SDN Controlled mmWave Massive MIMO Hybrid Precoding for 5G Heterogeneous Mobile Systems

In 5G mobile network, millimeter wave (mmWave) and heterogeneous networks (Hetnets) are significant techniques to sustain coverage and spectral efficiency. In this paper, we utilize the hybrid precoding to overcome hardware constraints on the analog-only beamforming in mmWave systems. Particularly, we identify the complicated antenna coordination and vast spatial domain information as the outstanding challenges in mmWave Hetnets. In our work, we employ software defined network (SDN) to accomplish radio resource management (RRM) and achieve flexible spacial coordination in mmWave Hetnets. In our proposed scheme, SDN controller is responsible for collecting the user channel state information (CSI) and applying hybrid precoding based on the calculated null-space of victim users. Simulation results show that our design can effectively reduce the interference to victim users and support high quality of service.

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Study, design and development of novel architectures and technologies that exploit the digital spectrum dividend for the development of wireless local / metropolitan multimedia services infrastructures

10.12681/eadd/33097 ◽

2013 ◽

Author(s):

Αθηνά Μπουρδένα

Keyword(s):

Quality Of Service ◽

Cognitive Radio ◽

Ad Hoc ◽

Radio Resource Management ◽

Radio Resource ◽

Multimedia Services ◽

Digital Spectrum ◽

Radio Technology ◽

Cognitive Radio Technology

Η Διδακτορική Διατριβή αυτή συμβάλλει στην ευκαιριακή αξιοποίηση του ραδιοφάσματος, μέσω της μελέτης, του σχεδιασμού και της υλοποίησης μίας πρωτότυπης αρχιτεκτονικής, η οποία επιτρέπει στις μη-αδειοδοτημένες (δευτερεύουσες) συσκευές να αξιοποιούν δυναμικά και σε τοπικό επίπεδο, τις διαθέσιμες τηλεοπτικές συχνότητες VHF/UHF (Τηλεοπτικό Λευκό Φάσμα - TVWS) για την παροχή πολυμεσικών υπηρεσιών σε ασύρματες τοπικές/μητροπολιτικές υποδομές. Βασιζόμενη στις πρόσφατες εξελίξεις της τεχνολογίας του γνωσιακού ραδιοφάσματος (Cognitive Radio technology) καθώς και εξετάζοντας τις νέες πολιτικές διαχείρισης του ραδιοφάσματος που θα αξιοποιηθούν για την εκμετάλλευση των απελευθερωμένων ραδιο-πόρων, η Διδακτορική Διατριβή παρουσιάζει μια υβριδική αρχιτεκτονική, για την αποδοτική διαχείριση του ραδιοφάσματος, είτε μέσω ενός μεσίτη φάσματος (Spectrum Broker), είτε μέσω τεχνικών αποφυγής παρεμβολών υπό την επίβλεψη μιας χωρικά τοποθετημένης βάσης δεδομένων (Geo-location database). Στα πλαίσια της παρούσας Διατριβής σχεδιάστηκε και υλοποιήθηκε, στο επίπεδο ζεύξης δεδομένων, ένας πρωτότυπος μηχανισμός, για την βέλτιστη διαχείριση των ραδιο-πόρων (Radio Resource Management - RRM) σε σχέση με την εγγυημένη παροχή Ποιότητας Υπηρεσίας (Quality of Service - QoS), καθώς και το μέγιστο δυνατό κέρδος των συναλλαγών. Προς την κατεύθυνση αυτή μελετήθηκαν, δύο είδη τεχνικών βελτιστοποίησης, η τεχνική λήψης αποφάσεων και η θεωρία παιγνίων, προκειμένου να αναπτυχθεί ένας νέος αλγόριθμος ικανός να παρέχει αποδοτικές λύσεις όσον αφορά τον ελάχιστο κατακερματισμό του φάσματος και το μέγιστο δυνατό κέρδος του μεσίτη φάσματος. Επιπλέον, η Διατριβή συμβάλλει στη μελέτη και ανάπτυξη ενός νέου πρωτοκόλλου δρομολόγησης, που επιτρέπει την επικοινωνία μεταξύ συστημάτων, τα οποία δημιουργούν ad-hoc γνωσιακά δίκτυα και βρίσκονται σε διαφορετικές περιοχές (δηλαδή, δεν υπάρχει άμεση ζεύξη επικοινωνίας μεταξύ τους). Για να γίνει αυτό, το βέλτιστο μονοπάτι επικοινωνίας εγκαθίσταται μέσα από μία σειρά ενδιάμεσων κόμβων που χρησιμοποιούν την γνωσιακή τεχνολογία, οι οποίοι επιλέγονται βήμα-προς-βήμα (hop-by-hop) αξιολογώντας τη χρονική καθυστέρηση της επικοινωνίας. Επιπλέον, και προκειμένου να αποφευχθούν πιθανές αποτυχίες στη διαδρομή ή υπερφόρτωση των ενδιάμεσων κόμβων, το πρωτόκολλο εφαρμόζει ένα πρωτότυπο μηχανισμό σε κάθε κόμβο, προκειμένου να εξισορροπείται το φορτίο κάνοντας ανακατεύθυνση της δικτυακής κίνησης. Για την επαλήθευση της εγκυρότητας της προτεινόμενης αρχιτεκτονικής, μία σειρά από πειράματα σχεδιάστηκαν και διεξήχθησαν υπό ελεγχόμενες συνθήκες περιβάλλοντος (προσομοιώσεις). Στα πλαίσια αυτά, ένα πειραματικό πρωτότυπο τέθηκε σε εφαρμογή σύμφωνα με τις τεχνικές προδιαγραφές σχεδιασμού, το οποίο αξιοποιήθηκε για τη διεξαγωγή μετρήσεων αξιολόγησης των επιδόσεων. Τα αποτελέσματα που προέκυψαν επαλήθευσαν την ικανότητα της προτεινόμενης αρχιτεκτονικής για την υποστήριξη της ανάπτυξης τοπικών/μητροπολιτικών υποδομών πολυμέσων μέσω της ευκαιριακής αξιοποίησης του ραδιοφάσματος των TV WS και ανέδειξαν πεδία μελλοντικής έρευνας, όπως η λειτουργία με την ελάχιστη ενεργειακή απόδοση τόσο σε επίπεδο συστημάτων όσο και τελικών χρηστών ή η μελέτη μηχανισμών επιπέδου μεταφοράς για τον περιορισμό των μειονεκτημάτων του υπάρχοντος TCP σε χρονικά μεταβαλλόμενα συνδέσεις.

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QoE-Oriented Mobile Edge Service Management Leveraging SDN and NFV

Mobile Information Systems ◽

10.1155/2017/3961689 ◽

2017 ◽

Vol 2017 ◽

pp. 1-14 ◽

Cited By ~ 11

Author(s):

Shuping Peng ◽

Jose Oscar Fajardo ◽

Pouria Sayyad Khodashenas ◽

Begoña Blanco ◽

Fidel Liberal ◽

...

Keyword(s):

Service Management ◽

Mobile Network ◽

Cost Effective ◽

Reference Architecture ◽

Channel State ◽

Performance Requirements ◽

Promising Solution ◽

Effective Network ◽

Lifecycle Management

5G envisages a “hyperconnected society” where trillions of diverse entities could communicate with each other anywhere and at any time, some of which will demand extremely challenging performance requirements such as submillisecond low latency. Mobile Edge Computing (MEC) concept where application computing resources are deployed at the edge of the mobile network in proximity of an end user is a promising solution to improve quality of online experience. To make MEC more flexible and cost-effective Network Functions Virtualisation (NFV) and Software-Defined Networking (SDN) technologies are widely adopted. It leads to significant CAPEX and OPEX reduction with the help of a joint radio-cloud management and orchestration logic. In this paper we discuss and develop a reference architecture for the orchestration and management of the MEC ecosystem. Along with the lifecycle management flows of MEC services, indicating the interactions among the functional modules inside the Orchestrator and with external elements, QoS management with a focus on the channel state information technique is presented.

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Quality of Service Issues in Mobile Multimedia Transmission

Multimedia Technologies ◽

10.4018/978-1-59904-953-3.ch104 ◽

2008 ◽

pp. 1422-1440

Author(s):

Nalin Sharda

Keyword(s):

Quality Of Service ◽

Multimedia Information ◽

Mobile Networks ◽

User Interfaces ◽

Error Rate ◽

Mobile Network ◽

Mobile Systems ◽

Multimedia Content ◽

Temporal Aspects

The focus of this chapter is on the quality of service (QoS) aspects involved in transmitting multimedia information via mobile systems. Multimedia content and applications require sophisticated QoS protocols. These protocols need to manage throughput, delay, delay variance, error rate, and cost. How errors are handled in a multimedia session can have significant impact on the delay and delay variance. Coding and compression techniques also influence how the final presentation is transformed by the impediments encountered on a mobile network. Providing the user with the ability to negotiate between cost, quality, and temporal aspects is important, as this allows the user to strike a balance between these factors. In moving from 2G to 3G, and, over the next decade to 4G mobile networks, the ability to transmit multimedia information is going to improve constantly. Nonetheless, providers must develop viable economic models and user interfaces for providing differentiated QoS to the users.

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A Survey of Radio Resource Management in Cognitive Radio Networks

Self-Organization and Green Applications in Cognitive Radio Networks ◽

10.4018/978-1-4666-2812-0.ch013 ◽

2013 ◽

pp. 264-289

Author(s):

Chengshi Zhao ◽

Wenping Li ◽

Jing Li ◽

Zheng Zhou ◽

Kyungsup Kwak

Keyword(s):

Cognitive Radio ◽

Resource Management ◽

Dynamic Spectrum Access ◽

Radio Resource Management ◽

Radio Spectrum ◽

Radio Resource ◽

Green Communications ◽

Radio Resources ◽

Adaptive Power

The framework of “green communications” has been proposed as a promising approach to address the issue of improving resource-efficiency and the energy-efficiency during the utilization of the radio spectrum. Cognitive Radio (CR), which performs radio resource sensing and adaptation, is an emerging technology that is up to the requests of green communications. However, CR networks impose serious challenges due to the fluctuating nature of the available radio resources corresponding to the diverse quality-of-service requirements of various applications. This chapter provides an overview of radio resource management in CR networks from several aspects, namely dynamic spectrum access, adaptive power control, time slot, and code scheduling. More specifically, the discussion focuses on the deployment of CR networks that do not require modification to existing networks. A brief overview of the radio resources in CR networks is provided. Then, three challenges to radio resource management are discussed.

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Fair Optimization of Video Streaming Quality of Experience in LTE Networks Using Distributed Antenna Systems and Radio Resource Management

Journal of Applied Mathematics ◽

10.1155/2014/562079 ◽

2014 ◽

Vol 2014 ◽

pp. 1-12 ◽

Cited By ~ 8

Author(s):

Elias Yaacoub ◽

Zaher Dawy

Keyword(s):

Resource Management ◽

Quality Of Experience ◽

Radio Resource Management ◽

Geometric Mean ◽

Video Quality ◽

Radio Resource ◽

Distributed Antenna Systems ◽

Distributed Antenna ◽

Antenna Systems

Network quality of experience (QoE) metrics are proposed in order to capture the overall performance of radio resource management (RRM) algorithms in terms of video quality perceived by the end users. Metrics corresponding to average, geometric mean, and minimum QoE in the network are measured when Max C/I, proportional fair, and Max-Min RRM algorithms are implemented in the network. The objective is to ensure a fair QoE for all users in the network. In our study, we investigate both the uplink (UL) and downlink (DL) directions, and we consider the use of distributed antenna systems (DASs) to enhance the performance. The performance of the various RRM methods in terms of the proposed network QoE metrics is studied in scenarios with and without DAS deployments. Results show that a combination of DAS and fair RRM algorithms can lead to significant and fair QoE enhancements for all the users in the network.

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QoS Oriented Multiobjective Optimizer for Radio Resource Management of LTE-A Femtocells

Mobile Information Systems ◽

10.1155/2016/7964359 ◽

2016 ◽

Vol 2016 ◽

pp. 1-13 ◽

Cited By ~ 2

Author(s):

Ayesha Haider Ali ◽

Muhammad Mohsin Nazir

Keyword(s):

Resource Management ◽

Radio Resource Management ◽

Optimal Solution ◽

Limited Resources ◽

Radio Resource ◽

Term Evolution ◽

Data Rates ◽

Transmission Opportunity

The future wireless networks support multimedia applications and require ensuring quality of the services they provide. With increasing number of users, the radio resource is becoming scarce. Therefore, how should the demands for higher data rates with limited resources be met for Long Term Evolution-Advanced (LTE-A) is turning out to be a vital issue. In this research paper we have proposed an innovative approach for Radio Resource Management (RRM) that makes use of the evolutionary multiobjective optimization (MOO) technique for Quality of Service (QoS) facilitation and embeds it with the modern techniques for RRM. We have proposed a novel Multiobjective Optimizer (MOZ) that selects an optimal solution out of a Pareto optimal (PO) set in accordance with the users QoS requirements. We then elaborate the scheduling process and prove through performance evaluation that use of MOO can provide potential solutions for solving the problems for resource allocation in the advancement of LTE-A networks. Simulations are carried out using LTE-Sim simulator, and the results reveal that MOZ outperforms the reference algorithm in terms of throughput guarantees, delay bounds, and reduced packet loss. Additionally, it is capable of achieving higher throughput and lower delay by giving equal transmission opportunity to all users and achieves 100% accuracy in terms of selecting optimal solution.

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Vision on Radio Resource Management (RRM) and Quality of Service (QoS) for Wireless Communication Systems in Year 2020

Globalization of Mobile and Wireless Communications - Signals and Communication Technology ◽

10.1007/978-94-007-0107-6_9 ◽

2010 ◽

pp. 119-128 ◽

Cited By ~ 1

Author(s):

Ljupčo Jorgušeski

Keyword(s):

Quality Of Service ◽

Resource Management ◽

Wireless Communication ◽

Communication Systems ◽

Radio Resource Management ◽

Wireless Communication Systems ◽

Radio Resource

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Smart Radio Resource Management for Content Delivery Services in 5G and Beyond Networks

Mobile Information Systems ◽

10.1155/2020/8898798 ◽

2020 ◽

Vol 2020 ◽

pp. 1-14

Author(s):

Dominik Neznik ◽

Lubomir Dobos ◽

Jan Papaj

Keyword(s):

Game Theory ◽

Fuzzy Logic ◽

Resource Management ◽

Radio Resource Management ◽

Content Delivery ◽

Spectrum Allocation ◽

Radio Resource ◽

Advantages And Disadvantages ◽

Delivery Services

In 5G networks, the spectrum allocation techniques play a very important part of the quality of content delivery services. The processes of channelling and device selection are important in the 5G technology and beyond with many access devices in networks to improve the quality of services. In this paper, we propose a method based on Fuzzy Logic, Game Theory, and Smart Method (which is a combination of Fuzzy Logic and Game Theory). These methods are suitable to improve the speed and quality of links of data routing in networks. The paper shows that effective spectrum allocation to devices is not an option but a requirement in a huge data flow environment of the wireless communications, if one wants to ensure acceptable speed and quality of the connection and to provide adequate quality of the services. Each of the selected methods for radio resource management has some advantages and disadvantages in the evaluation of results. The paper describes the process of channel allocation with different methods for IEEE 802.11xx networks that are in the focus of our research in the sphere of wireless communication. Companies use cloud computing to provide services and to share information, but there needs to be some radio resource management to effectively use the services in the wireless mobile environment because the number of different types of devices being connected to the wireless networks to create smart homes and smart cities is growing.

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BLOCKCHAIN-BASED NETWORK FUNCTIONS VIRTUALIZATION FOR 5G NETWORK SLICING

Acta Electrotechnica et Informatica ◽

10.15546/aeei-2020-0026 ◽

2021 ◽

Vol 20 (4) ◽

pp. 54-59

Author(s):

Taras MAKSYMYUK ◽

◽

Volodymyr ANDRUSHCHAK ◽

Stepan DUMYCH ◽

Bohdan SHUBYN ◽

...

Keyword(s):

Software Defined Radio ◽

Network Architecture ◽

Radio Resource Management ◽

Mobile Network ◽

Network Slicing ◽

5G Network ◽

Radio Resources ◽

Network Functions ◽

Mobile Network Operators

The paper proposes a new blockchain-based network architecture for 5G network functions virtualization. By using a combination of AI and blockchain technologies, proposed system provides flexible network deployment, interoperability between different mobile network operators and effective management of radio resources. Experimental testbed of the proposed system has been implemented by using cloud and edge computing infrastructure and software defined radio peripheral NI USRP 2900. Simulation results of the network slicing and radio resource management shows that proposed system is able to double the capacity of the physical network infrastructure, while ensuring the target quality of service for all users.

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