Overlaid-pilot based channel state information feedback for multicell cooperative networks

Jiang, Qinyan; Wang, Hui; Yuan, Tianpeng; Tao, Xiaofeng; Cui, Qimei

doi:10.1109/pimrc.2015.7343299

Search citation statements

Order By: Relevance

Paper Sections

Select...

Open Research Challenges1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2018

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, fast changing channel conditions and the high-speed mobility of vehicles make it a challenging task to estimate channel state information in real-time. Researchers can use guidelines from work in similar domains, such as the one reported in [117], to design estimation algorithms for channel state information.…”

Section: Open Research Challengesmentioning

confidence: 99%

Cooperative Vehicular Networking: A Survey

Ahmed

Gharavi

2018

IEEE Trans. Intell. Transport. Syst.

223

View full text Add to dashboard Cite

With the remarkable progress of cooperative communication technology in recent years, its transformation to vehicular networking is gaining momentum. Such a transformation has brought a new research challenge in facing the realization of cooperative vehicular networking (CVN). This paper presents a comprehensive survey of recent advances in the field of CVN. We cover important aspects of CVN research, including physical, medium access control, and routing protocols, as well as link scheduling and security. We also classify these research efforts in a taxonomy of cooperative vehicular networks. A set of key requirements for realizing the vision of cooperative vehicular networks is then identified and discussed. We also discuss open research challenges in enabling CVN. Lastly, the paper concludes by highlighting key points of research and future directions in the domain of CVN.

show abstract

Section: Open Research Challengesmentioning

confidence: 99%