Energy Efficient Multiple Association in CoMP Based 5G Cloud-RAN Systems

Ferdouse, Lilatul; Alnoman, Ali; Bulzacki, Adrian; Anpalagan, Alagan

doi:10.1109/vtcfall.2017.8288049

Cited by 6 publications

(8 citation statements)

References 11 publications

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“…[15, Eq. (6.5.35)] was exploited to derive(26), with I α (x) being the modified Bessel function of the first kind and L α (x) denoting the modified Struve function [10, Eq. (11.2.2)].…”

mentioning

confidence: 99%

Unified Analytical Volume Distribution of Poisson-Delaunay Simplex and Its Application to Coordinated Multi-Point Transmission

Xia

Aı̈ssa

2018

IEEE Trans. Wireless Commun.

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For Poisson-Delaunay triangulations in ddimensional Euclidean space R d , a structured and computationally efficient form of the probability density function (PDF) of the volume of a typical cell is analytically derived in this paper. In particular, the ensuing PDF and the corresponding cumulative density function (CDF) are exact and unified, applicable to spaces of arbitrary dimension (d ≥ 1). Then, the special cases and shape characteristics of the resulting PDF are thoroughly examined. Finally, various applications of the obtained distribution functions are outlined and, in particular, a novel coordinated multi-point transmission scheme based on Poisson-Delaunay triangulation is developed and the pertinent void cell effect is precisely evaluated by using the obtained distribution functions.

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“…[15, Eq. (6.5.35)] was exploited to derive(26), with I α (x) being the modified Bessel function of the first kind and L α (x) denoting the modified Struve function [10, Eq. (11.2.2)].…”

mentioning

confidence: 99%

Unified Analytical Volume Distribution of Poisson-Delaunay Simplex and Its Application to Coordinated Multi-Point Transmission

Xia

Aı̈ssa

2018

IEEE Trans. Wireless Commun.

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“…In the H-CRAN, we assume that the resource allocation policy is centrally coordinated by the software defined controller inside the BBU pool. At the initial stage of resource allocation, the users are classified as an SUE or MUE by the location aware user association method [73]. Depending on the number of users that are associated with macro and small cell base stations, the total power is equally allocated to users such that constraints C5 and C6 are satisfied.…”

Section: Iterative Algorithm For Resource Allocationmentioning

confidence: 99%

Resource Management in Cloud Radio Access Networks

Ferdouse¹

2021

Preprint

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This thesis focuses on resource management both in communication and computing sides of the cloud radio access networks (C-RANs). Communication and computing resources are bandwidth, power, baseband unit servers, and virtual machines, which become major resource allocation elements of C-RANs. If they are not properly handled, they create congestion and overload problems in radio access network and core network part of the backbone cellular network. We study two general problems of C-RAN networks, referred to as communication and computing resource allocation problem along with user association, base band unit (BBU) and remote radio heads (RRH) mapping problems in order to improve energy efficiency, sum data rate and to minimize delay performance of C-RAN networks. In this thesis, we propose, implement, and evaluate several solution strategies, namely posterior probability based user association and power allocation method, double-sided auction based distributed resource allocation method, the energy efficient joint workload scheduling and BBU allocation and iterative resource allocation method to deal with the resource management problems in both orthogonal and non-orthogonal multiple access supported C-RAN networks. In the posterior probability based user association and power allocation method, we apply Bayes theory to solve the multi-cell association problem in the coordinated multi-point supported C-RANs. We also use queueing and auction theory to solve the joint communication and computing resource optimization problem. As the joint optimization problem, we investigate the delay and sum data rate performance of C-RANs. To improve the energy efficiency of C-RANs, we employ Dinkelbach theorem and propose an iterative resource allocation method. Our proposed methods are evaluated via simulations by considering the effect of bandwidth utilization percentage, different scheduling weight, signal-to-interference ratio threshold value and number of users. The results show that the proposed methods can be successfully implemented for 5G C-RANs. Among the various non-orthogonal multiple access schemes, we consider and implement the sparse code multiple access (SCMA) scheme to jointly optimize the codebook and power allocation in the downlink of the C-RANs, where the utilization of sparse code multiple access in C-RANs to improve energy efficiency has not been investigated in detail in the literature. To solve the NP-hard joint optimization problem, we decompose the original problem into two subproblems: codebook allocation and power allocation. Using the graph theory, we propose the throughput aware sparse code multiple access based codebook selection method, which generates a stable codebook allocation solution within a finite number of steps. For the power allocation solution, we propose the iterative level-based power allocation method, which incorporates different power allocation approaches (e.g., weighted and successive interference cancellation ) into different levels to satisfy the maximum power requirement. Simulation results show that the sum data rate and energy efficiency performance of non-orthogonal multiple access supported C-RANs significantly increases with the number of users when the successive interference cancellation aware geometric water-filling based power allocation is used.

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“…A specific CoMP technique, i.e., Coordinated Scheduling is investigated in [18], where the authors study the impact of different Virtual Network Function deployments on the CoMPenabled advantages, in terms of convergence delay (i.e., the time taken by an updated information to reach all the eNodeBs belonging to the cooperating set) and traffic overhead. Authors of [19] study the effectiveness of CoMP on an end-user level, i.e., they study the users-cells association and emitted power allocation required to maximize data rate provisioning for small cells users. The idea of dynamic association between RRH and BBU (namely, "any-RRH to any-BBU"), obtained by means of flexible optical fronthaul lightpaths reconfiguration is exploited in [20] to improve the performance of CoMP service.…”

Section: Related Workmentioning

confidence: 99%

Enhancing RAN Throughput by Optimized CoMP Controller Placement in Optical Metro Networks

Musumeci

Silva

Tornatore

2018

IEEE J. Select. Areas Commun.

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The 5th generation of mobile communications (5G) will target unprecedented network performance and Quality of Service for end users. Among the various aspects which will be addressed in 5G, advanced cell coordination is deemed as crucial to maximize network throughput. In particular, in this paper we refer to Coordinated Multipoint (CoMP) techniques, that allow to coordinate groups of cells (i.e., clusters) through a coordination controller, namely a Radio Controller Coordinator (RCC), to enhance the mobile-network throughput by reducing interference. We focus on the placement of RCCs in the metro optical network and on its impact on the performance of cell coordination. We provide strategies to perform an optimized placement of such controllers in metro optical networks in order to maximize network throughput via cell coordination. Several CoMP techniques have been designed, whose throughput gain is affected by various factors, e.g., gain increases with the cluster size, while it decreases for larger latencies between the RCC and cells. As current metro networks are characterized by a hierarchical architecture with different levels of central offices, the choice of where to place controllers to maximize throughput gain can be optimized according to several factors, i.e., network geographical dimension, cells density and available technology. In addition, selection of the most appropriate CoMP technique to be used in each cluster is not trivial, as the gain provided by the various techniques is differently affected by cluster size and latency between the RCC and cells. Our results show that under certain conditions optimized placement provides up to around 10% higher coordination gain with respect to fixed controller placement. Moreover, when adopting fronthaul technology, the coordination gain provided by an optimized controller placement may increase up to 20% in comparison to fixed placement.

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Energy Efficient Multiple Association in CoMP Based 5G Cloud-RAN Systems

Cited by 6 publications

References 11 publications

Unified Analytical Volume Distribution of Poisson-Delaunay Simplex and Its Application to Coordinated Multi-Point Transmission

Unified Analytical Volume Distribution of Poisson-Delaunay Simplex and Its Application to Coordinated Multi-Point Transmission

Resource Management in Cloud Radio Access Networks

Enhancing RAN Throughput by Optimized CoMP Controller Placement in Optical Metro Networks

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