Receiver-initiated busy-tone multiple access in packet radio networks
SIGCOMM '87 Proceedings of the ACM workshop on Frontiers in computer communications technology
Impact of channel models on simulation of large scale wireless networks
MSWiM '99 Proceedings of the 2nd ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems
Achieving MAC layer fairness in wireless packet networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Effects of wireless physical layer modeling in mobile ad hoc networks
MobiHoc '01 Proceedings of the 2nd ACM international symposium on Mobile ad hoc networking & computing
Impact of interference on multi-hop wireless network performance
Proceedings of the 9th annual international conference on Mobile computing and networking
Experimental evaluation of wireless simulation assumptions
MSWiM '04 Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
Wireless Communications & Mobile Computing - Medium Access Control Protocols for Wireless Ad Hoc Networks
Throughput-optimal configuration of fixed wireless networks
IEEE/ACM Transactions on Networking (TON)
The capacity of wireless networks
IEEE Transactions on Information Theory
Interference aware resource allocation for hybrid hierarchical wireless networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Engineering wireless mesh networks: joint scheduling, routing, power control, and rate adaptation
IEEE/ACM Transactions on Networking (TON)
Navigation function design for backbone connectivity in vehicle ad hoc networks
Computers & Mathematics with Applications
EURASIP Journal on Wireless Communications and Networking
Framework for optimizing the capacity of wireless mesh networks
Computer Communications
Complexity and design of QoS routing algorithms in wireless mesh networks
Computer Communications
An interference-aware routing metric for Wireless Mesh Networks
International Journal of Mobile Communications
IEEE/ACM Transactions on Networking (TON)
Channel assignment strategies for optimal network capacity of IEEE 802.11s
Proceedings of the 9th ACM symposium on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks
How does interference dynamics influence packet delivery in cooperative relaying?
Proceedings of the 16th ACM international conference on Modeling, analysis & simulation of wireless and mobile systems
Measurement-based simulation of WiFi interference
Proceedings of the 16th ACM international conference on Modeling, analysis & simulation of wireless and mobile systems
IEEE/ACM Transactions on Networking (TON)
Computer Networks: The International Journal of Computer and Telecommunications Networking
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In wireless communications, the desired wireless signal is typically decoded by treating the sum of all the other on-going signal transmissions as noise. In the networking literature, this phenomenon is typically abstracted using a wireless channel interference model. The level of detail in the interference model, evidently determines the accuracy of the results based upon the model. Several works in the networking literature have made use of simplistic interference models, e.g., fixed ranges for communication and interference, the capture threshold model (used in the ns2 network simulator), the protocol model, and so on. At the same time, fairly complex interference models such as those based on the SINR (signal-to-interference-and-noise ratio) have also been proposed and used. We investigate the impact of the choice of the interference model, on the conclusions that can be drawn regarding the performance of wireless networks, by comparing different wireless interference models. We find that both in the case of random access networks, as well as in the case of scheduled networks (where node transmissions are scheduled to be completely conflict-free), different interference models can produce significantly different results. Therefore, a lot of caution should be exercised before accepting or interpreting results based on simplified interference models. Further, we feel that an SINR-based model is the minimum level of detail that should be employed to model wireless channel interference in a networking context.