Spatial Throughput Characterization in Cognitive Radio Networks with Threshold-Based Opportunistic Spectrum Access

Abstract

This paper studies the opportunistic spectrum access (OSA) of the secondary users in a large-scale overlay cognitive radio (CR) network. Two threshold-based OSA schemes, namely the primary receiver assisted (PRA) protocol and the primary transmitter assisted (PTA) protocol, are investigated. Under the PRA/PTA protocol, a secondary transmitter (ST) is allowed to access the spectrum only when the maximum signal power of the received beacons/pilots sent from the active primary receivers/transmitters (PRs/PTs) is lower than a certain threshold. To measure the resulting transmission opportunity for the secondary users by the proposed OSA protocols, the concept of spatial opportunity, which is defined as the probability that an arbitrary location in the primary network is detected as a spatial spectrum hole, is introduced and then evaluated by applying tools from stochastic geometry. Based on spatial opportunity, the coverage (non-outage transmission) performance in the overlay CR network is analyzed.With the obtained results of spatial opportunity and coverage probability, we finally characterize the spatial throughput, which is defined as the average spatial density of successful transmissions in the primary/secondary network, under the PRA and PTA protocols, respectively.

Spatial Diversity Impact in Mobile Quantisation Mapping for Cognitive Radio Networks

“…In [8] has proposed spatial opportunity and coverage probability. Moreover, the average spatial density has successfully transmitted in the primary/secondary network, under the PRA and PTA protocols, respectively.…”

“…In [7] proposed the cooperative spectrum sensing using single orthogonal subcarrier that combat bandwidth limitation on reporting channel by quantized the detection power level into a tone signal of OFDM. Moreover, [8] proposed the cooperative networking without common control channel, this method aimed to reduce complexity function using M orthogonal sub-channel that equally divided from the licensed band.…”

Spectrum Opportunity Detection in Cellular Networks

“…The circle centred at SURx of radius I R represents the interference range of PU which is dependent on PU transmission power and SURx interference tolerance. While, the small circle centred at SUTx of radius I r represents the interference range of SU which depends on SUTx transmission power and the interference constraint which defines the maximum power allowed for SU transmission such that it would be operating below the interference range of the BS [20]. Here SUT represent secondary user's transmitting node.…”

“…Umbrella diagram algorithm is usually used to determine the spatial regions due to its greater capability to deal with the spatial regions [17]. Computational geometry is used for the design and analysis of an efficient algorithm for geometric related problems [18][19][20]. The umbrella diagram algorithm is capable of computing highly accurate regions around secondary user's node by partitioning the primary network.…”

Information Exchange in Randomly Deployed Dense WSNs With Wireless Energy Harvesting Capabilities

“…The probability of successful exchange derived in Section III for all scenarios is a throughput metric for the link under examination. In order to have a complete picture of the network performance, we employ the metric of spatial throughput [27, 5.3.1], [34], which provides an average of the throughput over all the links in the network. Hence, the spatial throughput (messages/s/unit-area) of the network is defined as S sc = (λ 1 + λ 2 )p sc g sc t s (messages/s/unit-area), (29) where sc = {DC, CC}, p sc and g sc denote the successful exchange probability and the number of slots per scenario, respectively.…”