On Resource Allocation for Downlink Power Minimization in OFDMA Small Cells in a Cloud-RAN

Abdelnasser, Amr; Hossain, Ekram

doi:10.1109/glocom.2014.7417612

Cited by 4 publications

(11 citation statements)

References 13 publications

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“…The problem of providing power-efficient 5G systems under QoS constraints through joint user transmission scheduling and power allocation has been extensively addressed in the literature. As an example, the downlink joint power and wireless resource allocation problem in C-RANs under minimum SINR constraints has been considered in [12][13][14][15][16]. In [9], a cross-layer approach for the power-efficient allocation of network resources is considered where both the RRHs and the BBU pool are assumed to have limited computational and hardware resources.…”

Section: Related Workmentioning

confidence: 99%

“…s∈S a rs (τ ) = 0}; • Action: at each time slot t, we need to find the optimal scheduling policy a(t), the subset y(t) of active RRHs to serve those requests, and the transmission power profile p(t). Accordingly, the actions to be taken can be defined as the 3-tuple (a(t), y(t), p(t)); • Single Slot Reward: the single slot reward consists in the single slot weighted power consumption C(a(t), p(t), y(t)) in (12).…”

Section: Problem Formulationmentioning

confidence: 99%

“…This problem is not trivial, and it is further exacerbated when minimum Quality of Service (QoS) requirements, such as temporal deadlines and Signal-to-interference-plus-noise ratio (SINR), are considered [11]. Due to its complexity and importance, many solutions to the green management of C-RANs have been proposed in the literature [9,[12][13][14][15][16][17][18][19][20]. However, those solutions have not been designed to deal with the relevant case of finite-horizon scheduling problems.…”

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confidence: 99%

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Power-Efficient Resource Allocation in C-RANs With SINR Constraints and Deadlines

Marotta

Both

DaSilva

et al. 2019

IEEE Trans. Veh. Technol.

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In this paper, we address the problem of powerefficient resource management in Cloud Radio Access Networks (C-RANs). Specifically, we consider the case where Remote Radio Heads (RRHs) perform data transmission, and signal processing is executed in a virtually centralized Base-Band Units (BBUs) pool. Users request to transmit at different time instants; they demand minimum signal-to-noise-plus-interference ratio (SINR) guarantees, and their requests must be accommodated within a given deadline. These constraints pose significant challenges to the management of C-RANs and, as we will show, considerably impact the allocation of processing and radio resources in the network. Accordingly, we analyze the power consumption of the C-RAN system, and we formulate the power consumption minimization problem as a weighted joint scheduling of processing and power allocation problem for C-RANs with minimum SINR and finite horizon constraints. The problem is a Mixed Integer Non-Linear Program (MINLP), and we propose an optimal offline solution based on Dynamic Programming (DP). We show that the optimal solution is of exponential complexity, thus we propose a suboptimal greedy online algorithm of polynomial complexity. We assess the performance of the two proposed solutions through extensive numerical results. Our solution aims to reach an appropriate trade-off between minimizing the power consumption and maximizing the percentage of satisfied users. We show that it results in power consumption that is only marginally higher than the optimum, at significantly lower complexity.

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Section: Related Workmentioning

confidence: 99%

Section: Problem Formulationmentioning

confidence: 99%

mentioning

confidence: 99%

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Power-Efficient Resource Allocation in C-RANs With SINR Constraints and Deadlines

Marotta

Both

DaSilva

et al. 2019

IEEE Trans. Veh. Technol.

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“…Nevertheless, the energy conservation and QoS requirements have not been considered in [28], [36]. The data rate requirements and restrictions of fronthaul capacity have been simultaneously considered in the literature [24], [37], [38]. In [24], an energy-efficient resource allocation algorithm for multi-cell orthogonal frequency division multiple access (OFDMA) systems was proposed.…”

Section: Introductionmentioning

confidence: 99%

“…In [24], an energy-efficient resource allocation algorithm for multi-cell orthogonal frequency division multiple access (OFDMA) systems was proposed. The work in [38] presented a joint resource allocation and admission control to minimize the sum of interference levels that macrocells can experience from small cells. Even though a nearoptimal solution can be obtained, the signaling overhead and computational loadings are potential drawbacks to RF-based functional split management.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Controlled User Association and Resource Management for Energy-Efficient Green RANs With Limited Fronthaul

et al. 2022

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To alleviate the greenhouse effect, high network energy efficiency (EE) has become an important research target in wireless green communications. Therefore, an investigation for resource management to mitigate co-tier interference in a small-cell network (SCN) is provided. Moreover, with the merits of cloud radio access networks (C-RANs), small-cell base stations can be decomposed into central small cells (CSCs) and remote small cells (RSCs). To achieve coordination, split medium access control (MAC)-based functional splitting is adopted with a scheduler deployed at CSCs and retransmission functions implemented at RSCs. However, limited fronthaul has a compelling effect on RSCs owing to the requirements of user quality of service (QoS). In this paper, we propose a hybrid controlled user association and resource management (HARM) scheme to deal with the infeasibility of controlling all RSCs using a single CSC. A CSC performs the traffic-control-based user association and resource allocation (TURA) scheme for RSCs to mitigate intra-group interference within localized C-RANs, whereas the CSCs among separate C-RANs conduct cooperative resource competition (CRC) games to alleviate inter-group interference. Based on the regret-based learning algorithm, the proposed schemes are analytically proven to reach the correlated equilibrium (CE). The simulation results validate the capability of traffic control in the TURA scheme and the convergence of CRC. Moreover, a comparison of the proposed TURA, HARM, and CRC schemes with the benchmark is revealed. It is observed that the TURA scheme outperforms the other methods under ideal fronthaul control, whereas the HARM scheme can sustain EE performance considering practical implementation.INDEX TERMS Cloud radio access networks, functional split, limited fronthaul, energy efficiency, green communication, user association, resource management, power allocation, game theory.

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Performance Analysis of Non-Orthogonal Multiple Access (NOMA) Enabled Cloud Radio Access Networks

Rai

Zhu

Wang

2022

IEEE Trans. Wireless Commun.

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On Resource Allocation for Downlink Power Minimization in OFDMA Small Cells in a Cloud-RAN

Cited by 4 publications

References 13 publications

Power-Efficient Resource Allocation in C-RANs With SINR Constraints and Deadlines

Power-Efficient Resource Allocation in C-RANs With SINR Constraints and Deadlines

Hybrid Controlled User Association and Resource Management for Energy-Efficient Green RANs With Limited Fronthaul

Performance Analysis of Non-Orthogonal Multiple Access (NOMA) Enabled Cloud Radio Access Networks

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