Binary Power Allocation for Uplink Distributed Cognitive Radio Network

Nakhale, Dharati Mahadeorao (2017) Binary Power Allocation for Uplink Distributed Cognitive Radio Network. Masters thesis, Indian Institute of Technology Hyderabad.

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Abstract

Cognitive radio (CR) improves spectrum efficiency by allowing unlicensed (secondary) user to access the spectrum of the licensed (primary) user. Motivated by the need of efficient spectrum utilization, the objective is to realize spectrum sharing by optimally allocating the transmit powers to the SUs to maximize the total SU throughput under the short term (minimum and peak) power constraints and an outage probability constraint which preserves the Quality of Service (QoS) requirement of the primary system. For this, we consider, a CR network (CRN) that consist of a single PU and multiple SUs during an uplink transmission of primary base station. Here, SU transmits simultaneously with the PU in the same frequency band while maintaining interference to the PU within an acceptable range. In some of the previous works, power is allocated to each SU by an iterative approach based on Signal to Interference Ratio (SIR). Low and high thresholds of SIR were employed by the SUs to decide whether to transmit with maximum power or to remain silent. In this thesis work, we perform optimal power allocation using Karush-Kuhn-Tucker (KKT) conditions. Furthermore, we also derive an optimal threshold that decides the SU’s transmission policy and that optimal threshold is used to derive a low complexity algorithm which requires less number of floating point operations. The proposed algorithm is verified by simulations.

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