An efficient algorithm to optimize interference and system capacity for cognitive wireless networks

Interference mitigation and capacity enhancement of cognitive radio networks using modified greedy algorithm/channel assignment and power allocation techniques

“…After a rigorous review process, Xin et al in [8] portrayed a trailer on interference management in wireless communication systems by bringing together 11 papers presenting state-of-art research contributions and practical implementations covering a broad spectrum of research topics including resource allocation, interference channels, relay systems, base station cooperation and multiple-input multiple-output systems. The works in [10,11,14,21] show a coordination between channel assignment and power allocation incorporating interference mitigation in them.…”

“…The authors of [11,14] introduced the concept of the interference weight which impacts on the signal quality, network density and mobility. Xu et al in [22] mentioned about the fairness metric modelling as a function of the signal to interference plus noise ratio (SINR).…”

“…The interference amount between ith and jth secondary nodes, when both the nodes are supposed to access the same channel is denoted by the term interference index α(i, j) [11]. We calculate α(i, j) as the ratio of area of intersection of the interference circles of ith and jth secondary nodes to the entire area of the two interference circles (Fig.…”

“…Along with the constraints (10), (11) and 12, problem (9) maximises the capacity of CRN while bounding interference to PUs. This is an MINLP problem, which is NP-hard in general and cannot be solved exactly in polynomial time.…”

“…Then we consider the CRN topology where multiple secondary nodes are spatially distributed. To further minimise CCI and ACI of [10], we introduce the concept of interference index (interference minimisation technique of [11]). Our proposed interference mitigation technique helps improve the capacity of the CRN in terms of throughput by 60%.…”