Optimal Resource Allocation in Coordinated Multi-Cell Systems

Björnson, Emil; Jorswieck, Eduard A.

doi:10.1561/0100000068

Cited by 144 publications

(80 citation statements)

References 193 publications

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“…The Vienna LTE-A downlink system level simulator employs a scheme that maximizes the mutual information between transmitted and received symbols [36]. 6 In general, beamforming strategies are found by solving multi-objective optimization problems [37]. profound novelty in open-source LTE-A system level simulation tools.…”

Section: A Implementationmentioning

confidence: 99%

Runtime Precoding: Enabling Multipoint Transmission in LTE-Advanced System-Level Simulations

Taranetz¹,

Blazek²,

Kropfreiter³

et al. 2015

IEEE Access

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System-level simulations have become an indispensable tool for predicting the behavior of wireless cellular systems. As exact link-level modeling is unfeasible due to its huge complexity, mathematical abstraction is required to obtain equivalent results by less complexity. A particular problem in such approaches is the modeling of multiple coherent transmissions. Those arise in multiple-input-multipleoutput transmissions at every base station but nowadays so-called coordinated multipoint (CoMP) techniques have become very popular, allowing to allocate two or more spatially separated transmission points. Also, multimedia broadcast single frequency networks (MBSFNs) have been introduced recently in long-term evolution (LTE), which enables efficient broadcasting transmission suitable for spreading information that has a high user demand as well as simultaneously sending updates to a large number of devices. This paper introduces the concept of runtime-precoding, which allows to accurately abstract many coherent transmission schemes while keeping additional complexity at a minimum. We explain its implementation and advantages. For validation, we incorporate the runtime-precoding functionality into the Vienna LTE-A downlink systemlevel simulator, which is an open source tool, freely available under an academic noncommercial use license. We measure simulation run times and compare them against the legacy approach as well as link-level simulations. Furthermore, we present multiple application examples in the context of intrasite and intersite CoMP for train communications and MBSFN.INDEX TERMS Link abstraction, link quality model, runtime-precoding, 3GPP, LTE-A, Vienna LTE-A downlink system level simulator, MIESM, Vienna LTE-A downlink link level simulator, LTE transmission modes, coordinated multipoint, multimedia broadcast single frequency networks, high-user mobility.

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Section: A Implementationmentioning

confidence: 99%

Runtime Precoding: Enabling Multipoint Transmission in LTE-Advanced System-Level Simulations

Taranetz¹,

Blazek²,

Kropfreiter³

et al. 2015

IEEE Access

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“…Furthermore, we can choose any e ll inside the uncertainty region to obtain an upper bound for γ l in (13). Hence, without loss of generality we choose e ll = 0.…”

Section: Branch and Bound Algorithmmentioning

confidence: 99%

“…In this paper, we consider imperfect CSI in all relevant channels for the WSRMax problem, which makes the problem much difficult than that in [4]. After the submission of the first manuscript we found out that, similar problem has been addressed using a different analysis technique in [13].…”

Section: Introductionmentioning

confidence: 99%

Worst-case weighted sum-rate maximization for MISO downlink systems with imperfect channel knowledge

Wijewardhana

Joshi

Codreanu

2013

2013 Asilomar Conference on Signals, Systems and Computers

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We consider the worst-case weighted sum-rate maximization (WSRMax) problem under imperfect channel state information (CSI) in multicell downlink multiple-input singleoutput systems. The problem is known to be NP-hard even for the perfect CSI case. We propose a solution method, based on semi-definite relaxation (SDR) and branch and bound technique, which solves globally the noncovex robust WSRMax problem with an optimality certificate. Novel bounding technique based on SDR is proposed.Index Terms-Branch and bound, weighted sum-rate maximization, semi-definite programming, multicell networks, robust design.

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“…[2], [3] provides approximate allocation solution and [4] curve fits the sigmoidal-like functions to the closest concave functions to solve with conventional methods. Others only solves for sigmoidal-like utility function above a certain threshold to ensure concavity of the function [5], [6].…”

Section: Introductionmentioning

confidence: 99%

An optimal resource allocation with frequency reuse in cellular networks

Abdelhadi¹,

Clancy²

2016

2016 International Conference on Computing, Networking and Communications (ICNC)

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In this paper, we introduce a novel approach for optimal resource allocation with frequency reuse for users with elastic and inelastic traffic in cellular networks. In our model, we represent users' applications running on different user equipments (UE)s by logarithmic and sigmoidal-like utility functions. We applied utility proportional fairness allocation policy, i.e. the resources are allocated among users with fairness in utility percentage of the application running on each mobile station. Our objective is to allocate the cellular system resources to mobile users optimally from a multi-cell network. In our model, a minimum quality-of-service (QoS) is guaranteed to every user subscribing for the mobile service with priority given to users with real-time applications. We prove that the novel resource allocation optimization problem with frequency reuse is convex and therefore the optimal solution is tractable. We present a distributed algorithm to allocate the resources optimally from Mobility Management Entity (MME) to evolved NodeBs' (eNodeB)s sectors. Finally, we present the simulation results for the performance of our rate allocation algorithm.

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Optimal Resource Allocation in Coordinated Multi-Cell Systems

Cited by 144 publications

References 193 publications

Runtime Precoding: Enabling Multipoint Transmission in LTE-Advanced System-Level Simulations

Runtime Precoding: Enabling Multipoint Transmission in LTE-Advanced System-Level Simulations

Worst-case weighted sum-rate maximization for MISO downlink systems with imperfect channel knowledge

An optimal resource allocation with frequency reuse in cellular networks

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