Energy efficient user association and resource allocation in active array aided HetNets

Li, Qing; Yang, Qinghai; Qin, Meng; Kwak, Kyung Sup

doi:10.1049/iet-com.2017.0755

Cited by 10 publications

(9 citation statements)

References 28 publications

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“…Another work by Li, et al [81] proposed a joint user association and resource allocation scheme, and the two subproblems were solved using a nonlinear mixed-integer fractional programming method to maximize the EE. They considered the model in a multicast transmission scenario where the MBS was equipped with an Active Array System (AAS) and the SBS used omnidirectional antennas.…”

Section: ) Joint User Associationmentioning

confidence: 99%

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Survey of Radio Resource Management in 5G Heterogeneous Networks

et al. 2020

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Radio resource management (RRM) for future fifth-generation (5G) heterogeneous networks (HetNets) has emerged as a critical area due to the increased density of small-cell networks and radio access technologies. Recent research has mostly concentrated on resource management, including spectrum utilization and interference mitigation, but the complexities of these resources have been given little attention. This paper provides an overview of the issues arising from future 5G systems and highlights their importance. The different approaches used in recently published surveys categorizing RRM schemes are discussed, and the survey method is presented. We report on a survey of HetNet RRM schemes that have been studied recently, with a focus on the joint optimization of radio resource allocation with other mechanisms. These RRM schemes were subcategorized according to their optimization metrics and qualitatively analyzed and compared. An analysis of the complexity of RRM schemes in terms of implementation and computation is presented. Several potential scopes of research for future RRM in 5G HetNets are also identified.

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Section: ) Joint User Associationmentioning

confidence: 99%

“…However, when the number of users increased, the exhaustive search was no longer applicable. Whereas [81] considered AAS in a HetNet, Xu, et al [82] proposed an energy-aware user association in an energy-cooperated environment among the BSs. They were motivated by the trade-off between users offloading and energy cooperation.…”

Section: ) Joint User Associationmentioning

confidence: 99%

Survey of Radio Resource Management in 5G Heterogeneous Networks

et al. 2020

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“…In this paper, multiple services can be realised by different RATs in TVWS, which is a common solution for HetNets in [10–12, 14]. For a single channel, multiple services would be allocated different bandwidth in frequency division multiple access in MAC layer.…”

Section: System Modelmentioning

confidence: 99%

“…Considering the imperfect channel state information, a low‐complexity algorithm is proposed in [10] for the joint subcarrier and power allocation in the probabilistic energy‐efficiency (EE) optimisation scheme under the cognitive HetNets. In [11], an iterative algorithm is devised to solve the user association and resource allocation in active array system aided HetNets, which improves the system spectrum efficiency and maximises the EE. In [12], a joint resource allocation algorithm for uplink multihoming networks is proposed based on multiple radio access technologies (RATs), whose performance is evaluated by user's satisfaction level affected by two conflicting factors including throughput and monetary cost.…”

Section: Introductionmentioning

confidence: 99%

Joint bandwidth and power allocation for multiple services in TV white space

Tian

Wang

et al. 2019

IET Communications

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“…For example, in [11], the link selection scheme considering power allocation is proposed, which effectively increases the transmission rate of the worst link and improves the fairness of resource allocation. In [12] and [13], the downlink resource allocation method, where network service providers can operate multiple RANs, is proposed to maximize the system energy efficiency.…”

Section: Introductionmentioning

confidence: 99%

UAV-Enabled Multiple Traffic Backhaul Based on Multiple RANs: A Batch-Arrival-Queuing-Inspired Approach

Zhi

et al. 2019

IEEE Access

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In this paper, we investigate the air-to-ground multi-traffic backhaul enabled by unmanned aerial vehicle (UAV) equipped with multiple radio access networks (RANs). Faced with the challenging traffic designation problem over diverse RANs, an efficient packet delivery scheme based on multi-priority batch arrival queuing theory is proposed to match various traffics with multiple RANs. Specifically, our contributions are threefold: 1) The average queuing time of UAV-enabled multi-RAN access is theoretically derived according to multi-priority batch arrival queuing theory. 2) The priority factor and z-type utility function are well tailored by leveraging the derived queuing time. 3) A multiple traffic backhaul strategy is further proposed by exploiting the priority factor and z-type utility function to optimize the packet delivery, i.e., maximizing the delay utility via joint network selection and power allocation for diverse RANs. The simulation results show that the average delay of delay-sensitive packets is reduced by 15%, and the overall packet delivery quality is improved considerably. INDEX TERMS Unmanned aerial vehicle (UAV), resource allocation, queuing theory, multi-priority, traffic backhaul.

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Energy efficient user association and resource allocation in active array aided HetNets

Cited by 10 publications

References 28 publications

Survey of Radio Resource Management in 5G Heterogeneous Networks

Survey of Radio Resource Management in 5G Heterogeneous Networks

Joint bandwidth and power allocation for multiple services in TV white space

UAV-Enabled Multiple Traffic Backhaul Based on Multiple RANs: A Batch-Arrival-Queuing-Inspired Approach

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