Bio-Inspired Decentralized Radio Access Based on Swarming Mechanisms Over Adaptive Networks

被引:66
作者
Di Lorenzo, Paolo [1 ]
Barbarossa, Sergio [1 ]
Sayed, Ali H. [2 ]
机构
[1] Univ Roma La Sapienza, DIET, I-00184 Rome, Italy
[2] Univ Calif Los Angeles, Dept Elect Engn, Los Angeles, CA 90095 USA
基金
美国国家科学基金会;
关键词
Diffusion adaptation; distributed resource allocation; distributed spectrum estimation; self-organization; swarming; OPPORTUNISTIC SPECTRUM ACCESS; LEAST-MEAN SQUARES; COGNITIVE RADIO; COOPERATION; FORMULATION; STRATEGIES; CONSENSUS;
D O I
10.1109/TSP.2013.2258342
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];
摘要
The goal of this paper is to study the learning abilities of adaptive networks in the context of cognitive radio networks and to investigate how well they assist in allocating power and communications resources in the frequency domain. The allocation mechanism is based on a social foraging swarm model that lets every node allocate its resources (power/bits) in the frequency regions where the interference is at a minimum while avoiding collisions with other nodes. We employ adaptive diffusion techniques to estimate the interference profile in a cooperative manner and to guide the motion of the swarm individuals in the resource domain. A mean square performance analysis of the proposed strategy is provided and confirmed by simulation results. The proposed approach endows the cognitive network with powerful learning and adaptation capabilities, allowing fast reaction to dynamic changes in the spectrum. Numerical examples show how cooperative spectrum sensing remarkably improves the performance of the resource allocation technique based on swarming.
引用
收藏
页码:3183 / 3197
页数:15
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