanie Informacji o Rozmieszczeniu Budynków do Zarządzania Zasobami Komunikacji Bezpośredniej", Przegląd Telekomunikacyjny - Wiadomości Telekomunikacyjne, vol. 1, no. 4, pp. 343-347, 2024.
View in Google Scholar
[18] H. Wang and X. Chu, "Distance-constrained Resource-sharing Criteria for Device-to-Device Communications Underlaying Cellular Networks", Electronics Letters, vol. 48, no. 9, p. 528, 2012.
View in Google Scholar
[19] Y. Lv, X. Jia, C. Niu and N. Wan, "D2D Network Coverage Analysis Based on Cluster User Equipment Classification and Spectrum Sharing Allocation", 2020 IEEE 6th International Conference on Computer and Communications (ICCC), Chengdu, China, 2020.
View in Google Scholar
[20] K. Doppler et al., "Device-to-Device Communication as an Underlay to LTE-advanced Networks", IEEE Communications Magazine, vol. 47, no. 12, pp. 42-49, 2009.
View in Google Scholar
[21] X. Li et al., "Resource Allocation for Underlay D2D Communication with Proportional Fairness", IEEE Transactions on Vehicular Technology, vol. 67, no. 7, pp. 6244-6258, 2018.
View in Google Scholar
[22] X. Li, L. Ma, Y. Xu, and R. Shankaran, "Resource Allocation for D2D-based V2X Communication with Imperfect CSI", IEEE Internet of Things Journal, vol. 7, no. 4, pp. 3545-3558, 2020.
View in Google Scholar
[23] M. Botsov, S. Stanczak, and P. Fertl, "Comparison of Location-Based and CSI-Based Resource Allocation in D2D-enabled Cellular Networks", 2015 IEEE International Conference on Communications (ICC), London, UK, 2015.
View in Google Scholar
[24] N.P. Kuruvatti et al., "Robustness of Location Based D2D Resource Allocation against Positioning Errors", 2015 IEEE 81st Vehicular Technology Conference (VTC Spring), Glasgow, UK, 2015.
View in Google Scholar
[25] P. Wang et al., "Location-partition-based Channel Allocation and Power Control Methods for C-V2X Communication Networks", Wireless Networks, vol. 26, no. 3, pp. 1563-1575, 2019.
View in Google Scholar
[26] X. Xie, J. Shi, and Q. Yang, "Location Based Channel Resource Allocation for V2V Communications", 2022 IEEE 16th International Conference on Anti-counterfeiting, Security, and Identification (ASID), Xiamen, China, 2022.
View in Google Scholar
[27] METIS, "Mobile and Wireless Communications Enablers for the Twenty-twenty Information", ICT-317669-METIS/D6.1, 2013 [Online]. Available: https://cordis.europa.eu/docs/projects/cnect/9/317669/080/deliverables/001-METISD61v1pdf.pdf.
View in Google Scholar
[28] K. Bąkowski, K. Wesołowski, and M. Rodziewicz, "Simulation Tools for the Evaluation of Radio Interface Technologies for IMT-Advanced and Beyond", in: Simulation Technologies in Networking and Communications, pp. 365-390, 2014.
View in Google Scholar
[29] V. Nurmela et al., "METIS D1.2: Initial Channel Models Based on Measurements", ICT-317669-METIS/D1.2, 2014 [Online]. Available: https://www.researchgate.net/publication/262160344_METIS_D12_Initial_channel_models_based_on_measurements.
View in Google Scholar
[30] ITU, "ITU-R Recommendation P.1411. Propagation Data and Prediction Methods for the Planning of Short-Range Outdoor Radiocommunication Systems and Radio Local Area Networks in the Frequency Range 300 MHz to 100 GHz", 2012.
View in Google Scholar
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