A Unified Framework for Optimal Resource Allocation in Multiuser Multicarrier Wireless Systems PDF Download
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Author: Ian Chan Wong
Publisher:
ISBN: 9780549070863
Category :
Languages : en
Pages : 170
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Book Description
Finally, it was assumed in previous work that perfect channel state information (CSI) is available at the transmitter, which is quite unrealistic due to inevitable channel estimation errors and feedback delay. This dissertation develops algorithms assuming that only imperfect CSI is available, such that allocation decisions are made while explicitly considering the error statistics of the CSI.
Author: Ian Chan Wong
Publisher:
ISBN: 9780549070863
Category :
Languages : en
Pages : 170
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Book Description
Finally, it was assumed in previous work that perfect channel state information (CSI) is available at the transmitter, which is quite unrealistic due to inevitable channel estimation errors and feedback delay. This dissertation develops algorithms assuming that only imperfect CSI is available, such that allocation decisions are made while explicitly considering the error statistics of the CSI.
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: Ian C. Wong
Publisher: Springer
ISBN: 9780387521176
Category : Technology & Engineering
Languages : en
Pages : 0
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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: Yang Xu
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
"Interference among users results in the degradation of signal quality and leads to poor performance in multi-user interference systems such as DSL system, ad-hoc wireless network. Study of the interaction of interference among users in the network is crucial for achieving better system performance. Efficient utilization of available resources in an interference system has two major complementary approaches: interference cancellation and resource allocation. The principal objective of this thesis is to develop efficient resource allocation algorithms that can optimize joint perfounance of multiple users in multi-user multi-carrier interference channels. Such resource allocation problems in multi-user interference channels can be formulized as nonconvex optimization problems. The search for the optimal solution is very challenging for these problems: conventional local optimization techniques are only capable of finding local optimum; In addition, resource allocation problems encountered in practice generally are large-scale ones, as the number of users or the number of sub-carriers in the system is typically large. For instance, digital subscriber lines (DSL) system, which is employed as a motivating practical model in this dissertation, has thousands of sub-carriers and large number of lines residing in a binder that cause interference to each other. Designing distributed and centralized resource allocation strategies to achieve good optimality and complexity tradeoff for multi-user interference systems by exploiting the underlining problem structures is the main focus of this thesis. This thesis develops two dynamic resource allocation strategies, responding to different requirements that might arise in various practical scenarios of DSL environment: one is a low-complexity, quasi-distributed algorithm that achieves near-optimal performance with very little centralized coordination; the other is a centralized algorithm based on global difference of convex (d.c.) optimization that guarantees optimal performance with substantial complexity reduction. Our global d.c. approach reveals the hidden convexity of nonconvex optimization problems in interference systems, which were once thought of completely being devoid of any convexity structure. The d.c. structure provides a general framework for designing efficient global optimization algorithm for resource allocation in multi-user interference channel. In particular, a modified prismatic branch and bound (PBnB) is proposed to find global optimum efficiently and its global convergence is also established by analysis. Furthermore, motivated by the observation that the excessive transmission power penalty incurred by zero forcing (ZF) precoding scheme with user selection algorithm for MIMO Broadcast (BC) channels contributing to sum-rate capacity loss, we also explore joint power allocation and interference pre-cancellation (precoding) for wireless MIMO BC channels. A channel inversion regularization (CIR) strategy is proposed to replace ZF as the precoding scheme to alleviate the excessive transmission power penalty and we formulate the maximization of the sum-rate capacity with CIR precoding into d.c. structure and thereafter its global optimum can be achieved with PBnB algorithm. Moreover, we propose a local optimization method based on gradient projection (GP) to achieve near-optimal solution efficiently and we also conduct asymptotic analysis to show that the proposed CIR precoding scheme can achieve asymptotically optimum sum rate equal to that of dirty paper coding (DPC) strategy."--
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: Jennifer Elizabeth Price
Publisher:
ISBN: 9780549051879
Category :
Languages : en
Pages : 157
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Book Description
The contributions of this research lie in four main areas: (i) distributed and adaptive rate assignments for CDMA 1xEVDO-type systems, (ii) cross-layer optimal rate assignments for hybrid wired/wireless CDMA networks, (iii) leveraging downlink for socially optimal and incentive compatible uplink rate allocation in cellular networks, and (iv) capacity-achieving rate assignments in unicast networks that employ network coding. In each of these problems, I address issues related to modeling, analysis, implementation, and validation.
Author: Zhu Han
Publisher:
ISBN: 9781139129435
Category : TECHNOLOGY & ENGINEERING
Languages : en
Pages : 559
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Book Description
Do you need to improve wireless system performance? Learn how to maximise the efficient use of resources with this systematic and authoritative account of wireless resource management. Basic concepts, optimization tools and techniques, and application examples, are thoroughly described and analysed, providing a unified framework for cross-layer optimization of wireless networks. State-of-the-art research topics and emerging applications, including dynamic resource allocation, cooperative networks, ad hoc/personal area networks, UWB, and antenna array processing, are examined in depth. If you are involved in the design and development of wireless networks, as a researcher, graduate student or professional engineer, this is a must-have guide to getting the best possible performance from your network.
Author: Xuan Wang
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
In this dissertation, we discuss various aspects of scheduling and resource allocation in multi-user wireless systems. This work starts from how to utilize advanced physical-layer technology to improve the system performance in a multi-user environment. We show that by using superposition coding (SPC) and successive interference cancellation, the system performance can be greatly improved with utility-based scheduling. Several observations are made as the design guideline for such system. Scheduling algorithms are designed for a system with hierarchical modulation which is a practical implementation of SPC. However, when the utility-based scheduling is designed, it is based on the assumption that the system is saturated, {\em i.e.}, users in the system always have data to transmit. It is pointed out in the literature that in a system with stochastic traffic, even if the arrival rate lies inside the capacity region, the system in terms of queue might not be stable with the utility-based scheduling. Motivated by this, we have studied the stability region of a general utility-based scheduling in a multi-user system with stochastic traffic. We show that the stability region is generally less than the capacity region, depends on how to interpret an intermediate control variable, and the resultant stability region may be even non-convex and exhibits undesirable properties which should be avoided. As the utility-based scheduling cannot achieve throughput-optimal, we turn our attentions to the throughput-optimal scheduling algorithms, whose stability region is identical to the capacity region. The limiting properties of an overloaded wireless system with throughput-optimal scheduling algorithms are studied. The results show that the queue length is unstable however the scheduling function of the queue length is stable, and the average throughput of the system converges. Finally we study how to schedule users in a multi-user wireless system with information-theoretic security support, which is focused on the secrecy outage probability. The problem is essentially about how to schedule users, and allocate resources to stabilize the system and minimize the secrecy outage probability. We show that there is a tradeoff between the arrival rate of the traffic and the secrecy outage probability. The relative channel condition of the eavesdropper also plays an important role to the secrecy outage probability. In summary, we showed utility-based scheduling using SPC can improve the system performance greatly, but the utility-based scheduling has limitations: the stability region might not have desired properties. On the contrary throughput-optimal scheduling has its own drawbacks: the traffic cannot be handled properly if the system is overloaded. The further study on the secrecy outage probability gives guideline on how to design a scheduler in a system with information-theoretic security support.
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: Emil Björnson
Publisher: Now Pub
ISBN: 9781601986382
Category : Technology & Engineering
Languages : en
Pages : 282
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Book Description
Optimal Resource Allocation in Coordinated Multi-Cell Systems provides a solid grounding and understanding for optimization of practical multi-cell systems and will be of interest to all researchers and engineers working on the practical design of such systems.
