Transmission Capacity of Wireless Ad Hoc Networks With Successive Interference Cancellation

Weber, Steven; Andrews, Jeffrey G.; Yang, Xue; Veciana, Gustavo de

doi:10.1109/tit.2007.901153

Cited by 298 publications

(325 citation statements)

References 28 publications

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“…While other workers have addressed SIC in wireless environments [10], here we include the power randomization effect introduced by mobility. The physical environment is assumed to be ideal (although some other workers have considered multiple packet reception under Rayleigh fading [9].)…”

Section: Resultsmentioning

confidence: 99%

Free Space Attenuation and Throughput in a Wireless Mobile Network Using Successive Interference Cancellation with Power Randomization

Tunnicliffe

2013

2013 UKSim 15th International Conference on Computer Modelling and Simulation

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-Successive Interference Cancellation (SIC) with Power Randomization (SPR) is simulated for a fully meshed wireless network whose nodes may be stationary and equidistant or mobile within a circumscribed area. When the power level differences are just sufficient to allow multi-user detection with equidistant nodes, the introduction of mobility is found to reduce throughput. However when power level differences are dilated, the adverse effect on throughput is not only reduced but reversed when considering group averages over long intervals.

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Section: Resultsmentioning

confidence: 99%

Free Space Attenuation and Throughput in a Wireless Mobile Network Using Successive Interference Cancellation with Power Randomization

Tunnicliffe

2013

2013 UKSim 15th International Conference on Computer Modelling and Simulation

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“…As contemporary wireless systems are becoming increasingly interference-limited, there is an ascending interest in using advanced interference mitigation techniques to improve the network performance in addition to the conventional approach of treating interference as background noise [1]- [8]. One important approach is successive interference cancellation (SIC).…”

Section: A Successive Interference Cancellation and Related Workmentioning

confidence: 99%

“…To establish advanced models that take into account the spatial distribution of the users, recent papers attempt to analyze the performance of SIC using tools from stochastic geometry [18], [19]. In this context, a guard-zone based approximation is often used to model the effect of interference cancellation due to the well-acknowledged difficulty in tackling the problem directly [1]. According to this approximation, the interferers inside a guard-zone centered at the receiver are assumed canceled, and the size of the guard-zone is used to model the SIC capability.…”

Section: A Successive Interference Cancellation and Related Workmentioning

confidence: 99%

“…This paper considers SIC as a pure receiver end technique 1 , which does not require any modifications to the conventional transmitter architecture. With a general framework for the analysis of d-dimensional Poisson networks, the primary focus of this paper is on 2-d networks 2 , where all the nodes are transmitting at the same rate.…”

Section: B Contributions and Organizationmentioning

confidence: 99%

“…complexity [1], [2]. However, in a network without centralized power control, e.g., ad hoc networks, the use of SIC hinges on the imbalance of the received powers from different users (active transmitters), which depends on the spatial distribution of the users as well as many other network parameters.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The performance of successive interference cancellation in random wireless networks

Zhang

Haenggi

2012

2012 IEEE Global Communications Conference (GLOBECOM)

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This paper provides a unified framework to study the performance of successive interference cancellation (SIC) in wireless networks with arbitrary fading distribution and power-law path loss.An analytical characterization of the performance of SIC is given as a function of different system parameters. The results suggest that the marginal benefit of enabling the receiver to successively decode k users diminishes very fast with k, especially in networks of high dimensions and small path loss exponent. On the other hand, SIC is highly beneficial when the users are clustered around the receiver and/or very low-rate codes are used. Also, with multiple packet reception, a lower per-user information rate always results in higher aggregate throughput in interference-limited networks. In contrast, there exists a positive optimal per-user rate that maximizes the aggregate throughput in noisy networks.The analytical results serve as useful tools to understand the potential gain of SIC in heterogeneous cellular networks (HCNs). Using these tools, this paper quantifies the gain of SIC on the coverage probability in HCNs with non-accessible base stations. An interesting observation is that, for contemporary narrow-band systems (e.g., LTE and WiFi), most of the gain of SIC is achieved by canceling a single interferer.

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Interference in the Presence of Femtocells

Valcarce

Pérez

2009

Femtocells

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Transmission Capacity of Wireless Ad Hoc Networks With Successive Interference Cancellation

Cited by 298 publications

References 28 publications

Free Space Attenuation and Throughput in a Wireless Mobile Network Using Successive Interference Cancellation with Power Randomization

Free Space Attenuation and Throughput in a Wireless Mobile Network Using Successive Interference Cancellation with Power Randomization

The performance of successive interference cancellation in random wireless networks

Interference in the Presence of Femtocells

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