Distributed Power Allocations in Heterogeneous Networks With Dual Connectivity Using Backhaul State Information

Ahmad, Syed Amaar; Datla, Dinesh

doi:10.1109/twc.2015.2422818

Cited by 28 publications

(18 citation statements)

References 26 publications

(33 reference statements)

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“…A nonstandalone mode is a way to add 5G new radio into an LTE network . The LTE RAN is used as a master eNB and provides control in signalling to establish and manage the connection with the devices.…”

Section: Deployment Of Ran In Hetnetsmentioning

confidence: 99%

An optimal multitier resource allocation of cloud RAN in 5G using machine learning

Bashir

Arul

Basheer

et al. 2019

Trans Emerging Tel Tech

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The networks are evolving drastically since last few years in order to meet user requirements. For example, the 5G is offering most of the available spectrum under one umbrella. In this work, we will address the resource allocation problem in fifth-generation (5G) networks, to be exact in the Cloud Radio Access Networks (C-RANs). The radio access network mechanisms involve multiple network topologies that are isolated based on the spectrum bands and it should be enhanced with numerous access technology in the deployment of 5G network. The C-RAN is one of the optimal technique to combine all the available spectral bands. However, existing C-RAN mechanisms lacks the intelligence perspective on choosing the spectral bands. Thus, C-RAN mechanism requires an advanced tool to identify network topology to allocate the network resources for substantial traffic volumes. Therefore, there is a need to propose a framework that handles spectral resources based on user requirements and network behavior. In this work, we introduced a new C-RAN architecture modified as multitier Heterogeneous Cloud Radio Access Networks in a 5G environment. This architecture handles spectral resources efficiently. Based on the simulation analysis, the proposed multitier H-CRAN architecture with improved control unit in network management perspective enables augmented granularity, end-to-end optimization, and guaranteed quality of service by 15 percentages over the existing system.Trans Emerging Tel Tech. 2019;30:e3627.wileyonlinelibrary.com/journal/ett spectrum like WiFi. 2 The advanced antennas with multiple input and multiple output technologies can be adopted in the evolving 5G to provide higher data rate. 3,4 The colossal requirements of future 5G networks cannot be accomplished by the existing radio access networks (RANs), wherein the base band units (BBUs) and radio units are consolidated. 2 Meanwhile, the cloud-enabled services in 5G ecosystem cater heterogeneous communication framework utilizing advanced virtualization techniques. The network virtualization stimulates multiservice and multitenancy for efficient network operations and service provisions, which, in turn, offers new-fangled service-oriented and edge-cloud 5G architectures with enhanced Quality of Experience (QoE). 5 Thus, the current RAN architectures need to be further extended with various virtualization techniques to develop Cloud RAN (C-RAN). Cloud RANs abutments the correlation of Access Points (APs) to the pool of BBU via a troop of transport links in the Control Unit (CU), 6 which conquers the limitations in the traditional RAN. 7 However, C-RAN requires an intelligent technique to recognize the topology of the network in the mobility stage and to locate the resources, as the vast traffic volume created by the sampled radio signals are directly transported to the CU. 8 The next-generation networks are expected to learn consistently based on the varied user behavior and spectral stability that depends on both the user's environment and network behavior. 9 Thereby, sea...

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Section: Deployment Of Ran In Hetnetsmentioning

confidence: 99%

An optimal multitier resource allocation of cloud RAN in 5G using machine learning

Bashir

Arul

Basheer

et al. 2019

Trans Emerging Tel Tech

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“…During the recent years, many of researchers including 3GPP paid full attention to the interference that HetNets have brought as a by-product together with capacity enhancement [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22]. To combat the harmful interference in HetNets, different approaches have been studied in the literature.…”

Section: Literature Overviewmentioning

confidence: 99%

“…Scheduling nonneighboring UEs in same time slots results in reduced interference from neighboring UEs and an acceptable outage ratio; however, this performance is achieved at the cost of reduced throughput, increased complexity, and extra signaling overhead. Besides, there are a few articles in the literature that have discussed power control to handle interference concerns [14][15][16][17][18][19][20][21][22]. The intercell interference coordination (ICIC), enhanced ICIC, and further enhanced ICIC proposed by the 3GPP focused on power control techniques to combat intertier interference [14,15].…”

Section: Literature Overviewmentioning

confidence: 99%

Macrocells-User Protected Interference-Aware Transmit Power Control for LTE-A Heterogeneous Networks

Ahmad

Yang

Shahzad

et al. 2016

Mobile Information Systems

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In Long Term Evolution-Advanced (LTE-A) heterogeneous networks (HetNets), small cells are deployed within the coverage area of macrocells having 1 : 1 frequency reuse. The coexistence of small cells and a macrocell in the same frequency band poses cross-tier interference which causes outage for macrocells users and/or small cell users. To address this problem, in this paper, we propose two algorithms that consider the received interference level at the evolved NodeB (eNB) while allocating transmit power to the users. In the proposed algorithm, the transmit power of all users is updated according to the target and instantaneous signal-to-noise-plus-interference ratio (SINR) condition as long as the effective received interference at the serving eNB is below the given threshold. Otherwise, if the effective received interference at the eNB is greater than the threshold, the transmit power of small cell users is gradually reduced in order to guarantee the target SINR for all macrocells users, aiming for zero-outage for macrocells users at the cost of an increased outage ratio for small cell users. Further, in the second algorithm, the transmit power of all users is additionally controlled by the power headroom report that considers the current channel condition while updating the transmit power which results in the outage ratio decreasing for small cell users. The extensive system-level simulations show significant improvements in the average throughput and outage ratio when compared with the conventional transmit power control technique.

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“…The work in [11], [12] considers a DC enabled uplink with one macro and one pico node and proposes optimal rate and power control solutions for a cost minimization problem with per-user minimum rate constraints. Power optimization over a DC enabled Hetnet has been considered in [18] where distributed algorithms for the uplink that account for backhaul capacity have been proposed.…”

Section: Introductionmentioning

confidence: 99%

Exploiting dual connectivity in heterogeneous cellular networks

Prasad

Rangarajan

2017

2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)

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We consider network utility maximization problems over heterogeneous cellular networks (HetNets) that permit dual connectivity. Dual connectivity (DC) is a feature that targets emerging practical HetNet deployments that will comprise of non-ideal (higher latency) connections between transmission nodes, and has been recently introduced to the LTE-Advanced standard. DC allows for a user to be simultaneously served by a macro node as well as one other (typically micro or pico) node and requires relatively coarser level coordination among serving nodes. For such a DC enabled HetNet we comprehensively analyze the problem of determining an optimal user association, where in any feasible association each user can be associated with (i.e., configured to receive data from) any one macro node (in a given set of macro nodes) and any one pico node that lies in the chosen macro node's coverage area. We consider the weighted sum rate system utility subject to per-user maximum and minimum rate constraints, as well as the proportional fairness (PF) system utility. For both utility choices we construct approximation algorithms and establish their respective approximation guarantees. We then validate the performance of our algorithms via numerical results.

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Distributed Power Allocations in Heterogeneous Networks With Dual Connectivity Using Backhaul State Information

Cited by 28 publications

References 26 publications

An optimal multitier resource allocation of cloud RAN in 5G using machine learning

An optimal multitier resource allocation of cloud RAN in 5G using machine learning

Macrocells-User Protected Interference-Aware Transmit Power Control for LTE-A Heterogeneous Networks

Exploiting dual connectivity in heterogeneous cellular networks

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