NDLI: Using Genetic Algorithm with frequency hopping in device to device communication (D2DC) interference mitigation

Content Provider	IEEE Xplore Digital Library
Author	Yang-Han Lee Hsien-Wei Tseng Chih-Yuan Lo Yih-Guang Jan Le-Pong Chin Ting-Chen Song Heng-Iang Hsu
Copyright Year	2012
Description	Author affiliation: Dept. of Computer and Communication Engineering, De Lin Institute of Technology Tucheng District, New Taipei City 23654, Taiwan (Le-Pong Chin) \|\| V200, Information & Communications Research, Laboratories, Industrial Technology Research Institute, Rm. 234-1, Bldg. 11, No. 195, Sec. 4, Chung Hsing Rd., Chutung, Hsinchu, 31040, Taiwan, R.O.C. (Heng-Iang Hsu) \|\| Department of Electrical Engineering, Tamkang University, Tamsui District, New Taipei City 25137, Taiwan (Yang-Han Lee; Hsien-Wei Tseng; Ting-Chen Song) \|\| Alifecom Technology Corp., Jhubei City, Hsinchu County, Tai Yuen Street, 2nd Floor, No. 28, 2 (Yih-Guang Jan) \|\| Department of Information Technology and Management, Shih Chien University, New Taipei City 10462, Taiwan (Chih-Yuan Lo)
Abstract	Device-to-device communication (D2DC) is an important and challenge technique in the next generation of wireless communication that it can effectively reduce the load of base stations and simultaneously allows user equipment (UE) to proceed in direct communications. In D2DC, devices are very close among themselves and therefore the resulting interferences maybe quite serious, it becomes an important issue of how to properly select a UE owner so that when this UE owner searches for its associated communicating UEs in its service range they will suffer the least interference effect. In this paper, as UEs are distributed and clusters of UEs are formed in the D2D communication area; we propose to use K-Means to locating a UE around the cluster center as the UE Owner of the cluster. With this formation of UE clusters and UE owners they still have the chance to incur interferences among UE clusters due to they may be possibly use the same frequency band in their communications. Frequency hopping technique is then considered in this paper to further reduce the co-channel interference. In this paper it proposes to use Genetic Algorithm (GA) with frequency hopping technique to optimally select the number of frequency channels required in the system and then allocate these frequency channels to the UE clusters for their D2D communications. Simulations have been performed in a D2DC system with the proposed GA algorithm to reveal the effectiveness of the designed algorithm in the allocation of frequency channels to the clusters with minimum interference effect.
Starting Page	201
Ending Page	206
File Size	330813
Page Count	6
File Format	PDF
ISBN	9781467350839
e-ISBN	9781467350822
e-ISBN	9781467350815
DOI	10.1109/ISPACS.2012.6473480
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-04
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radio spectrum management Biological cells Genetic algorithms Interference Clustering algorithms Spread spectrum communication Interference Mitigation Device-to-device communication (D2DC) Genetic Algorithm(GA) Frequency hopping Frequency reuse K-Means
Content Type	Text
Resource Type	Article

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