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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Bibliographic Details
Published in:Computer networks (Amsterdam, Netherlands : 1999) Vol. 54; no. 13; pp. 2271 - 2280
Main Authors: Thulasiraman, Preetha, Shen, Xuemin (Sherman)
Format: Journal Article
Language:English
Published: Amsterdam Elsevier B.V 15.09.2010
Elsevier Sequoia S.A
Subjects:
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
Online Access:Get full text
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Summary: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.
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ISSN:1389-1286
1872-7069
DOI:10.1016/j.comnet.2010.03.012