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Liu, J.; Ye, Yi; Proutière, Alexandre; Chiang, Mung; Poor, H. Vincent

doi:10.1002/wcm.v10:1

Cited by 37 publications

(1 citation statement)

References 291 publications

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“…These measurements are provided to the international cognitive radio and dynamic spectrum access research community and can be used to validate and analyze the performance of the proposed routing solutions. Furthermore, recent papers have demonstrated the cognitive radio over FM bands via the Universal Software Radio Peripheral ( [42]) and the feasibility of supporting Wifi connections in TV white spaces [43]. The integration of the cognitive radio routing on these platforms is a next objective.…”

Section: Prototypes and Testbed Implementationsmentioning

confidence: 99%

Routing in cognitive radio networks: Challenges and solutions

2011

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Section: Prototypes and Testbed Implementationsmentioning

confidence: 99%

Routing in cognitive radio networks: Challenges and solutions

2011

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Joint Design

Pathak¹,

Dutta²

2012

Designing for Network and Service Continuity in Wireless Mesh Networks

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Backpressure scheduling in IEEE 802.11 wireless mesh networks: Gap between theory and practice

et al. 2012

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Achieving efficient bandwidth utilization in wireless networks requires solving two important problems: (1) which packets to send (i.e., packet scheduling) and (2) which links to concurrently activate (i.e., link scheduling). To address these scheduling problems, many algorithms have been proposed and their throughput optimality and stability are proven in theory. One of the most well-known scheduling algorithms is backpressure scheduling which performs both link and packet scheduling assuming a TDMA (Time Division Multiple Access) MAC (Medium Access Control) layer. However, there has been limited work on realizing backpressure scheduling with a CSMA/CA (Carrier Sense Multiple Access with Collision Avoidance) MAC layer (e.g., IEEE 802.11). In IEEE 802.11 networks, it is expected that the throughput optimality will not be achieved. In this paper, we investigate the extent of this throughput gap between theoretical TDMA-based backpressure scheduling and an approximation of it for IEEE 802.11 WMNs (Wireless Mesh Networks). Through extensive testbed measurements, we verify that there is indeed a non-negligible throughput gap. We present two main reasons behind this gap: Control inaccuracy that results from approximation of link scheduling and information inaccuracy that results from late or incorrect information, for instance, about queue lengths or network topology. Our results show that losses by MAC-layer collisions and backoff, which mainly occur due to control inaccuracy plays a major role for the throughput gap. On the other hand, while losses by queue drops, typically due to information inaccuracy, do occur, their effect can be tolerated. Nevertheless, both types of inaccuracies need to be mitigated in order to improve throughput.

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Cited by 37 publications

References 291 publications

Routing in cognitive radio networks: Challenges and solutions

Routing in cognitive radio networks: Challenges and solutions

Joint Design

Backpressure scheduling in IEEE 802.11 wireless mesh networks: Gap between theory and practice

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