Queue-Aware Dynamic Resource Reuse and Joint Allocation Algorithm in Self-Backhaul Small Cell Networks

Tang, Lun; Wei, Yannan; He, Lanqin; Liao, Hao; Chen, Qianbin

doi:10.1109/access.2018.2875958

Cited by 4 publications

(3 citation statements)

References 28 publications

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“…represents the maximum length of queue backlog that service o can tolerate, and T max o represents the maximum latency threshold of the service o. We assume that the system can estimate the unfinished traffic data in their queues accurately [31]. Throughout the paper, if the queue Q o,u (t) subjects to the definition of queue stability in (10), we can prove that the queue is strongly stable [32].…”

Section: B Overall Network Utilitymentioning

confidence: 99%

Dynamic Resource Allocation With RAN Slicing and Scheduling for uRLLC and eMBB Hybrid Services

Feng

et al. 2020

IEEE Access

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To cope with the limited radio and power resources, designing energy-and cost-efficient resource allocation strategy with RAN slicing and scheduling is important in ensuring the extreme QoS of differentiated Internet of things (IoT) services. In this regard, we focus on guaranteeing the latency and reliability of sporadic uRLLC uplink traffic while improving the quality of continuous eMBB services (e.g., quality of the video) together in this paper. Firstly, a dynamic optimization model considering power consumption and service quality is used to construct the cost function in both time domain and frequency bandwidth for heterogeneous services, subject to the latency constraint. Secondly, given its complexity, a novel two-timescale algorithm with employing Lyapunov optimization is designed, including two sub-algorithms: long-timescale bandwidth allocation and short-timescale service control. In further, the theoretical optimality is analyzed according to the relationships between control parameters and service performances. The utility of our approach and its hard latency guarantee are also illustrated through simulation results under tolerable power consumption. INDEX TERMS 5G, network slicing, radio access network, resource allocation, heterogeneous services.

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Section: B Overall Network Utilitymentioning

confidence: 99%

Dynamic Resource Allocation With RAN Slicing and Scheduling for uRLLC and eMBB Hybrid Services

Feng

et al. 2020

IEEE Access

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“…is a diagonal matrix, and the diagonal elements are all negative, therefore, the Hessian matrix of objective function is a negative matrix, the objective function of problem (16) is strictly convex on the space spanned by [37][38][39]. Here we analyze the situation that the power control and interference constraint take the equal sign simultaneously, then, the problem can be formulated as…”

Section: The Optimal Power Control Schemementioning

confidence: 99%

“…In [15], the energy-saving user scheduling and power control in downlink multicell multiuser orthogonal frequency division multiple access (OFDMA) networks is investigated only with the channel distribution information, which can solve the resource allocation problem subject to the minimum throughput constraint of each user, even if the channel gain is the same for all the subcarriers. In [16], a stochastic optimization programming in dynamic wireless self-backhaul small cell networks is formulated to investigate the spectral efficiency maximization by both considering the resource reuse and allocation, additionally, the random and finite traffic loads are also considered to keep the system stable. The resource allocation problem in two-tier heterogenous networks with massive MIMO is investigated in [17], which used cellular frequency bands and millimeter wave frequency bands for wireless backhaul links.…”

Section: Introductionmentioning

confidence: 99%

Resource Allocation for Relay-Based OFDMA Power Line Communication System

Zhu

Chen

He³

2019

Electronics

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In this paper, we investigate the resource allocation for multi-user orthogonal frequency division multiple access (OFDMA) power line communication (PLC) systems, which satisfy both the total average transmit power constrained by PLC networks and the required interference limitations. First, we propose an optimal resource allocation scheme, with respect to joint consideration of the subcarrier and power constraint to maximize the throughput of the PLC system. Then, we divide the intractable problem into two individual subproblems to decrease the computational burden, which can avoid proceeding the mixed integer nonlinear programming (MINLP) problem. The proposed resource allocation scheme can ensure the optimality and efficiency of the system with rigorous proofs. The simulation results show that our proposed resource allocation scheme for the PLC system outperforms other algorithms, and is efficient with acceptable complexity.

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Online Learning and Resource Allocation for User Experience Improvement in Mobile Edge Clouds

Lin

Qiu

2021

ICC 2021 - IEEE International Conference on Communications

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Queue-Aware Dynamic Resource Reuse and Joint Allocation Algorithm in Self-Backhaul Small Cell Networks

Cited by 4 publications

References 28 publications

Dynamic Resource Allocation With RAN Slicing and Scheduling for uRLLC and eMBB Hybrid Services

Dynamic Resource Allocation With RAN Slicing and Scheduling for uRLLC and eMBB Hybrid Services

Resource Allocation for Relay-Based OFDMA Power Line Communication System

Online Learning and Resource Allocation for User Experience Improvement in Mobile Edge Clouds

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