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In this paper we present a low-complexity Artificial Bee Colony (ABC) based interference aware relay assignment scheme with power control for a cognitive radio network comprises of one source, multiple relays and multiple destination nodes. The Exhaustive Search Algorithm (ESA) returns the optimal solution to the problem; yet it has a high computational complexity that grows exponentially with the...
In this paper, we consider a two-way cognitive relay network comprising two sources and multiple relays. The relays use a simple Amplify-and-Forward relaying mechanism. For such networks, we formulate the max-min and sum capacity optimization problems. The formulated optimization problems are non-convex and nonlinear in nature. We obtain the optimal solution of the optimization problems by using a...
In this paper, we present an interference and channel conditions aware multiple relay assignment and subcarrier allocation scheme for OFDMA based cognitive radio systems employing cooperative transmission using Decode and Forward (DF) technique. We focus on the problem of assigning the relays, the relay powers and allocating the subcarriers to the destination nodes using the sum capacity of the cognitive...
In this paper, we consider the uplink communication in a network of cognitive radio nodes. The transmitting nodes and the receiver are equipped with multiple antennas and MIMO processing abilities. For this network, we study the problem of interference-aware joint secondary user (SU) selection/scheduling and power control (JSUS-QPC). The main objective of the JSUS-QPC is to maximize the sum-rate capacity...
In this work we consider an OFDMA-based two-way cognitive relay network that comprises multiple source-destination pairs and multiple relays. The relays assist communication between the source-destination pairs, and different relays transmit on orthogonal subcarriers. The relays employ amplify-and-forward relaying. For this network, we formulate a sum capacity maximization problem to determine the...
In this paper, we investigate interference-aware joint secondary user (SU) selection/scheduling and quantized power control (JSUS-QPC) schemes for the uplink communication in the cognitive MIMO system. The main objective of the JSUS-QPC is to maximize the sum-rate capacity of the cognitive MIMO uplink communication system under the constraint that the interference to the primary users (PU) is below...
In this paper, we present a binary particle swarm optimization (BPSO)-based low-complexity interference aware relay assignment scheme for multiple-user cognitive radio networks with discrete power control. We consider a network of cognitive radio nodes comprising single source, multiple relays and multiple destinations. For this system, we formulate an optimization problem to allocate power to source...
In this paper, we present a low-complexity power allocation scheme for non-regenerative (amplify and forward) relaying in cognitive radio systems. The main objective of the power allocation is to maximize the signal to noise ratio (SNR) at the destination under the constraint of acceptable interference to the primary users (PU). In this paper, we propose an iterative power allocation using SNR upper...
In this paper, we present two low-complexity interference aware multiple relay assignment schemes for cognitive radio systems. The main objective in assigning multiple relays is to maximize the sum capacity of the cognitive radio system under the constraint of acceptable interference to the primary users (PU). The computational complexity of finding an optimal assignment by exhaustive search grows...
In this paper, we present a low-complexity Interference Aware Multiple Relay Selection (IAMRS) scheme for cognitive radio system. The main objective in selecting multiple relays is to maximize the SNR at the destination under the constraint of acceptable interference to the primary users (PU). The computational complexity of finding an optimal IAMRS by exhaustive search grows exponentially with the...
This paper aims to demonstrate application of type-2 fuzzy logic systems (FLS) to predict a critical parameter of gas turbine in a power plant viz., the Turbine Inlet Temperature (TIT). Maintaining higher TIT than allowed severely affects the life of the components whereas operating at lower TIT may cause low efficiency and low load. Nonavailability of TIT, which cannot be measured directly, puts...
This paper presents a successful demonstration of application of type-2 fuzzy logic systems (FLS) to predict a critical parameter of Gas Turbine in a power plant viz., the compressor discharge pressure. The loss of Compressor Discharge Pressure (CDP) measurement leads to loss of few megawatts electricity generation. It is also demonstrated here by way of comparison, that a type-2 FLS is more robust...
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