Optimal throughput-delay scaling in wireless networks - Part II: Constant-size packets

被引:63
作者
El Gamal, Abbas [1 ]
Mammen, James
Prabhakar, Balaji
Shah, Devavrat
机构
[1] Stanford Univ, Dept Elect Engn, Stanford, CA 94305 USA
[2] Stanford Univ, Dept Elect Engn & Comp Sci, Stanford, CA 94305 USA
[3] MIT, Dept Elect Engn & Comp Sci, Cambridge, MA 02139 USA
[4] MIT, ESD, Cambridge, MA 02139 USA
关键词
product form equilibrium; queuing theory; scaling laws; scheduling; throughput scaling; throughput-delay tradeoff; wireless networks;
D O I
10.1109/TIT.2006.883548
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In Part I of this paper, the optimal throughput-delay tradeoff for static wireless networks was shown to be D(n) = Theta(nT(n)), where D(n) and T(n) are the average packet delay and throughput in a network of n nodes, respectively. While this tradeoff captures the essential network dynamics, packets need to scale down with the network size. In this "fluid model, " no buffers are required. Due to this packet scaling, D(n) does not correspond to the average delay per bit. This leads to the question whether the tradeoff remains the same when the packet size is kept constant, which necessitates packet scheduling in the network. In this correspondence, this question is answered in the affirmative by showing that the optimal througbput-delay tradeoff is still D(n) = Theta(nT(n)), where now D(n) is the average delay per bit. Packets of constant size necessitate the use of buffers in the network, which in turn requires scheduling packet transmissions in a discrete-time queuing network and analyzing the corresponding delay. Our method consists of deriving packet schedules in the discrete-time network by devising a ding continuous-time network and then analyzing the delay induce;0in the actual discrete network using results from queuing theory 'Orr" m fo or continuous-time networks.
引用
收藏
页码:5111 / 5116
页数:6
相关论文
共 9 条
[1]  
[Anonymous], 1979, Reversibility and Stochastic Networks
[2]   Optimal throughput-delay scaling in wireless networks - Part I: The fluid model [J].
El Gamal, Abbas ;
Mammen, James ;
Prabhakar, Balaji ;
Shah, Devavrat .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2006, 52 (06) :2568-2592
[3]  
ELGAMAL A, 2004, P IEEE INFOCOM HONG
[4]  
Grossglauser M, 2001, IEEE INFOCOM SER, P1360, DOI 10.1109/INFCOM.2001.916631
[5]   The capacity of wireless networks [J].
Gupta, P ;
Kumar, PR .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2000, 46 (02) :388-404
[6]   A deterministic approach to throughput scaling in wireless networks [J].
Kulkarni, SR ;
Viswanath, P .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2004, 50 (06) :1041-1049
[7]  
Motwani Rajeev, 1995, RANDOMIZED ALGORITHM
[8]   Capacity and delay tradeoffs for Ad hoc mobile networks [J].
Neely, MJ ;
Modiano, E .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2005, 51 (06) :1917-1937
[9]  
WOLFF RW, 1988, STOCHASTIC MODELING