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Author:

Lu, Hao (Lu, Hao.) | Wang, Yichen (Wang, Yichen.) | Chen, Yan (Chen, Yan.) | Liu, K. J. Ray (Liu, K. J. Ray.)

Indexed by:

CPCI-S Scopus EI

Abstract:

Device-to-device (D2D) communications can enhance the overall system capacity by reusing cellular spectrum, which at the same time leads to severe interference to cellular connections and vice versa. In practice, even when two wireless connections share the same spectrum, the interference between them may not always exist if there is no conflict at packet-level transmissions. Thus, in this paper, we establish a cross-layer model for D2D communications underlaying cellular network to characterize the realistic interference scenario. The closed-form stable throughput region between one D2D pair and one cellular link is deduced. Subsequently, our model is extended to a generalized scenario where multiple D2D pairs share the same resources with one cellular link, in which the upper bound of the stable throughput region is derived. As a consequence, the stable throughput regions are significantly enlarged via the proposed model.

Keyword:

Author Community:

  • [ 1 ] [Lu, Hao; Wang, Yichen; Chen, Yan; Liu, K. J. Ray] Univ Maryland, Dept Elect & Comp Engn, College Pk, MD 20742 USA
  • [ 2 ] [Lu, Hao] Univ Sci & Technol China, Dept Elect Engn & Informat Sci, Hefei 230027, Anhui, Peoples R China
  • [ 3 ] [Wang, Yichen] Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Dept Informat & Commun Engn, Xian 710049, Shaanxi, Peoples R China
  • [ 4 ] [Lu, Hao]Univ Maryland, Dept Elect & Comp Engn, College Pk, MD 20742 USA
  • [ 5 ] [Wang, Yichen]Univ Maryland, Dept Elect & Comp Engn, College Pk, MD 20742 USA
  • [ 6 ] [Chen, Yan]Univ Maryland, Dept Elect & Comp Engn, College Pk, MD 20742 USA
  • [ 7 ] [Liu, K. J. Ray]Univ Maryland, Dept Elect & Comp Engn, College Pk, MD 20742 USA
  • [ 8 ] [Lu, Hao]Univ Sci & Technol China, Dept Elect Engn & Informat Sci, Hefei 230027, Anhui, Peoples R China
  • [ 9 ] [Wang, Yichen]Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Dept Informat & Commun Engn, Xian 710049, Shaanxi, Peoples R China

Reprint Author's Address:

  • Univ Maryland, Dept Elect & Comp Engn, College Pk, MD 20742 USA.

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Source :

2015 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP)

ISSN: 9781479975914

Year: 2015

Page: 1086-1090

Language: English

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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