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.
"synopsis" may belong to another edition of this title.
ELIAS E. YAACOUB, PhD, is currently a research scientist at the Qatar University Wireless Innovations Center. His research interests include scheduling and interference mitigation in multi-cell OFDMA and LTE networks. He has authored numerous journal and conference papers on these topics. Dr. Yaacoub is a member of the IEEE and a member of the Lebanese Order of Engineers.
ZAHER DAWY, PhD, is an associate professor at the American University of Beirut (AUB). His research interests include cooperative and distributed communications, resource allocation, cellular technologies, and computational biology. He received the IEEE Communications Society Outstanding Young Researcher Award for Europe, Middle East, and Africa Region in 2011 and the AUB 2008 Teaching Excellence Award. Dr. Dawy is a senior member of the IEEE and Chair of the IEEE Communications Society, Lebanon Chapter.
"About this title" may belong to another edition of this title.
Shipping:
US$ 8.79
From France to U.S.A.
Seller: Ammareal, Morangis, France
Hardcover. Condition: Très bon. Ancien livre de bibliothèque. Edition 2012. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 2012. Ammareal gives back up to 15% of this item's net price to charity organizations. Seller Inventory # D-598-466
Quantity: 1 available
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New. Seller Inventory # 12219241-n
Quantity: 2 available
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Condition: New. Seller Inventory # ABLIING23Mar2317530294198
Quantity: Over 20 available
Seller: California Books, Miami, FL, U.S.A.
Condition: New. Seller Inventory # I-9781118074503
Quantity: Over 20 available
Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
Hardcover. Condition: new. Hardcover. 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 networksrelying 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. This book treats the problems of single cell resource allocation, multiple cells resource allocation, centralized resource allocation, distributed resource allocation, the case of collaboration between base stations and the case without base station collaboration, in addition to the case of user cooperation and the case without user cooperation. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781118074503
Quantity: 1 available
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # FW-9781118074503
Quantity: 2 available
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Hardback. Condition: New. New copy - Usually dispatched within 4 working days. 574. Seller Inventory # B9781118074503
Quantity: 2 available
Seller: Chiron Media, Wallingford, United Kingdom
Hardcover. Condition: New. Seller Inventory # 6666-WLY-9781118074503
Quantity: 2 available
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In. Seller Inventory # ria9781118074503_new
Quantity: 2 available
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New. Seller Inventory # 12219241-n
Quantity: 2 available