This paper considers the cognitive interference channel (CIC) with two transmitters and two receivers, in which the cognitive transmitter non-causally knows the message and codeword of the primary transmitter. We first introduce a discrete memoryless more capable CIC, which is an extension to the more capable broadcast channel (BC). Using superposition coding, we propose an inner bound and an o...

This thesis examines interference modeling and management in small cell cognitive radio networks. A generalized unified statistical model is presented for the interference from a heterogeneous next generation network at a target receiver located at the centre of a cell. The derived model is then applied in devising a simple distributed power allocation algorithm for the next generation network ...

We study the interference channel with a signal cognitive relay. A signal cognitive relay knows the transmit signals (but not the messages) of the sources non-causally, and tries to help them communicating with their respective destinations. We derive upper bounds and provide achievable schemes for this channel. These upper and lower bounds are shown to be tight from generalized degrees of free...

in this paper, we examine target detection in the surveillance channels of fm-based passive bistatic radars (fbpbrs) in the presence of interference signals in the reference channels of these systems. to do so, we propose a new signal conditioning algorithm to remove interference signals form reference channel. simulation results show that the proposed signal conditioning algorithm outperform t...

Co-channel interference is a major factor in limiting the capacity and link quality in cellular communications. As the co-channel interference is modeled by lognormal distribution, sum of the co-channel interferences of neighboring cells is represented by the sum of lognormal Random Variables (RVs) which has no closed-form expression. Assuming independent, identically distributed (iid) RVs, the...

Channel Bonding (CB) is a technique used to provide larger bandwidth to users. It has been applied to various networks such as wireless local area networks (WLANs), Wireless Sensor Networks (WSNs), Cognitive Radio Networks (CRNs), and Cognitive Radio Sensor Networks (CRSNs). The implementation of CB in CRSNs needs special attention as Primary Radio (PR) nodes traffic must be protected from any ...

nowadays we know effective supply chain management a key to business success. therefore, supply chain managers use many practices for scm effectiveness and many tools as their enablers. nevertheless, literature about causal relations between sc enablers and scm practices and performance is scarce. this study reports a cognitive mapping of causal relationships between scm practices, sc enablers ...

this paper concerns the transmission of two independent gaussian sources over a two-user decentralized interference channel, assuming that the transmitters are unaware of the instantaneous csis. the availability of the channel state information at receivers (csir) is considered in two scenarios of perfect and imperfect csir. in the imperfect csir case, we consider a more practical assumption of...

—Interference alignment in cognitive networks is an efficient way to achieve the cognitive system throughput gain without degrading the throughout of the primary system. In this paper a novel interference management strategy is presented to use interference alignment in cognitive heterogeneous networks flexibly. Characteristics of interference distribution in twotiered networks are considered ...