Measurement Based Capacity Scavenging via Whitespace Modeling in Wireless Networks

Opportunistic channel access scheme for cognitive radio system based on residual white space distribution

“…We plan to compare our approach proposed in this paper with an alternative approach reported in literature (such as [8]), which uses channel idle time distribution and performs continuous sensing to opportunistically use the white spaces. We also plan to extend the proposed scheme to multi SN and multi channel scenario, and to study the impact of the proposed MAC scheme on PU performance at the application level.…”

“…A proactive spectrum access approach based on a three-tier predictive statistical model of spectrum availability is proposed in [7]. In [8], the authors have used PDF and CDF of a whitespace trace (idle periods), obtained using simulation of a linear array of five primary WLAN nodes, to compute the sensing duration and the number of frames that an SN should transmit on sensing a channel idle, subject to a PU interference bound. The paper computes, both analytically and using simulations, the Effective Secondary Throughput, and Primary User Interference, but it assumes that the start of idle period is known.…”

Residual white space distribution-based opportunistic channel access for cognitive radio enabled devices

“…Current schemes, such as [1], which use channel idle time distribution for opportunistic access, assume that either the start of idle period (white space) is known to the Secondary Node (SN), or the secondary network transmission is slotted and the SN senses the channel at the beginning of each slot. Keeping track of start of each idle period requires the SN to continuously sense the channel, which is not suitable for energy-constrained secondary devices.…”

A comprehensive methodology for opportunistic spectrum access based on residual white space distribution

“…In [9], the authors have used empirical PDF and CDF of a whitespace trace (idle period) (obtained using whitespace measurements in simulation) to compute the sensing duration and the number of frames that an SU should transmit on sensing a channel idle, subject to a maximum PU interference probability bound. The paper computes, both analytically and using simulations, the Effective Secondary Throughput, and Primary User Interference.…”

“…In [13] also, the SU determines the optimal transmission duration on finding a channel idle subject to maximum interference probability threshold. Both [9] and [13] use the channel idle time distribution in their MAC protocol design and assume that the start of each idle period is known. The authors in [5] approximated a Semi-Markov model for WLAN channels with continuous-time Markov chain.…”