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The third Generation Partnership Project (3GPP) Long-Term Evolution (LTE) is becoming the first truly global wireless communication standard. LTE system is expected to have an ability to sense the wireless environment. To evaluate the performance of cognitive LTE network, the design of system level simulation platform is proposed. This platform realizes relevant spectrum sensing algorithm and dynamic...
With the development of LTE-A technology, spectrum aggregation, relay and other technologies have been applied to the next generation of wireless communication network. However, current research is mostly focus on only one kind of technology, when these technologies coming together, a lot of prerequisites often have been destroyed, and it becomes difficult to achieve. In this paper, we take spectrum...
Carrier Aggregation (CA) is one of the promising techniques to support the wider bandwidth and fulfil the higher data rate requirement in LTE-Advanced system. Combined with Cognitive Radio (CR), the packet scheduler is more intelligent to assign the radio resources dynamically. To the best of our knowledge, Carrier Scheduling (CS) scheme in the cognitive LTE-A system with CA has not thoroughly been...
In this paper, we focus on an energy efficient resource allocation in the multi-secondary user (SU) cognitive radio networks with network coding based cooperative transmission (NcCT). We set up a framework for multi-SU resource allocation game with Nash bargaining solution (NBS) under the cognitive radio scenario (CR-MSU-NBS game) where the sum of pairwise NBS function with pairing strategy is exploited...
Cooperative spectrum sensing can improve sensing capability of the system. But in a system which owns channels of different protection levels, it will bring bad effects to detection performance when using a single sensing algorithm and data fusing rule in different channels of this system. Therefore this paper proposes a cooperative sensing algorithm, which is based on policy database to select different...
Cooperative spectrum sensing has been proposed to help raise the sensitivity requirement under the fading propagation in Cognitive Radio Network. In this paper, we introduce a new explanation that the best probability of detection or false alarm can be achieved from only parts of the cooperative secondary users under different scenarios. Specifically, we analyze from the new perspective of spatially-correlated...
In cognitive radio technology, detecting accurately primary users can improve the efficiency of cognitive radio (CR) network and reduce interference with primary users. This paper proposes a communication method of avoiding interference with hidden terminal in CR network. It determines the location and coverage of primary transmitter through the ranging, and then avoids effectively interference with...
Fusion decision plays an important part in the cooperation sensing of cognitive radio. In this paper, a fusion decision algorithm based on channel estimation (FD_CE) is proposed in the architecture of central cooperative sensing in cognitive radio. Instead of the traditional hard decision methods such as AND, OR, Most, we consult to a soft decision algorithm which combines all the detected information...
In this paper we present a MAC protocol for distributed cognitive networks. Secondly users decide which data channel to sense according to current channel usage condition and the possible data transmission opportunities of all the data channels, and then access if the data channel is sensed idle, as a way to improve their data throughput by flexibly adjusting the sensing sequence. In addition, the...
In this paper, focusing on the spectrum sharing and competition, we propose a double auction based spectrum trading (DAST) scheme which resolves the spectrum access between the primary network (PN) and secondary networks (SNs) subtly. Two different utility functions for primary users (PUs) and secondary users (SUs) are designed basing on a supply-and-demand relationship between them. Also, we adopt...
Roaming across heterogeneous wireless networks such as wireless wide area network (WWAN) and wireless local area network (WLAN) poses considerable challenges, as it is usually difficult to maintain the existing connections and guarantee the necessary end-to-end quality-of-service (QoS). This paper proposes a novel end-to-end QoS guaranteed seamless handover scheme, which can maintain the connections...
This paper presents a novel Q-learning based auction (QL-BA) algorithm for dynamic spectrum access in a one primary user multiple secondary users (OPMS) scenario. In the auction market, the secondary user provides a bidding price dynamically and intelligently using a Q-learning based bidding strategy to compete for current access opportunity; meanwhile primary user decides to whom to release the unused...
Ad hoc network is one sort of multi-hop, self-organization and dynamically changing network. The Ad hoc On-Demand Distance Vector (AODV) protocol is an on-demand protocol specialized for mobile ad hoc network. Future network should have cognitive characters and the collection of elements that make up the network observes network conditions and then, using prior knowledge gained from previous interactions...
Traffic models play an important role in nowadays' network, such as engineering, designing and evaluating the network and its performance. But performance predictions from wireless networking laboratory experiments seem to dismatch what is really deployed in future cognitive heterogeneous networks. To generate an appropriate traffic model is one of the major factors hampering researchers' ability...
The cognitive network, which is based on the theory of cognitive radio, is undergoing rapid growth. But the research on QoS provisioning for cognitive heterogeneous networks is scarce. In this paper, an end-to-end QoS provisioning model is proposed withthe cognitive process. QoS mapping of different cognitive QoS domains in SLSs and the related resource provisioning signaling are also expounded. The...
Cognitive wireless networks are potential and competitive candidates for future self-configuring, self-optimizing and self-healing heterogeneous networks. This paper presents an architecture for future cognitive heterogeneous networks by introducing intelligent nodes. We further elaborate on the fundamental and implementation challenges which need to be solved to make cognitive heterogeneous networks...
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