Decentralized Cognitive MAC for Opportunistic Spectrum Access in Ad Hoc Networks: A POMDP Framework

Abstract

We propose decentralized cognitive MAC protocols that allow secondary users to independently search for spectrum opportunities without a central coordinator or a dedicated communication channel. Recognizing hardware and energy constraints, we assume that a secondary user may not be able to perform full-spectrum sensing or may not be willing to monitor the spectrum when it has no data to transmit. We develop an analytical framework for opportunistic spectrum access based on the theory of Partially Observable Markov Decision Process (POMDP). This decision-theoretic approach integrates the design of spectrum access protocols at the MAC layer with spectrum sensing at the physical layer and traffic statistics determined by the application layer of the primary network. It also allows easy incorporation of spectrum sensing error and constraint on the probability of colliding with the primary users. Under this POMDP framework, we propose cognitive MAC protocols that optimize the performance of secondary users while limiting the interference perceived by primary users. A suboptimal strategy with reduced complexity yet comparable performance is developed. Without additional control message exchange between the secondary transmitter and receiver, the proposed decentralized protocols ensure synchronous hopping in the spectrum between the transmitter and the receiver in the presence of collisions and spectrum sensing errors.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2007
Accession Number
ADA575800

Entities

People

  • Ananthram Swami
  • Lang Tong
  • Qing Zhao
  • Yunxia Chen

Organizations

  • University of California

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Ad Hoc Networks
  • Algorithms
  • Collisions
  • Communication Channels
  • Communication Networks
  • Detection
  • Detectors
  • False Alarms
  • Markov Processes
  • Mesh Networks
  • Networks
  • Probability
  • Sensor Networks
  • Statistics
  • Transmitters
  • Warning Systems
  • Wireless Networks

Fields of Study

  • Computer science

Readers

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