Transmission latency and reliability trade-off in path-time coded cognitive radio ad hoc networks

Yi Chi Chen, I. Wei Lai, Kwang Cheng Chen, Wen Tsuen Chen, Chia Han Lee

Research output: Contribution to journalConference articlepeer-review

4 Citations (Scopus)


Cognitive radio ad hoc network (CRAHN) is considered as a key technology to enhance the spectrum efficiency for diverse applications. However, due to the opportunistic links, the intrinsic randomness of the CRAHN makes the traditional precise control of the end-to-end transmission unscalable and generally infeasible. The recently-proposed virtual multiple-input multiple-output (MIMO) framework exploits the multipath routing to create the diversity at the network layer. With only local information and no feedback control channel, the path-time code (PTC) of the virtual MIMO system is able to efficiently provide the error resilient end-to-end transmission. In particular, while the transmission latency should be minimized, more attempts for accessing the opportunistic links can be made if a larger latency is allowed, which improves the error rate performance of the end-to-end transmission. By theoretically analyzing the error rate performance and erasure statistics, we propose a design guideline to determine the waiting period as the limit of the transmission latency. This designed waiting period not only preserves the diversity gained by the PTC but also provides a low transmission latency, resulting in a good balance of the reliability-latency trade-off of the end-to-end PTC transmission in CRAHNs.

Original languageEnglish
Article number7036953
Pages (from-to)1084-1089
Number of pages6
JournalProceedings - IEEE Global Communications Conference, GLOBECOM
Publication statusPublished - 2014
Externally publishedYes
Event2014 IEEE Global Communications Conference, GLOBECOM 2014 - Austin, United States
Duration: 2014 Dec 82014 Dec 12


  • Cognitive radio ad hoc networks (CRAHNs)
  • PEP analysis
  • erasure channel
  • path-time code (PTC)
  • space-time code (STC)
  • virtual multiple-input and multiple-output (MIMO)

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing


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