A fair cognitive Channel Allocation method for cellular networks

Sunav Choudhary, Shaunak Mishra, Nachiket Desai, N. Swathi Priya, D. Chudasama, R. V. Rajakumar
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引用次数: 6

Abstract

Rapid growth in the consumer base for mobile services against the backdrop of limited spectrum demands intelligent networks for optimum utilization of the allocated spectrum with minimal changes in the existing infrastructure. This paper introduces a novel three stage predictive channel allocation scheme called Intelligent Channel Allocation (ICA) based on long term call statistics, instantaneous call statistics and event driven decisions supported by cognitive radio techniques for an opportunistic but fair usage of spectrum. The scheme realizes a trade-off between enhanced spectrum utilization in moderate call traffic conditions and fast response to emergency situations modeled by a step input in call attempts. Experimental simulations show that the proposed scheme is superior to the existing schemes in emergency situations while providing a comparable performance with the existing hybrid channel allocation schemes at moderate call traffic levels making it very relevant for unforeseen situations.
一种面向蜂窝网络的公平认知信道分配方法
在频谱有限的背景下,移动服务的消费者群体迅速增长,这就要求智能网络在对现有基础设施进行最小改变的情况下,最大限度地利用已分配的频谱。本文介绍了一种新的三阶段预测信道分配方案,即智能信道分配(ICA),该方案基于长期呼叫统计、瞬时呼叫统计和认知无线电技术支持的事件驱动决策,以实现机会主义和公平的频谱使用。该方案实现了在中等呼叫流量条件下增强频谱利用率和在呼叫尝试中通过步进输入建模对紧急情况的快速响应之间的权衡。实验仿真表明,该方案在紧急情况下优于现有的混合信道分配方案,同时在中等呼叫流量水平下与现有的混合信道分配方案具有相当的性能,使其非常适用于不可预见的情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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