Matching Based Two-Timescale Resource Allocation for Cooperative D2D Communication

Yuan, Yiling; Yang, Tao; Hu, Yulin; Feng, Hui; Hu, Bo

doi:10.1109/wcsp.2019.8927889

Cited by 6 publications

(3 citation statements)

References 38 publications

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“…Existing studies mainly focus on D2D sidelink communication in in-coverage scenarios to reduce the network burden, improve the spectrum efficiency, and energy efficiency [6]- [10], as well as improve cellular coverage through multihop D2D communication [11], [12]. These studies propose different schemes for joint scheduling and resource allocation [6]- [8], interference-aware resource allocation [9], and distributed power control [10] for D2D sidelink communication.…”

Section: A Related Workmentioning

confidence: 99%

ProSe Direct Discovery: Experimental Characterization and Context-Aware Heuristic Approach to Extend Public Safety Networks Lifetime

Masood¹,

Alam

Moullec

et al. 2021

IEEE Access

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Device-to-device communication, as provided by the third generation partnership project standardization, can play a vital role in designing a reliable pervasive public safety network, which allows the user equipment (UEs) to communicate directly with each other in emergency situations. In this paper, we analyze the performance of direct discovery, one of the features introduced by proximity services. This is examined in heterogeneous environments using the OpenAirInterface open-source software and USRP hardware platform. The experimental results highlight the suitable values for different gains and frequencies of the UEs for performing reliable baseline direct discovery in out-of-coverage scenarios. We evaluate the performance of direct discovery in terms of reliability and maximum range in outdoor and indoor scenarios. Furthermore, we propose a context-aware energy-efficient heuristic algorithm for direct discovery with the aim of extending the network lifetime in emergency scenarios. This heuristic yields significant improvements in UE lifetime (20-52%) and reduces redundant transmissions of discovery messages compared to the baseline approach.INDEX TERMS Device-to-device communication, public safety network, proximity services, direct discovery.

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Section: A Related Workmentioning

confidence: 99%

ProSe Direct Discovery: Experimental Characterization and Context-Aware Heuristic Approach to Extend Public Safety Networks Lifetime

Masood¹,

Alam

Moullec

et al. 2021

IEEE Access

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“…Thus, 5G has to adopt the essential characteristic of device‐to‐device (D2D) communication that does not relay its data via the BS; instead, it uses proximity services for transmitting and receiving the data. As a result, it offers a better user experience in terms of overall system capacity, network throughput, and reliability to D2D mobile users (DMUs) 2,3 …”

Section: Introductionmentioning

confidence: 99%

Fusion of artificial intelligence and game theory for resource allocation in non‐orthogonal multiple access‐assisted device‐to‐device cooperative communication

Rathod

Gupta

Jadav

et al. 2023

Int J Communication

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SummaryDevice‐to‐device (D2D) communication offers a low‐cost paradigm where two devices in close proximity can communicate without needing a base station (BS). It significantly improves radio resource allocation, channel gain, communication latency, and energy efficiency and offers cooperative communication to enhance the weak user's network coverage. The cellular mobile users (CMUs) share the spectral resources (e.g., power, channel, and spectrum) with D2D mobile users (DMUs), improving spectral efficiency. However, the reuse of radio resources causes various interferences, such as intercell and intracell interference, that degrade the performance of overall D2D communication. To overcome the aforementioned issues, this paper presents a fusion of AI and coalition game for secure resource allocation in non‐orthogonal multiple access (NOMA)‐based cooperative D2D communication. Here, NOMA uses the successive interference cancellation (SIC) technique to reduce the severe impact of interference from the D2D systems. Further, we utilized a coalition game theoretic model that efficiently and securely allocates the resources between CMUs and DMUs. However, in the coalition game, all DMUs participate in obtaining resources from CMUs, which increases the computational overhead of the overall system. For that, we employ artificial intelligence (AI) classifiers that bifurcate the DMUs based on their channel quality parameters, such as reference signal received power (RSRP), received signal strength indicator (RSSI), signal‐to‐noise ratio (SNR), and channel quality indicator (CQI). It only forwards the DMUs that have better channel quality parameters into the coalition game, thus reducing the computational overhead of the overall D2D communication. The performance of the proposed scheme is evaluated using various statistical metrics, for example, precision score, accuracy, recall, F1 score, overall sum rate, and secrecy capacity, where an accuracy of 99.38% is achieved while selecting DMUs for D2D communication.

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“…The mode selection allows the DUs to switch among an underlay, overlay, or cooperative relay mode. A two-timescale resource allocation scheme was developed in [13] to achieve a win-win situation in a D2D network, where the CUs are far away from the BS and the DUs can serve as relays to assist the CUs. The equipment cost and self-interference of the relays were considered.…”

Section: Introductionmentioning

confidence: 99%

Sum-Rate Maximization for Multi-Reconfigurable Intelligent Surface-Assisted Device-to-Device Communications

Cao,

Lv,

et al. 2021

Preprint

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This paper proposes to deploy multiple reconfigurable intelligent surfaces (RISs) in device-to-device (D2D)underlaid cellular systems. The uplink sum-rate of the system is maximized by jointly optimizing the transmit powers of the users, the pairing of the cellular users (CUs) and D2D links, the receive beamforming of the base station (BS), and the configuration of the RISs, subject to the power limits and qualityof-service (QoS) of the users. To address the non-convexity of this problem, we develop a new block coordinate descent (BCD) framework which decouples the D2D-CU pairing, power allocation and receive beamforming, from the configuration of the RISs. Specifically, we derive closed-form expressions for the power allocation and receive beamforming under any D2D-CU pairing, which facilitates interpreting the D2D-CU pairing as a bipartite graph matching solved using the Hungarian algorithm. We transform the configuration of the RISs into a quadratically constrained quadratic program (QCQP) with multiple quadratic constraints. A low-complexity algorithm, named Riemannian manifold-based alternating direction method of multipliers (RM-ADMM), is developed to decompose the QCQP into simpler QCQPs with a single constraint each, and solve them efficiently in a decentralized manner. Simulations show that the proposed algorithm can significantly improve the sum-rate of the D2Dunderlaid system with a reduced complexity, as compared to its alternative based on semidefinite relaxation (SDR).

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Matching Based Two-Timescale Resource Allocation for Cooperative D2D Communication

Cited by 6 publications

References 38 publications

ProSe Direct Discovery: Experimental Characterization and Context-Aware Heuristic Approach to Extend Public Safety Networks Lifetime

ProSe Direct Discovery: Experimental Characterization and Context-Aware Heuristic Approach to Extend Public Safety Networks Lifetime

Fusion of artificial intelligence and game theory for resource allocation in non‐orthogonal multiple access‐assisted device‐to‐device cooperative communication

Sum-Rate Maximization for Multi-Reconfigurable Intelligent Surface-Assisted Device-to-Device Communications

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