A case for leveraging 802.11p for direct phone-to-phone communications

Choi, Pilsoon; Gao, Jason; Ramanathan, Nadesh; Mao, Mengda; Xu, Sai; Boon, Chirn Chye; Fahmy, Suhaib A.; Peh, Li-Shiuan

doi:10.1145/2627369.2627644

Cited by 16 publications

(4 citation statements)

References 11 publications

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“…Additionally, Vehicle-toInfrastructure (V2I) communication module needs to be added in NRR. This update solution is feasible and practical due to high similarity between the protocol of V2I (IEEE 802.11p) and existing Wi-Fi [26].…”

Section: Realistic Implementationmentioning

confidence: 99%

Next Road Rerouting: A Multiagent System for Mitigating Unexpected Urban Traffic Congestion

Wang

Djahel

Zhang

et al. 2016

IEEE Trans. Intell. Transport. Syst.

110

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Abstract-During peak hours in urban areas, unpredictable traffic congestion caused by en route events (e.g., vehicle crashes) increases drivers' travel time and, more seriously, decreases their travel time reliability. In this paper, an original and highly practical vehicle rerouting system, which is called Next Road Rerouting (NRR), is proposed to aid drivers in making the most appropriate next road choice to avoid unexpected congestions. In particular, this heuristic rerouting decision is made upon a cost function that takes into account the driver's destination and local traffic conditions. In addition, the newly designed multiagent system architecture of NRR allows the positive rerouting impacts on local traffic to be disseminated to a larger area through the natural traffic flow propagation within connected local areas. The simulation results based on both synthetic and realistic urban scenarios demonstrate that, compared with the existing solutions, NRR can achieve a lower average travel time while guaranteeing a higher travel time reliability in the face of unexpected congestion. The impacts of NRR on the travel time of both rerouted and nonrerouted vehicles are also assessed, and the corresponding results reveal its higher practicability.

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Section: Realistic Implementationmentioning

confidence: 99%

Next Road Rerouting: A Multiagent System for Mitigating Unexpected Urban Traffic Congestion

Wang

Djahel

Zhang

et al. 2016

IEEE Trans. Intell. Transport. Syst.

110

View full text Add to dashboard Cite

show abstract

“…This standard actually covers simplicity (uncoordinated access mechanism, no authentication) and low delay (few hundreds ms in crowded areas). What is more, it is possible to implement a low battery consumption version in modern UEs without compromising performance [11]. Recently, there was an increasing interest in adopting LTE to support vehicular network applications [7].…”

Section: Architecturementioning

confidence: 99%

Streaming content from a vehicular cloud

Vigneri

Spyropoulos

Barakat

2016

Proceedings of the Eleventh ACM Workshop on Challenged Networks

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Network densification via small cells is considered as a key step to cope with the data tsunami. Caching data at small cells or even user devices is also considered as a promising way to alleviate the backhaul congestion this densification might cause. However, the former suffers from high deployment and maintenance costs, and the latter from limited resources and privacy issues with user devices. We argue that an architecture with (public or private) vehicles acting as mobile caches and communication relays might be a promising middle ground. In this paper, we assume such a vehicular cloud is in place to provide video streaming to users, and that the operator can decide which content to store in the vehicle caches. Users can then greedily fill their playout buffer with video pieces of the streamed content from encountered vehicles, and turn to the infrastructure immediately when the playout buffer is empty, to ensure uninterrupted streaming. Our main contribution is to model the playout buffer in the user device with a queuing approach, and to provide a mathematical formulation for the idle periods of this buffer, which relate to the bytes downloaded from the cellular infrastructure. We also solve the resulting content allocation problem, and perform trace-based simulations to finally show that up to 50% of the original traffic could be offloaded from the main infrastructure.

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“…Compare this with the 802.11p prototype presented in [32], which was adopted for direct device-to-device communication between smartphones. That innovative prototype was able to adaptively increase transmission power to extend communication range.…”

Section: Novel Cr Filtering Architecturementioning

confidence: 99%

Spectrally efficient emission mask shaping for OFDM cognitive radios

Pham

Fahmy

McLoughlin

2016

Digital Signal Processing

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Orthogonal Frequency Division Multiplexing has been widely adopted in recent years due to its inherent spectral efficiency and robustness to impulsive noise and fading. For cognitive radio applications in particular, it can enable flexible and agile spectrum allocation, yet suffers from spectral leakage in the form of large side lobes, leading to inter-channel interference, unless mitigated carefully. Hence, recent OFDM-based standards such as 802.11p for vehicular communication and 802.11af for TV whitespace impose strict spectrum emission mask limits to combat adjacent channel interference. Stricter masks allow channels to operate closer together, improving spectral efficiency at the cost of implementation difficulty. Meeting the strict limits is a significant challenge for implementing both 802.11p and 802.11af, yet remains an important requirement for enabling cost-effective systems. This paper proposes a novel method that embeds baseband filtering within a cognitive radio architecture to meet the specification for the most stringent 802.11p and 802.11af masks, while allowing ten 802.11af sub-carriers to occupy a single basic channel without violating SEM specifications. The proposed method, performed at baseband, relaxes otherwise strict RF filter requirements, allowing the RF subsystem to be implemented using much less stringent 802.11a designs, allowing cost reductions.

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A case for leveraging 802.11p for direct phone-to-phone communications

Cited by 16 publications

References 11 publications

Next Road Rerouting: A Multiagent System for Mitigating Unexpected Urban Traffic Congestion

Next Road Rerouting: A Multiagent System for Mitigating Unexpected Urban Traffic Congestion

Streaming content from a vehicular cloud

Spectrally efficient emission mask shaping for OFDM cognitive radios

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