MAC protocol adaptation in cognitive radio networks

Abstract

This thesis presents an adaptive MAC (AMAC) protocol for supporting MAC layer adaptation in cognitive radio networks. MAC protocol adaptation is motivated by the flexibility of emerging software-defined radios which make it feasible to dynamically adjust radio protocols and parameters in order to maintain communications quality.Dynamic changes to the MAC layer may be useful in tactical or vehicular networking scenarios, where radio node density, traffic volumes and service requirements can vary widely over time. A specific control framework for the proposed AMAC algorithm is described based on the "CogNet" protocol stack which uses a Global Control Plane (GCP) to distribute control information between nearby radios. An AMAC prototype which switches between CSMA and TDMA is evaluated for various traffic scenarios using the NS-2 simulator. In addition, a proof-of-concept AMAC is implemented using GNUradio/USRP platforms on the ORBIT radio grid testbed. Detailed simulation and experimental results are given for both UDP and TCP traffic with different usage scenarios and application models. The results show that AMAC can provide improved performance relative to a conventional static system and can be implemented with reasonable control protocol overhead and latency.

Analysis of Efficient Cognitive Radio MAC Protocol for Ad Hoc Networks

“…In [2], the author has proposed adaptive MAC Layer Protocol (AMAC) for supporting MAC layer adaptation in CR Networks. The control information is distributed between nearby radios using Global Control Plane (GCP) based on the "Cognet" protocol.…”