Open AccessInterference mitigation and capacity enhancement of cognitive radio networks using modified greedy algorithm/channel assignment and power allocation techniques
Author(s) -
Ranjan Rajeev,
Agrawal Navneet,
Joshi Sunil
Publication year - 2020
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2018.5950
Subject(s) - interference (communication) , cognitive radio , computer science , greedy algorithm , co channel interference , channel (broadcasting) , adjacent channel interference , channel allocation schemes , computer network , radio resource management , adjacent channel , wireless network , wireless , telecommunications , algorithm , bandwidth (computing) , amplifier
Cognitive radio (CR) concept is turning out as a prominent approach used in the wireless communication network for increasing spectrum efficiency by opportunistically and mutually sharing the spectrum of contemporary networks. CR can bear high traffic loads during emergencies and major disasters by overcoming the limitations like lack of network capacity. The fundamental issues pertaining the implementation of CR network (CRN) are the presence of co‐channel interference and adjacent channel interference among CR users; and most importantly interference to primary users. Effective interference mitigation and management in CRN will make it more robust in easing the additional stress because of very high traffic loads during an intense emergency and disaster scenarios. In this study, an approach has been taken to minimise interference among secondary nodes by employing interference index as interference minimisation key which in turn maximises the system capacity. To validate the results, the authors thoroughly used an existing distributed greedy algorithm, which, on the introduction of interference index, furnished a gain of 60% in the CR network capacity. Further, a trade‐off analysis between the interference index and channel leakage ratio is presented with an interference bound of 10 dBm, which may form the basis of interference management in CRN.