Improved Capacity Scaling in Wireless Networks With Infrastructure

被引:39
|
作者
Shin, Won-Yong [1 ,2 ]
Jeon, Sang-Woon [1 ]
Devroye, Natasha [3 ]
Vu, Mai H. [2 ]
Chung, Sae-Young [1 ]
Lee, Yong H. [1 ]
Tarokh, Vahid [2 ]
机构
[1] Korea Adv Inst Sci & Technol, Dept EE, Taejon 305701, South Korea
[2] Harvard Univ, Sch Engn & Appl Sci, Cambridge, MA 02138 USA
[3] Univ Illinois, Dept Elect & Comp Engn, Chicago, IL 60607 USA
基金
美国国家科学基金会;
关键词
Base station (BS); cut-set upper bound; hierarchical cooperation (HC); infrastructure; multiantenna; multihop (MH); single-hop; throughput scaling; TRANSPORT CAPACITY; UPPER-BOUNDS; THROUGHPUT; CHANNEL; LAWS;
D O I
10.1109/TIT.2011.2158881
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper analyzes the impact and benefits of infrastructure support in improving the throughput scaling in networks of randomly located wireless nodes. The infrastructure uses multiantenna base stations (BSs), in which the number of BSs and the number of antennas at each BS can scale at arbitrary rates relative to. Under the model, capacity scaling laws are analyzed for both dense and extended networks. Two BS-based routing schemes are first introduced in this study: an infrastructure-supported single-hop (ISH) routing protocol with multiple-access uplink and broadcast downlink and an infrastructure-supported multihop (IMH) routing protocol. Then, their achievable throughput scalings are analyzed. These schemes are compared against two conventional schemes without BSs: the multihop (MH) transmission and hierarchical cooperation (HC) schemes. It is shown that a linear throughput scaling is achieved in dense networks, as in the case without help of BSs. In contrast, the proposed BS-based routing schemes can, under realistic network conditions, improve the throughput scaling significantly in extended networks. The gain comes from the following advantages of these BS-based protocols. First, more nodes can transmit simultaneously in the proposed scheme than in the MH scheme if the number of BSs and the number of antennas are large enough. Second, by improving the long-distance signal-to-noise ratio (SNR), the received signal power can be larger than that of the HC, enabling a better throughput scaling under extended networks. Furthermore, by deriving the corresponding information-theoretic cut-set upper bounds, it is shown under extended networks that a combination of four schemes IMH, ISH, MH, and HC is order-optimal in all operating regimes.
引用
收藏
页码:5088 / 5102
页数:15
相关论文
共 50 条
  • [1] On Capacity Scaling in Arbitrary Wireless Networks
    Niesen, Urs
    Gupta, Piyush
    Shah, Devavrat
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2009, 55 (09) : 3959 - 3982
  • [2] Capacity Scaling of Infrastructure-Supported Erasure Networks
    Shin, Won-Yong
    Kim, Ajung
    IEEE COMMUNICATIONS LETTERS, 2011, 15 (05) : 485 - 487
  • [3] On Capacity and Delay of Multichannel Wireless Networks With Infrastructure Support
    Dai, Hong-Ning
    Wong, Raymond Chi-Wing
    Wang, Hao
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2017, 66 (02) : 1589 - 1604
  • [4] Throughput Scaling of Wireless Networks With Random Connections
    Cui, Shengshan
    Haimovich, Alexander M.
    Somekh, Oren
    Poor, H. Vincent
    Shamai , Shlomo
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2010, 57 (08) : 3793 - 3806
  • [5] Towards Achieving Linear Capacity Scaling in Wireless Networks through Directed Energy Links
    Huang, Hong
    Jaradat, Yousef
    Misra, Satyajayant
    Tourani, Reza
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2014, 13 (04) : 1806 - 1814
  • [6] Improved capacity bounds for wireless networks
    Agarwal, A
    Kumar, PR
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2004, 4 (03) : 251 - 261
  • [7] Capacity of ad hoc wireless networks with infrastructure support
    Zemlianov, A
    de Veciana, G
    IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2005, 23 (03) : 657 - 667
  • [8] Secrecy Capacity Scaling in Large Cooperative Wireless Networks
    Mirmohseni, Mahtab
    Papadimitratos, Panagiotis
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2017, 63 (03) : 1923 - 1939
  • [9] Cost of Path Loss and Local Cooperation in Capacity Scaling of Extended Wireless Networks
    Du, Jinfeng
    Medard, Muriel
    Shamai , Shlomo
    2018 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), 2018, : 786 - 790
  • [10] Linear Capacity Scaling in Wireless Networks: Beyond Physical Limits?
    Ozgur, Ayfer
    Leveque, Olivier
    Tse, David
    2010 INFORMATION THEORY AND APPLICATIONS WORKSHOP (ITA), 2010, : 259 - 268