Interference aware resource allocation for hybrid hierarchical wireless networks

This paper addresses the problem of interference aware resource allocation for OFDMA based hybrid hierarchical wireless networks. We develop two resource allocation algorithms considering the impact of wireless interference constraints using a weighted SINR conflict graph to quantify the interferenc...

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Vydáno v:	Computer networks (Amsterdam, Netherlands : 1999) Ročník 54; číslo 13; s. 2271 - 2280
Hlavní autoři:	Thulasiraman, Preetha, Shen, Xuemin (Sherman)
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Amsterdam Elsevier B.V 15.09.2010 Elsevier Sequoia S.A
Témata:	Algorithms Allocations C (programming language) Computer networks Constraints Heuristic Hierarchies Intelligence Interference Maximum concurrent flow Multihop cellular networks Networks Optimization Power Quality of service Rate Resource allocation Reuse Spatial reuse Studies Subcarriers Wireless communication systems Wireless networks Spatial reuse Multihop cellular networks Maximum concurrent flow Rate Power Interference
ISSN:	1389-1286, 1872-7069
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Abstract	This paper addresses the problem of interference aware resource allocation for OFDMA based hybrid hierarchical wireless networks. We develop two resource allocation algorithms considering the impact of wireless interference constraints using a weighted SINR conflict graph to quantify the interference among the various nodes: (1) interference aware routing using maximum concurrent flow optimization; and (2) rate adaptive joint subcarrier and power allocation algorithm under interference and QoS constraints. We exploit spatial reuse to allocate subcarriers in the network and show that an intelligent reuse of resources can improve throughput while mitigating interference. We provide a sub-optimal heuristic to solve the rate adaptive resource allocation problem. We demonstrate that aggressive spatial reuse and fine tuned-interference modeling garner advantages in terms of throughput, end-to-end delay and power distribution.
AbstractList	This paper addresses the problem of interference aware resource allocation for OFDMA based hybrid hierarchical wireless networks. We develop two resource allocation algorithms considering the impact of wireless interference constraints using a weighted SINR conflict graph to quantify the interference among the various nodes: (1) interference aware routing using maximum concurrent flow optimization; and (2) rate adaptive joint subcarrier and power allocation algorithm under interference and QoS constraints. We exploit spatial reuse to allocate subcarriers in the network and show that an intelligent reuse of resources can improve throughput while mitigating interference. We provide a sub-optimal heuristic to solve the rate adaptive resource allocation problem. We demonstrate that aggressive spatial reuse and fine tuned-interference modeling garner advantages in terms of throughput, end-to-end delay and power distribution. This paper addresses the problem of interference aware resource allocation for OFDMA based hybrid hierarchical wireless networks. We develop two resource allocation algorithms considering the impact of wireless interference constraints using a weighted SINR conflict graph to quantify the interference among the various nodes: (1) interference aware routing using maximum concurrent flow optimization; and (2) rate adaptive joint subcarrier and power allocation algorithm under interference and QoS constraints. We exploit spatial reuse to allocate subcarriers in the network and show that an intelligent reuse of resources can improve throughput while mitigating interference. We provide a sub-optimal heuristic to solve the rate adaptive resource allocation problem. We demonstrate that aggressive spatial reuse and fine tuned-interference modeling garner advantages in terms of throughput, end-to-end delay and power distribution. [PUBLICATION ABSTRACT]
Author	Shen, Xuemin (Sherman) Thulasiraman, Preetha
Author_xml	– sequence: 1 givenname: Preetha surname: Thulasiraman fullname: Thulasiraman, Preetha email: pthulasi@bbcr.uwaterloo.ca – sequence: 2 givenname: Xuemin (Sherman) surname: Shen fullname: Shen, Xuemin (Sherman) email: xshen@bbcr.uwaterloo.ca
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Snippet	This paper addresses the problem of interference aware resource allocation for OFDMA based hybrid hierarchical wireless networks. We develop two resource...
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SubjectTerms	Algorithms Allocations C (programming language) Computer networks Constraints Heuristic Hierarchies Intelligence Interference Maximum concurrent flow Multihop cellular networks Networks Optimization Power Quality of service Rate Resource allocation Reuse Spatial reuse Studies Subcarriers Wireless communication systems Wireless networks
Title	Interference aware resource allocation for hybrid hierarchical wireless networks
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