Fair Resource Allocation in Cooperative Cognitive Radio Iot Networks

Abstract

Due to the growing demand for spectral resources with the emergence of IoT networks and applications, cooperative cognitive radio IoT networks (CCR-IoTN) are expected to play an essential role in the world of smart technology. In this paradigm, the benefits of cooperative communication and cognitive radio networks (CRN) are merged to meet IoT networks' needs. In this work, we employ the hybrid overlayunderlay CRN to guarantee both the secondary user (SU) stability and provide acceptable total throughput. In our CCR-IoTN, SUs may act as a relay to help the primary transmission. If the primary user (PU) is active, the secondary non-relay nodes transmit concurrently with the PU in underlay mode. In return for their cooperation, SUs are allowed to access the spectrum to transmit their data in overlay mode. In this context, we propose several fair resource allocation frameworks and compare well-known problems such as spectrum efficiency, energy efficiency as an objective function for CCR-IoTN. This kind of problem is inherently nonconvex. To solve the problems, therefore, we reformulate them as a convex problem using quadratic transform. Finally, we use simulation to evaluate the performance of the proposed hybrid resource allocation method. The resource allocation framework based on proportional fairness policy is shown to have acceptable performance in terms of throughput, fairness, and energy efficiency.

Optimizing fairness in cellular networks with mobile drone relays

“…In [4], the authors study proportional and max-min fairness mechanisms in cognitive radio networks, where secondary users act as relays, aiming to provide an acceptable throughput. However, different from us, their analysis is restricted to IoT scenarios and needs the use of non-convex problems, which prevents finding optimal results in reasonable time.…”

Throughput maximization with channel access fairness model using game theory approach

“…The optimization problem is addressed using non-accurate spectrum sensing and non-accurate channel state information (CSI) under shared channel large-scale cognitive radio IoTs environments. They employed hybrid model using both overlay and underly CR network for assuring ideal through with reliability for secondary users [25]. In modern large-scale CR-WSNs, the SUs will assist (i.e., as relay nodes) PUs for communicating packets using underlay mode; in return the PUs allows the SUs to access its spectrum for communicating its data using overlay mode.…”

Time-Efficient Sub-Optimal Solutions for Dynamic Spectrum Allocation in CRN With User Fairness

“…In order to improve the throughput of the secondary network, a hybrid overlay-underlay mode was proposed in [28][29][30]. In this mode, secondary users are allowed to access the spectrum both when the PU is absent, and when the PU is present, with power constraints in the latter case.…”

“…An alternating direction optimization algorithm is proposed to solve the optimization problem. In [30], a general resource allocation problem for a secondary network utility function was proposed. Since the proposed optimization problem was non-convex, the problem was reformulated as a convex problem using the quadratic transform.…”