Optimized Uplink OFDMA Resource Allocation with Ergodic Rate Maximization PDF Download

Author: Ahmad Mahmoud El Hajj
Publisher:
ISBN:
Category :
Languages : en
Pages : 100

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Book Description
Two broadband wireless standards have recently emerged as candidates for the evo lution of current state-of-the-art wireless systems: 3GPP Long Term Evolution (L TE) and mobile WiMAX (IEEE 802.16e). These standards have adopted Orthogonal Fre quency Division Multiple Access (OFDMA) as an accessing scheme due to its immuni ty to inter-symbol interference and frequency selective fading. With the limited power and bandwidth resources and the tight QoS requirements, optimized resourc e allocation to mobile users in the network becomes a must. The issue of resourc e allocation in OFDMA has been widely investigated in the downlink both in the c ase of instantaneous rate maximization and ergodic rate maximization. On the con trary, little work has been accomplished in the uplink, and none considered ergo dic rate maximization. In this thesis, we formulate and solve the ergodic rate m aximization problem in the uplink of OFDMA systems subject to per-user power con straints in order to take advantage of the additional temporal dimension. The in itial problem is then modified and solved to impose fairness considerations in t he system. Dual optimization techniques are used and solutions are obtained with zero duality gap. Results demonstrate the gains provided by the obtained soluti ons over other uplink resource allocation algorithms from the literature.

Author: Elias Yaacoub
Publisher: John Wiley & Sons
ISBN: 1118074505
Category : Technology & Engineering
Languages : en
Pages : 298

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Book Description
Tackling problems from the least complicated to the most, Resource Allocation in Uplink OFDMA Wireless Systems provides readers with a comprehensive look at resource allocation and scheduling techniques (for both single and multi-cell deployments) in uplink OFDMA wireless networks relying on convex optimization and game theory to thoroughly analyze performance. Inside, readers will find topics and discussions on: Formulating and solving the uplink ergodic sum-rate maximization problem Proposing suboptimal algorithms that achieve a close performance to the optimal case at a considerably reduced complexity and lead to fairness when the appropriate utility is used Investigating the performance and extensions of the proposed suboptimal algorithms in a distributed base station scenario Studying distributed resource allocation where users take part in the scheduling process, and considering scenarios with and without user collaboration Formulating the sum-rate maximization problem in a multi-cell scenario, and proposing efficient centralized and distributed algorithms for intercell interference mitigation Discussing the applicability of the proposed techniques to state-of-the-art wireless technologies, LTE and WiMAX, and proposing relevant extensions Along with schematics and figures featuring simulation results, Resource Allocation in Uplink OFDMA Wireless Systems is a valuable book for?wireless communications and cellular systems professionals and students.

Author: Chen Chen
Publisher: Springer
ISBN: 3030193926
Category : Technology & Engineering
Languages : en
Pages : 132

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Book Description
This book introduces the sources and historic collection campaigns of resource allocation in wireless communication systems. The unique characteristics of MIMO-OFDMA systems are thoroughly studied and summarized. Remarks on resource allocation and spectrum sharing are also presented, which demonstrate the great value of resource allocation techniques, but also introduce distinct challenges of resource allocation in MIMO-OFDMA systems. Novel resource allocation techniques for OFDMA Systems are surveyed from various applications (e.g., for unicast, or multicast with Guaranteed BER and Rate, subcarrier and power allocation with various detectors, low-complexity energyefficient resource allocation, etc.) in this book. Due to the high mobility and low latency requirements of 5G wireless communications, this book discusses how to deal with the imperfect CSI. It also discusses how to deal with e.g., throughput maximization, outage probabilities maximization and guarantee, energy efficiency, physical-layer security issues with feedback channel capacity constraints, in order to characterize and understand the applications of practical scenes. This book will target professionals & researchers working in the fields of Wireless Communications and Networking, Resource Allocation and Transmissions. Advanced-level students in electrical engineering and computer science will also find this book useful as a secondary textbook.

Author: Elias Edward Yaacoub
Publisher:
ISBN:
Category :
Languages : en
Pages : 504

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Book Description
Orthogonal Frequency Division Multiple Access (OFDMA) has been selected as the accessing scheme for state-of-the-art next generation mobile communication systems. The high data rates expected for current and next generation broadband wireless access systems, such as 3GPP Long Term Evolution (LTE) and WiMAX (IEEE 802.16) necessitate an efficient use of the available resources. Downlink resource allocation in OFDMA systems has received a lot of attention, with relatively less work done on the uplink. The distributed nature of the power constraint in the uplink makes the uplink resource allocation problem more challenging than its downlink counterpart. In this dissertation, the ergodic weighted sum-rate maximization problem in the uplink of single cell OFDMA systems with continuous and discrete rates is formulated and solved. Novel low-complexity suboptimal scheduling algorithms are proposed and shown to perform closely to the optimal solution. These algorithms are generalized to include utility maximization in general, with a focus on proportional fairness. In addition, the results are extended to a distributed base station scenario, and distributed scheduling techniques with and without user cooperation are developed. Furthermore, the problem of uplink resource allocation in a multicell scenario is addressed. Several novel intercell interference mitigation techniques are proposed, in both the centralized and distributed scheduling cases, with and without base station collaboration. Finally, the applicability of the proposed resource allocation algorithms in state-of-the-art wireless systems like LTE and WiMAX is studied.

Author: Ian C. Wong
Publisher: Springer Science & Business Media
ISBN: 0387749454
Category : Technology & Engineering
Languages : en
Pages : 126

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Book Description
This book proposes a unified algorithmic framework based on dual optimization techniques that have complexities that are linear in the number of subcarriers and users, and that achieve negligible optimality gaps in standards-based numerical simulations. Adaptive algorithms based on stochastic approximation techniques are also proposed, which are shown to achieve similar performance with even much lower complexity. All the algorithms proposed are clearly presented in concise block diagrams allowing the reader to implement these algorithms in the software of their choice. This book is an accessible reference for researchers and industry practitioners alike.

Author: Salma Hamda Harchay
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
In wireless systems, resource allocation is still an important challenge to satisfy user requirements and to ensure good system performances with always greedy data applications. Multicarrier techniques especially the Orthogonal Frequency Division Multiplexing (OFDM) techniques are generally used to carry data into orthogonal subcarriers. Furthermore, relaying strategies are used to enhance cell edge performances. Many types of relays can be investigated as fix relays being part of the network infrastructure or mobile relays without additional deployment cost.In this thesis, we mainly consider the resource allocation for an uplink Orthogonal Frequency Division Multiple Access (OFDMA) system for a cellular system model ensuring Quality of Service (QoS) requirements and fairness between users. The most used resource allocation algorithms are presented and a novel Weighted Proportional Fair (WPF) algorithm is proposed to approach upper bounds of both throughput and fairness. The WPF algorithm considers user weights to allocate more subcarriers in the cell center than in the cell edge keeping sufficient fairness between users. We establish a theoretical analysis to compare the behavior of the proposed WPF algorithm to the classical Proportional Fair (PF) algorithm. Then, we extend this WPF algorithm to a multi-cell system model where the Inter-Cell Interference (ICI) limits the system performance. Moreover, we study ICI mitigation strategies and propose a novel method to reduce the ICI based on Base Station (BS) cooperation and interference indicators. We propose the Enhanced Interference Indicator (EII) with integer values to be exchanged by the BSs indicating interference levels for the subcarriers. Function of these communicated EII values, each BS allocates dynamically subcarriers in order to reduce the ICI. Our contributions in the multi-cell system model are the WPF and the EII.Moreover, we investigate in this dissertation the cooperative communication using mobile relays and propose multiple contributions. For this, simple mobile users with advantageous positions can relay cell edge users to carry data to the BS in addition to their own data. A Decode and Forward (DF) relay multiplex then its own data and relayed data before transmitting to the BS. The resource allocation is formulated as an optimization problem aiming to minimize the system transmit power and respecting a required target data rate per user constraint. In a first time, we propose an initialization method for the paring step to associate source-relay pairs and propose an iterative heuristic to optimize both power and Resource Blocks (RB) allocations. In a second time, we consider the relay selection as an optimization variable in addition of power and RB allocations. For resolution, Lagrangian decomposition and Dual method are used and the global problem is divided into subproblems iterativelly resolved to approach the optimal solution. Finally, we extend this cooperative system model to a Multiple Input Multiple Output (MIMO) system model to study the influence of multiple antennas on the system transmit power. The features to optimize are relay selection, power and RBs allocation. Moreover, to allocate power in the different antennas for each user, both Equal Power Allocation (EPA) and beamforming are studied. Theoretical expressions are established and simulations results are presented to compare EPA, beamforming and non-cooperative system.

Author: Saeedeh Parsaeefard
Publisher: Springer
ISBN: 3319503898
Category : Technology & Engineering
Languages : en
Pages : 255

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Book Description
This book presents state-of-the-art research on robust resource allocation in current and future wireless networks. The authors describe the nominal resource allocation problems in wireless networks and explain why introducing robustness in such networks is desirable. Then, depending on the objectives of the problem, namely maximizing the social utility or the per-user utility, cooperative or competitive approaches are explained and their corresponding robust problems are considered in detail. For each approach, the costs and benefits of robust schemes are discussed and the algorithms for reducing their costs and improving their benefits are presented. Considering the fact that such problems are inherently non-convex and intractable, a taxonomy of different relaxation techniques is presented, and applications of such techniques are shown via several examples throughout the book. Finally, the authors argue that resource allocation continues to be an important issue in future wireless networks, and propose specific problems for future research.

Author: Nathalie Mitton
Publisher: Springer
ISBN: 3319405098
Category : Computers
Languages : en
Pages : 353

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Book Description
This book constitutes the proceedings of the 15th International Conference on Ad Hoc Networks and Wireless, ADHOC-NOW 2016, held in Lille, France in July 2016. The 23 full papers presented together with one short paper in this volume were carefully reviewed and selected from 64 submissions. The contributions are organized in topical sections named: resource allocation, theory and communications, PHY/MAC/routing in sensors/IoT, DTN/opportunistic networks, sensors/IoT, security, VANET and ITS, and robots and MANETs.

Author: He Tianzhou
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659714528
Category :
Languages : en
Pages : 104

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Book Description
Efficient resource allocation for diverse data streams has attracted interest in future network design. We investigate the chunk-based resource allocation for OFDMA downlink, where data streams contain packets with diverse bit-error-rate (BER) requirements. Supposing that adaptive transmissions are based on a number of discrete modulation and coding modes, we derive the optimal resource allocation scheme that maximizes the weighted sum of average user rates under the multiple BER and total power constraints. With proper formulation, the relevant optimization problem is cast as an integer linear program. It is shown that the optimal strategy for this problem can be obtained through Lagrange dual-based gradient iterations with fast convergence and low computational complexity per iteration. A novel on-line algorithm is developed to approach the optimal strategy without knowledge of intended wireless channels a priori. Furthermore, the proposed approach is generalized to utility maximization of average user rates to balance the trade-off between the total throughput and fairness among users. Numerical results are provided to gauge the performance of the proposed schemes.

Author: Jie Tang
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
Due to introduction of smart phones with data intensive multimedia and interactive applications and exponential growth of wireless devices, there is a shortage for useful radio spectrum. Even though the spectrum has become crowded, many spectrum occupancy measurements indicate that most of the allocated spectrum is underutilised. Hence radically new approaches in terms of allocation of wireless resources are required for better utilization of radio spectrum. This has motivated the concept of opportunistic spectrum sharing or the so-called cognitive radio technology that has great potential to improve spectrum utilization. The cognitive radio technology allows an opportunistic user namely the secondary user to access the spectrum of the licensed user (known as primary user) provided that the secondary transmission does not harmfully affect the primary user. This is possible with the introduction of advanced resource allocation techniques together with the use of wireless relays and spatial diversity techniques. In this thesis, various mathematical optimization techniques have been developed for the efficient use of radio spectrum within the context of spectrum sharing networks. In particular, optimal power allocation techniques and centralised and distributed beamforming techniques have been developed. Initially, an optimization technique for subcarrier and power allocation has been proposed for an Orthogonal Frequency Division Multiple Access (OFDMA) based secondary wireless network in the presence of multiple primary users. The solution is based on integer linear programming with multiple interference leakage and transmission power constraints. In order to enhance the spectrum efficiency further, the work has been extended to allow multiple secondary users to occupy the same frequency band under a multiple-input and multiple-output (MIMO) framework. A sum rate maximization technique based on uplink-downlink duality and dirty paper coding has been developed for the MIMO based OFDMA network. The work has also been extended to handle fading scenarios based on maximization of ergodic capacity. The optimization techniques for MIMO network has been extended to a spectrum sharing network with relays. This has the advantage of extending the coverage of the secondary network and assisting the primary network in return for the use of the primary spectrum. Finally, instead of considering interference mitigation, the recently emerged concept of interference alignment has been used for the resource allocation in spectrum sharing networks. The performances of all these new algorithms have been demonstrated using MATLAB based simulation studies.