Resource Allocation For Heterogeneous Wireless Networks
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Resource Management For Heterogeneous Wireless Networks
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Author : Amila Tharaperiya Gamage
language : en
Publisher: Springer
Release Date : 2017-08-18
Resource Management For Heterogeneous Wireless Networks written by Amila Tharaperiya Gamage and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-18 with Technology & Engineering categories.
This book provides an in-depth discussion on how to efficiently manage resources of heterogeneous wireless networks and how to design resource allocation algorithms to suit real world conditions. Efficiently managing resources of the networks is more crucial now, than ever before, to meet users’ rapidly increasing demand for higher data rates, better quality-of-service (QoS) and seamless coverage. Some of the techniques that can be incorporated within heterogeneous wireless networks to achieve this objective are interworking of the networks, user multi-homing and device-to-device (D2D) communication. Designing resource allocation algorithms to suit real world conditions is also important, as the algorithms should be deployable and perform well in real networks. For example, two of the conditions considered in this book are resource allocation intervals of different networks are different and small cell base stations have limited computational capacity. To address the first condition, resource allocation algorithms for interworking systems are designed to allocate resources of different networks at different time-scales. To address the second condition, resource allocation algorithms are designed to be able to run at cloud computing servers. More of such conditions, algorithms designed to suit these conditions, modeling techniques for various networks and performance analysis of the algorithms are discussed in the book. This book concludes with a discussion on the future research directions on the related fields of study. Advanced-level students focused on communication and networking will use this book as a study guide. Researchers and experts in the fields of networking, converged networks, small-cell networks, resource management, and interference management, as well as consultants working in network planning and optimization and managers, executives and network architects working in the networking industry will also find this book useful as a reference.
Resource Allocation For Heterogeneous Wireless Networks
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Author : Amila Pradeep Kumara Tharaperiya Gamage
language : en
Publisher:
Release Date : 2015
Resource Allocation For Heterogeneous Wireless Networks written by Amila Pradeep Kumara Tharaperiya Gamage and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Heterogeneous computing categories.
Demand for high volumes of mobile data traffic with better quality-of-service (QoS) support and seamless network coverage is ever increasing, due to growth of the number of smart mobile devices and the applications that run on these devices. Also, most of these high volumes of data traffic demanding areas are covered by heterogeneous wireless networks, such as cellular networks and wireless local area networks (WLANs). Therefore, interworking mechanisms can be used in these areas to enhance the network capacity, QoS support and coverage. Interworking enhances network capacity and QoS support by jointly allocating resources of multiple networks and enabling user multi-homing, where multi-homing allows users to simultaneously communicate over multiple networks. It widens network coverage by merging coverage of individual networks. However, there are areas where interworking cannot improve network capacity or QoS support, such as the areas with coverage of only one networks. Therefore, to achieve network-wide uniform capacity and QoS support enhancements, interworking can be integrated with device-to-device (D2D) communication and small cell deployment techniques. One of the challenging issues that need to be solved before these techniques can be applied in practical networks is the efficient resource allocation, as it has a direct impact on the network capacity and QoS support. Therefore, this thesis focuses on studying and developing efficient resource allocation schemes for interworking heterogeneous wireless networks which apply D2D communication and small cell deployment techniques. First, uplink resource allocation for cellular network and WLAN interworking to provide multi-homing voice and data services is investigated. The main technical challenge, which makes the resource allocation for this system complicated, is that resource allocation decisions need to be made capturing multiple physical layer (PHY) and medium access control layer (MAC) technologies of the two networks. This is essential to ensure that the decisions are feasible and can be executed at the lower layers. Thus, the resource allocation problem is formulated based on PHY and MAC technologies of the two networks. The optimal resource allocation problem is a multiple time-scale Markov decision process (MMDP) as the two networks operate at different time-scales, and due to voice and data service requirements. A resource allocation scheme consisting of decision policies for the upper and the lower levels of the MMDP is derived. To reduce the time complexity, a heuristic resource allocation algorithm is also proposed. Second, resource allocation for D2D communication underlaying cellular network and WLAN interworking is investigated. Enabling D2D communication within the interworking system further enhances the spectrum efficiency, especially at areas where only one network is available. In addition to the technical challenges encountered in the first interworking system, interference management and selection of users' communication modes for multiple networks to maximize hop and reuse gains complicate resource allocation for this system. To address these challenges, a semi-distributed resource allocation scheme that performs mode selection, allocation of WLAN resources, and allocation of cellular network resources in three different time-scales is proposed. Third, resource allocation for interworking macrocell and hyper-dense small cell networks is studied. Such system is particularly useful for interference prone and high capacity demanding areas, such as busy streets and city centers, as it uses license frequency bands and provides a high spectrum efficiency through frequency reuse and bringing network closer to the users. The key challenge for allocating resources for this system is high complexity of the resource allocation scheme due to requirement to jointly allocate resources for a large number of small cells to manage co-channel interference (CCI) in the system. Further, the resource allocation scheme should minimize the computational burden for low-cost small cell base stations (BSs), be able to adapt to time-varying network load conditions, and reduce signaling overhead in the small cell backhauls with limited capacity. To this end, a resource allocation scheme which operates on two time-scales and utilizes cloud computing to determine resource allocation decisions is proposed. Resource allocation decisions are made at the cloud in a slow time-scale, and are further optimized at the BSs in a fast time-scale in order to adapt the decisions to fast varying wireless channel conditions. Achievable throughput and QoS improvements using the proposed resource allocation schemes for all three systems are demonstrated via simulation results. In summary, designing of the proposed resource allocation schemes provides valuable insights on how to efficiently allocate resources considering PHY and MAC technologies of the heterogeneous wireless networks, and how to utilize cloud computing to assist executing a complex resource allocation scheme. Furthermore, it also demonstrates how to operate a resource allocation scheme over multiple time-scales. This is particularly important if the scheme is complex and requires a long time to execute, yet the resource allocation decisions are needed to be made within a short interval.
Interference And Resource Management In Heterogeneous Wireless Networks
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Author : Jiandong Li
language : en
Publisher: Artech House
Release Date : 2017-11-30
Interference And Resource Management In Heterogeneous Wireless Networks written by Jiandong Li and has been published by Artech House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-30 with Technology & Engineering categories.
This authoritative resource offers a comprehensive overview of heterogeneous wireless networks, small cells, and device-to-device (D2D) communications. The book provides insight into network modeling and performance analysis of heterogeneous wireless networks. Interference management framework and design issues are covered as well as details about resource mobility, channel models, and typical and statistical interference modeling. This resource explains leveraging resource heterogeneity in interference mitigation and presents the challenges and feasible solutions for concurrent transmission. Moreover, complete coverage of interference alignment in MIMO heterogeneous networks for both downlink and uplink is presented. This book provides performance results for an ideal partially connected interference network as well as a practical heterogeneous network. Readers find practical guidance for LTE and LTE-Advanced as well as 5G in this resource. New techniques and designs for heterogeneous wireless networks are included.
Resource Allocation Methods For Quality Of Service Provisioning In Heterogeneous Wireless Networks
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Author : Nessrine Chakchouk
language : en
Publisher:
Release Date : 2012
Resource Allocation Methods For Quality Of Service Provisioning In Heterogeneous Wireless Networks written by Nessrine Chakchouk and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Resource allocation categories.
The increased use of mobile wireless devices that we have recently been witnessing, such as smartphones, tablets, e-readers, and WiFi enabled devices in general, is driving an unprecedented increase in the amount of data traffic. This fast market adoption of the wireless technology along with the tremendous success of multimedia applications brought about higher capacity, connectivity, and Quality of Service (QoS) requirements that can no longer be met with traditional networking paradigms. As a result, heterogeneous wireless networks have recently emerged as a potential solution for meeting such new requirements. Hybrid wireless mesh networks and femtocell/macrocell networks are examples of these newly emerging heterogeneous networks. While mesh networks are viewed as the backbone/core network, femtocell and cellular networks are viewed as the access networks linking end-users with the backbone networks. In this dissertation, we address the problem of resource allocation in heterogeneous networks. We investigate both types of networks/architectures: next-generation wireless backbone networks or simply wireless mesh networks (WMNs) and next-generation wireless access networks or simply femtocell (FC) networks. WMNs were first introduced to foster the availability of Internet services anywhere and at anytime. However, capacity limitation has been a fundamental challenge to WMNs, mainly due to the interference arising from the wireless nature of the environment as well as to the scarcity of the radio/channel resources. To overcome this problem, we propose in this dissertation an efficient scheduling scheme that reduces interference among active links via wise time and frequency assignments to the wireless mesh routers. The developed scheme is traffic aware in that it maximizes the capacity of wireless links but while accounting for their traffic loads, thus meeting the end-to-end bandwidth requirements as much as possible. In the second part of this thesis, we focus on developing power allocation techniques for FC networks. FCs have recently emerged as a key networking solution that has great potential for improving the capacity and coverage of traditional macrocell (MC) networks through high-speed indoor coverage. Their deployment, however, has given rise to new interference challenges which are mainly due to the FCs' autonomous nature and to the unreliability of the wireless medium. Driven by this fact, in the second part of this thesis, we first design a fully-distributed estimation-based power allocation scheme that aims at fairly maximizing the capacity of FC networks. Second, we propose a novel distributed stochastic power control scheme that aims at maintaining the users' minimum= required QoS. Finally, we provide cross-layer performance analysis of two-tier FC networks, in which we characterize the uplink interference and study its impact on the data-link layer QoS performance in FC networks.
Cooperation And Integration In 6g Heterogeneous Networks
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Author : Jun Du
language : en
Publisher: Springer Nature
Release Date : 2022-12-08
Cooperation And Integration In 6g Heterogeneous Networks written by Jun Du and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-08 with Computers categories.
To provide ubiquitous and various services, 6G networks tend to be more comprehensive and multidimensional by integrating current terrestrial networks with space-/air-based information networks and marine information networks; then, heterogeneous network resources, as well as different types of users and data, will be also integrated. Driven by the exponentially growing demands of multimedia data traffic and computation-heavy applications, 6G heterogenous networks are expected to achieve a high QoS with ultra-reliability and low latency. In response, resource allocation has been considered an important factor that can improve 6G performance directly by configuring heterogeneous communication, computing and caching resources effectively and efficiently. The book addresses a range of technical issues in cooperative resource allocation and information sharing for the future 6G heterogenous networks, from the terrestrial ultra-dense networks and space-based networks to the integrated satellite-terrestrial networks, as well as introducing the effects of cooperative behavior among mobile users on increasing capacity, trustworthiness and privacy. For the cooperative transmission in heterogeneous networks, the authors commence with the traffic offloading problems in terrestrial ultra-dense networks, and the cognitive and cooperative mechanisms in heterogeneous space-based networks, the stability analysis of which is also provided. Moreover, for the cooperative transmission in integrated satellite-terrestrial networks, the authors present a pair of dynamic and adaptive resource allocation strategies for traffic offloading, cooperative beamforming and traffic prediction based cooperative transmission. Later, the authors discuss the cooperative computation and caching resource allocation in heterogeneous networks, with the highlight of providing our current studies on the game theory, auction theory and deep reinforcement learning based approaches. Meanwhile, the authors introduce the cooperative resource and information sharing among users, in which capacity oriented-, trustworthiness oriented-, and privacy oriented cooperative mechanisms are investigated. Finally, the conclusion is drawn.
Resource Allocation In Next Generation Broadband Wireless Access Networks
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Author : Singhal, Chetna
language : en
Publisher: IGI Global
Release Date : 2017-02-14
Resource Allocation In Next Generation Broadband Wireless Access Networks written by Singhal, Chetna and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-14 with Computers categories.
With the growing popularity of wireless networks in recent years, the need to increase network capacity and efficiency has become more prominent in society. This has led to the development and implementation of heterogeneous networks. Resource Allocation in Next-Generation Broadband Wireless Access Networks is a comprehensive reference source for the latest scholarly research on upcoming 5G technologies for next generation mobile networks, examining the various features, solutions, and challenges associated with such advances. Highlighting relevant coverage across topics such as energy efficiency, user support, and adaptive multimedia services, this book is ideally designed for academics, professionals, graduate students, and professionals interested in novel research for wireless innovations.
Resource Allocation For Heterogeneous Traffic In A Wireless Network
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Author : Erik Anderlind
language : en
Publisher:
Release Date : 1995
Resource Allocation For Heterogeneous Traffic In A Wireless Network written by Erik Anderlind and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with categories.
Cognitive Resource Management For Heterogeneous Cellular Networks
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Author : Yongkang Liu
language : en
Publisher: Springer
Release Date : 2014-05-07
Cognitive Resource Management For Heterogeneous Cellular Networks written by Yongkang Liu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-07 with Computers categories.
This Springer Brief focuses on cognitive resource management in heterogeneous cellular networks (Het Net) with small cell deployment for the LTE-Advanced system. It introduces the Het Net features, presents practical approaches using cognitive radio technology in accommodating small cell data relay and optimizing resource allocation and examines the effectiveness of resource management among small cells given limited coordination bandwidth and wireless channel uncertainty. The authors introduce different network characteristics of small cell, investigate the mesh of small cell access points in parallel with macrocells in network control and resource management and address resource management in the backhaul with coordination constraints and wireless channel uncertainty. The final section of this brief summarizes and provides future research directions for this topic, including a proposed framework that has been evaluated through realistic simulations. Cognitive Resource Management for Heterogeneous Cellular Networks is designed for researchers and professionals working in wireless communications and networks. Advanced-level students studying electrical and computer engineering should also find the content helpful.
Interference Management And Resource Allocation In Heterogeneous Wireless Networks
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Author : Ahmed Ragab Elsherif
language : en
Publisher:
Release Date : 2014
Interference Management And Resource Allocation In Heterogeneous Wireless Networks written by Ahmed Ragab Elsherif and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
Recent studies have shown that a large percentage of cellular voice and data traffic originate from indoor usage. The concept of heterogeneous networks (HetNets) consisting of traditional macrocells and newly envisioned small cells has been proposed to solve the indoor coverage problem and to offload some traffic from traditional macrocells. The heterogeneity in HetNets refers mainly tocoverage where, unlike macrocells, small cells are low power short range base stations that can be deployed by network operators or end users. The main challenge of the deployment of HetNets is theinter- and intra-tier interference when sharing the same spectrum. In this work, we study HetNet deployments in various scenarios and propose several algorithms for interference management and resource allocation in those scenarios. In the first part of the dissertation, we study HetNets operating in licensed cellular band. We study the two popular deployment scenarios of public/home femtocells and enterprise femtocells. For public/home femtocells, the main challenge we study is the inter-tier interference between femtocell base station (FBS) and macrocell user equipment (MUE) in downlink. We propose a spatial domain approach for interference management through MIMO precoding and develop three time-frequency domain approaches for interference management through resource allocation. The main theme of our work is to exploit the already-available feedback information in existing cellular systems for interference management and resource allocation in HetNets. On the other hand, in enterprise femtocell deployments such as shopping malls, stadiums, or corporate premises, the major challenge is intra-tier interference among femtocells. For enterprise environments, we present a partially centralized architecture for interference management among femtocells through graph coloring followed by local resource allocation for HUEs associated with each femtocell with consideration of fairness. Next, we present the concept of dual-access-technology small cells with both licensed and unlicensed band interfaces which represents another dimension of heterogeneity that can be thought of as vertical heterogeneity. The use of dual-access-technology small cells is motivated by the widespread WiFi hotspots and the common inclusion of WiFi interface in most cellular user terminals. For dual-access-technology small cells, we study public/home small cells as well as enterprise femtocells. We formulate an optimization problem that jointly allocates resources over both licensed and unlicensed bands with the goal of maximizing sum rate of small cell user equipments with fairness constraints together with controlling inter- or intra-tier interference to neighboring macrocell or femtocell users, respectively. An important feature that our proposed solution furtherconsiders is the Quality of Service (QoS) requirements of different users traffic types to be distributed over licensed and/or unlicensed bands.
Green Heterogeneous Wireless Networks
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Author : Muhammad Ismail
language : en
Publisher: John Wiley & Sons
Release Date : 2016-10-17
Green Heterogeneous Wireless Networks written by Muhammad Ismail and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-17 with Technology & Engineering categories.
This book focuses on the emerging research topic "green (energy efficient) wireless networks" which has drawn huge attention recently from both academia and industry. This topic is highly motivated due to important environmental, financial, and quality-of-experience (QoE) considerations. Specifically, the high energy consumption of the wireless networks manifests in approximately 2% of all CO2 emissions worldwide. This book presents the authors’ visions and solutions for deployment of energy efficient (green) heterogeneous wireless communication networks. The book consists of three major parts. The first part provides an introduction to the "green networks" concept, the second part targets the green multi-homing resource allocation problem, and the third chapter presents a novel deployment of device-to-device (D2D) communications and its successful integration in Heterogeneous Networks (HetNets). The book is novel in that it specifically targets green networking in a heterogeneous wireless medium, which represents the current and future wireless communication medium faced by the existing and next generation communication networks. The book focuses on multi-homing resource allocation, exploiting network cooperation, and integrating different and new network technologies (radio frequency and VLC), expanding the network coverage and integrating new device centric communication paradigms such as D2D Communications. Whilst the book discusses a significant research topic supported with advanced mathematical analysis, the resulting algorithms and solutions are explained and summarized in a way that is easy to follow and grasp. This book is suitable for networking and telecommunications engineers, researchers in industry and academia, as well as students and instructors.