Abstract
AbstractThis article investigates a multi‐hop cognitive radio network in terms of end‐to‐end bit delivery. The network exploits backscatter communication (BackCom) and harvest‐then‐transmit (HTT) mode in a hybrid manner. Such a network can be used in Internet of Things (IoT) applications in which IoT users coexist with a primary network and use the primary spectrum to transmit data in both BackCom and HTT modes. Besides, such users can harvest energy from the primary signals. A novel hybrid backscatter and conventional transmission (HBCT) algorithm is proposed in order to maximize end‐to‐end bit delivery by jointly optimizing time and power allocations. For this goal, we formulate a nonconvex optimization problem. Next, we transform the problem into a convex one and develop a new analytical formulation by which we calculate the optimal power and time allocation in closed‐form equations. The numerical results demonstrate the superiority of HBCT compared with current schemes.
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