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We study the energy-optimal subcarrier power allocation for OFDM-based cognitive radio (CR) networks. A CR transmitter communicates with CR receivers on a channel borrowed from licensed primary users (PUs) when PUs' transmission are detected absence on those channels. Due to non-orthogonality of the transmitted signals in the adjacent bands, both the PU and the secondary user (SU) cause mutual-interference...
The power allocation in decode and forward (DF) relaying for cooperative cognitive radio network (CCRN) with an objective of maximizing energy efficiency (EE) is a constraint nonlinear non-convex fractional programming problem (CNNFPP). The optimization needs to satisfy the primary users interference constraints and secondary users outage constraints. We proposed the optimal power allocation in DF...
In this paper, the problem of determining the power allocation that maximizes the energy-efficiency of cognitive radio network is investigated as a constrained fractional programming problem (CFPP). The fractional objective is defined in terms of bits per Joule per Hz. The proposed CFPP is a nonlinear non-convex optimization problem. We propose an iterative power algorithm (IPA) that guarantees ε-optimal...
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 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...
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