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.

中文翻译：

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使用改进的贪婪算法/信道分配和功率分配技术的认知无线电网络的干扰缓解和容量增强

认知无线电（CR）概念正在成为一种在无线通信网络中使用的突出方法，它通过机会性和相互共享当代网络的频谱来提高频谱效率。通过克服诸如网络容量不足之类的限制，CR可以在紧急情况和重大灾难期间承受高流量负载。有关CR网络（CRN）实施的基本问题是CR用户之间存在同频道干扰和相邻频道干扰；最重要的是对主要用户的干扰 CRN中有效的干扰缓解和管理功能将使其在缓解额外压力方面更加强大，因为在紧急情况和灾难严重时，流量负担非常大。在这个研究中，已经采取了一种通过将干扰指数用作干扰最小化密钥来最小化次级节点之间的干扰的方法，该干扰最小化密钥又使系统容量最大化。为了验证结果，作者彻底使用了现有的分布式贪心算法，该算法在引入干扰指数后，使CR网络容量增加了60％。此外，提出了干扰指数与信道泄漏率之间的权衡分析，其干扰界限为10 dBm，这可能构成CRN中干扰管理的基础。CR网络容量增加了60％。此外，提出了干扰指数与信道泄漏率之间的权衡分析，其干扰界限为10 dBm，这可能构成CRN中干扰管理的基础。CR网络容量增加了60％。此外，提出了干扰指数与信道泄漏率之间的权衡分析，其干扰界限为10 dBm，这可能构成CRN中干扰管理的基础。