Energy-Limited vs. Interference-Limited Ad Hoc Network Capacity

Jindal, Nihar; Andrews, Jeffrey G.; Weber, Steven

doi:10.1109/acssc.2007.4487183

Cited by 9 publications

(3 citation statements)

References 6 publications

(6 reference statements)

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“…Interference from other nodes in the network can be more significant than background noise. Therefore, we will consider Signal to Interference and Noise Ratio (SINR) to determine the BER of a communication link [2].…”

Section: Related Workmentioning

confidence: 99%

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Topology Control Using Distributed Power Management Algorithm for Mobile Ad Hoc Networks

Pradhan

Saadawi

2009

JCOMSS

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In order to be strongly connected in the network, a node may increase its power indiscriminately causing interference. Since interference is one of the major problems in wireless network, the proposed algorithm will co-operatively reduce inter-node interference in the network. Further, uni-directional links are a major source of interference as most of the routing protocol only utilizes bi-directional links. The algorithm will attempt to prevent such links or if required convert them into bi-directional links. We will show that the proposed algorithm provides strongly connected and more reliable network over dynamic physical channel modeled by log-distance path loss model, log-normal shadowing model and rayleigh fading model. It stabilizes node connectivity over the dynamic network and environment and even, to a certain extent, prevent node from being completely disconnected from the network. For the selected simulation environment, we will show that the proposed algorithm provides a shorter packet delay, improves the network throughput by as much as 37%, decreases the routing overhead and reduces interference.

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Section: Related Workmentioning

confidence: 99%

“…SNR is defined as the ratio of power of the receiving signal to the noise power at the receiver [3]. We will model the multi-user network as interference-limited rather than noise-limited and consider Signal to Interference and Noise Ratio (SINR) given by equation 2 to determine the BER of a communication link [2].…”

Section: Network With Olsr Routing Protocolmentioning

confidence: 99%

Topology Control Using Distributed Power Management Algorithm for Mobile Ad Hoc Networks

Pradhan

Saadawi

2009

JCOMSS

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“…There have been a few prior efforts focused on determining network regimes. [6], [7] have proposed conditions under which the network is noise or interference-limited. However, the density of the interfering APs are assumed to be fixed which may not be suitable for 5G mmWave networks that may exhibit uncertain spatial configurations due to factors like unplanned user-installed APs [8] and sensitivity to obstacles.…”

Section: Introductionmentioning

confidence: 99%

On the Regimes in Millimeter Wave Networks: Noise-Limited or Interference-Limited?

Niknam

Natarajan

2018

2018 IEEE International Conference on Communications Workshops (ICC Workshops)

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Given the overcrowding in the 300 MHz-3 GHz spectrum, millimeter wave (mmWave) spectrum is a promising candidate for the future generations of wireless networks. With the unique propagation characteristics at mmWave frequencies, one of the fundamental questions to address is whether mmWave networks are noise or interference-limited. The regime in which the network operates significantly impacts the MAC layer design, resource allocation procedure and also interference management techniques. In this paper, we first derive the statistical characteristic of the cumulative interference in finite-sized mmWave networks considering configuration randomness across spatial and spectral domains while including the effect of blockages. Subsequently, using the derived interference model we set up a likelihood ratio test (LRT) (that is dependent on various network parameters) in order to detect the regime of the network from an arbitrarily located user standpoint. Unlike traditional networks, in mmWave networks, different likelihood of experiencing an interference-limited regime can be observed at different locations.

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Outage threshold extraction for maximising the capacity of wireless ad hoc networks

Rezagah

Mohammadi

2011

IET Communications

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Energy-Limited vs. Interference-Limited Ad Hoc Network Capacity

Cited by 9 publications

References 6 publications

Topology Control Using Distributed Power Management Algorithm for Mobile Ad Hoc Networks

Topology Control Using Distributed Power Management Algorithm for Mobile Ad Hoc Networks

On the Regimes in Millimeter Wave Networks: Noise-Limited or Interference-Limited?

Outage threshold extraction for maximising the capacity of wireless ad hoc networks

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