On Residual Energy Maximization in Cognitive Relay Networks With Eavesdropping

Throughput maximisation in cognitive radio networks with residual bandwidth

“…The system performance is reported here using the typical numerical values of the parameters given in Table 4. [4, 7, 16, 18, 19].…”

“…The present optimisation problem is solved through the Karush–Kuhn–Tucker method. At the point of optimality, there will be some binding constraints (inequality) and slacks [7]. It is clearly observed that the sensing duration constraint depends on and .…”

“…In other words, predominantly future wireless networks must support massive connectivity, throughput maximisation as well as maintaining certain minimum data rate assurance, low latency, bandwidth preservation for emergency support etc. The opportunistic access of the PU spectrum by SUs for maximising the overall CRN throughput and at the same time maintaining individual link reliability (fairness) are the key issues of CR applications and is explored in this work [7].…”

“…A good number of works on wireless energy harvesting (EH)‐based CR frameworks that focus on secondary networks' throughput maximisation are reported in [4, 6, 7, 14]. Shahini and Ansari [6] formulated a joint optimisation problem on resource and time allocation as mixed integer non‐linear programming to maximise the sum rate of SUs.…”

Multi‐radio channel rendezvous in cognitive radio networks

“…In addition, Banerjee et al [41] studied an energy harvesting (EH) based two‐hop relay assisted CR system with minimising secrecy outage probability under some constraints. Banerjee and Maity [42] studied a residual energy maximisation problem on a two‐hop decode‐and‐forward relay‐assisted CRN with an eavesdropper. Banerjee et al [43] studied the maximisation problem of the sum secondary throughput in a cooperative CRN with an eavesdropper as well as EH capability.…”