Resource Allocation for a Reliable D2D Enabled Cellular Network in Factories of the Future

Sanusi, Idayat O.; Nasr, Karim M.; Moessner, Klaus

doi:10.1109/eucnc48522.2020.9200942

Cited by 3 publications

(5 citation statements)

References 11 publications

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“…The performance of the presented algorithm is verified for an industrial factory setting. The simulation scenario and channel models used is as depicted in [9]. It is assumed that CUEs have been pre-assigned a sub-channel each.…”

Section: Example Case Studies Simulation Results and Discussionmentioning

confidence: 99%

“…The QoS admission and power allocation is similar to the joint admission and power control (JAPC) presented in [9]. For a CUE c i to share resources with a DUE d j , constraints 5(a) to 5(e) must be satisfied.…”

Section: Qos Admission and Power Allocationmentioning

confidence: 99%

“…In particular, matching theory has been investigated for allocating cellular resources to D2D users. The deferred acceptance (DA) algorithm was applied to the stable matching problem (a variant of the matching game problem) for resource allocation of D2D users sharing cellular channels and for matching secondary users to primary user channels in cognitive radio networks [5][6][7][8][9][10][11]. The deferred acceptance solution to the stable matching problem is typically used for equally-sized opposite sides to be matched.…”

Section: Introductionmentioning

confidence: 99%

“…As an extension to the work presented in [9], this paper studies resource allocation for D2D-links sharing resources with cellular users in a wireless industrial network for factories of the future (FoF). We present a matching game solution denoted as priced-DA (p-DA) which uses a reward-based mechanism to ensure stability and improve resource sharing.…”

Section: Introductionmentioning

confidence: 99%

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A Priced-Deferred Acceptance (p-DA) Technique for D2D Communication in Factories of the Future

Sanusi

Nasr

Moessner

2021

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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The Deferred Acceptance (DA) algorithm has often been used to study spectrum sharing and to solve the assignment problem of Device-to-Device (D2D) links co-existing with traditional cellular users. We present a new reward-based DA algorithm denoted as priced-DA or (p-DA) to improve reuse gains in scenarios where there are variations in the number of cellular users and D2D links and when there are variations in the length of the preference lists. Interference coordination is implemented by jointly managing the power allocation and quality of service (QoS) admission control based on the inter-distances between devices. Simulation case studies demonstrate the advantages of the presented p-DA technique in comparison to other tested centralised approaches.

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Section: Example Case Studies Simulation Results and Discussionmentioning

confidence: 99%

Section: Qos Admission and Power Allocationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Priced-Deferred Acceptance (p-DA) Technique for D2D Communication in Factories of the Future

Sanusi

Nasr

Moessner

2021

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

Self Cite

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“…Similarly, in [16], the proposed real-time wireless control systems for D2D communication were primarily focused on transmission power optimization within the confines of URLLC, and a Rayleigh fading channel is used, which decreases power consumption but is not as effective as Rician fading. The authors in [17] formulated an optimal power allocation problem in an uplink D2D communication scenario under a cellular network with Rayleigh fading, maximized the overall system throughput of the communication system, and ensured the URLLC requirements.…”

Section: Related Workmentioning

confidence: 99%

Optimizing Power Allocation for D2D Communication with URLLC under Rician Fading Channel: A Learning-to-Optimize Approach

Muhammad,

Jiang,

Muhammad Umer

et al. 2023

Intelligent Automation &Amp; Soft Computing

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To meet the high-performance requirements of fifth-generation (5G) and sixth-generation (6G) wireless networks, in particular, ultra-reliable and low-latency communication (URLLC) is considered to be one of the most important communication scenarios in a wireless network. In this paper, we consider the effects of the Rician fading channel on the performance of cooperative device-to-device (D2D) communication with URLLC. For better performance, we maximize and examine the system's minimal rate of D2D communication. Due to the interference in D2D communication, the problem of maximizing the minimum rate becomes non-convex and difficult to solve. To solve this problem, a learning-to-optimize-based algorithm is proposed to find the optimal power allocation. The conventional branch and bound (BB) algorithm are used to learn the optimal pruning policy with supervised learning. Ensemble learning is used to train the multiple classifiers. To address the imbalanced problem, we used the supervised undersampling technique. Comparisons are made with the conventional BB algorithm and the heuristic algorithm. The outcome of the simulation demonstrates a notable performance improvement in power consumption. The proposed algorithm has significantly low computational complexity and runs faster as compared to the conventional BB algorithm and a heuristic algorithm.

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Cognitive D2D Finite Blocklength Transmissions With the Presence of Time-Selective Interference

Sharma

Raut

Tsiftsis

et al. 2021

IEEE Trans. Veh. Technol.

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Resource Allocation for a Reliable D2D Enabled Cellular Network in Factories of the Future

Cited by 3 publications

References 11 publications

A Priced-Deferred Acceptance (p-DA) Technique for D2D Communication in Factories of the Future

A Priced-Deferred Acceptance (p-DA) Technique for D2D Communication in Factories of the Future

Optimizing Power Allocation for D2D Communication with URLLC under Rician Fading Channel: A Learning-to-Optimize Approach

Cognitive D2D Finite Blocklength Transmissions With the Presence of Time-Selective Interference

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