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Capacity Limit, Link Scheduling and ...
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Zhou, Shan.
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Capacity Limit, Link Scheduling and Power Control in Wireless Networks.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Capacity Limit, Link Scheduling and Power Control in Wireless Networks./
作者:
Zhou, Shan.
面頁冊數:
132 p.
附註:
Source: Dissertation Abstracts International, Volume: 74-12(E), Section: B.
Contained By:
Dissertation Abstracts International74-12B(E).
標題:
Engineering, Electronics and Electrical. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3590949
ISBN:
9781303311840
Capacity Limit, Link Scheduling and Power Control in Wireless Networks.
Zhou, Shan.
Capacity Limit, Link Scheduling and Power Control in Wireless Networks.
- 132 p.
Source: Dissertation Abstracts International, Volume: 74-12(E), Section: B.
Thesis (Ph.D.)--Arizona State University, 2013.
The rapid advancement of wireless technology has instigated the broad deployment of wireless networks. Different types of networks have been developed, including wireless sensor networks, mobile ad hoc networks, wireless local area networks, and cellular networks. These networks have different structures and applications, and require different control algorithms.
ISBN: 9781303311840Subjects--Topical Terms:
626636
Engineering, Electronics and Electrical.
Capacity Limit, Link Scheduling and Power Control in Wireless Networks.
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Source: Dissertation Abstracts International, Volume: 74-12(E), Section: B.
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Adviser: Lei Ying.
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Thesis (Ph.D.)--Arizona State University, 2013.
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The rapid advancement of wireless technology has instigated the broad deployment of wireless networks. Different types of networks have been developed, including wireless sensor networks, mobile ad hoc networks, wireless local area networks, and cellular networks. These networks have different structures and applications, and require different control algorithms.
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The focus of this thesis is to design scheduling and power control algorithms in wireless networks, and analyze their performances. In this thesis, we first study the multicast capacity of wireless ad hoc networks. Gupta and Kumar studied the scaling law of the unicast capacity of wireless ad hoc networks. They derived the order of the unicast throughput, as the number of nodes in the network goes to infinity. In our work, we characterize the scaling of the multicast capacity of large-scale MANETs under a delay constraint D. We first derive an upper bound on the multicast throughput, and then propose a lower bound on the multicast capacity by proposing a joint coding-scheduling algorithm that achieves a throughput within logarithmic factor of the upper bound. We then study the power control problem in ad-hoc wireless networks. We propose a distributed power control algorithm based on the Gibbs sampler, and prove that the algorithm is throughput optimal. Finally, we consider the scheduling algorithm in collocated wireless networks with flow-level dynamics. Specifically, we study the delay performance of workload-based scheduling algorithm with SRPT as a tie-breaking rule. We demonstrate the superior flow-level delay performance of the proposed algorithm using simulations.
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