HC-MAC: A Hardware-Constrained Cognitive MAC for Efficient Spectrum Management

By Juncheng Jia, Qian Zhang, Xuemin Shen. IEEE Journal on Selected Areas in Communications, 2008

698 citations recorded by the source corpus.

Radio spectrum resource is of fundamental importance for wireless communication. Recent reports show that most available spectrum has been allocated. While some of the spectrum bands (e.g., unlicensed band, GSM band) have seen increasingly crowded usage, most of the other spectrum resources are underutilized. This drives the emergence of open spectrum and dynamic spectrum access concepts, which allow unlicensed users equipped with cognitive radios to opportunistically access the spectrum not used by primary users. Cognitive radio has many advanced features, such as agilely sensing the existence of primary users and utilizing multiple spectrum bands simultaneously. However, in practice such capabilities are constrained by hardware cost. In this paper, we discuss how to conduct efficient spectrum management in ad hoc cognitive radio networks while taking the hardware constraints (e.g., single radio, partial spectrum sensing and spectrum aggregation limit) into consideration. A hardware-constrained cognitive MAC, HC-MAC, is proposed to conduct efficient spectrum sensing and spectrum access decision. We identify the issue of optimal spectrum sensing decision for a single secondary transmission pair, and formulate it as an optimal stopping problem. A decentralized MAC protocol is then proposed for the ad hoc cognitive radio networks. Simulation results are presented to demonstrate the effectiveness of our proposed protocol.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/25a4cd168965a9611a97c773b1355bfdd77e9313

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

  1. Beibei Wang
  2. Ying-Chang Liang
  3. K. Liu
  4. Geoffrey Y. Li
  5. Kwang-Cheng Chen
  6. Petri Mähönen
  7. Elias Z. Tragos
  8. Alexandros G. Fragkiadakis

In Electrical and Electronic Engineering

  1. Ying-Chang Liang
  2. Geoffrey Y. Li
  3. Beibei Wang
  4. Kwang-Cheng Chen
  5. Petri Mähönen
  6. K. Liu
  7. Elias Z. Tragos
  8. Alexandros G. Fragkiadakis

Citations in the corpus