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Resource Allocation Uplink OFDMA Wireless Systems: Optimal Solutions and Practical Implementations

Resource Allocation Uplink OFDMA Wireless Systems: Optimal Solutions and Practical Implementations in Franklin, TN

Current price: $129.95
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Resource Allocation Uplink OFDMA Wireless Systems: Optimal Solutions and Practical Implementations

Barnes and Noble

Resource Allocation Uplink OFDMA Wireless Systems: Optimal Solutions and Practical Implementations in Franklin, TN

Current price: $129.95
Loading Inventory...

Size: 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 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.
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.

More About Barnes and Noble at CoolSprings Galleria

Barnes & Noble is the world’s largest retail bookseller and a leading retailer of content, digital media and educational products. Our Nook Digital business offers a lineup of NOOK® tablets and e-Readers and an expansive collection of digital reading content through the NOOK Store®. Barnes & Noble’s mission is to operate the best omni-channel specialty retail business in America, helping both our customers and booksellers reach their aspirations, while being a credit to the communities we serve.

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Find Barnes and Noble at CoolSprings Galleria in Franklin, TN

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