On the Throughput Capacity Study for Aloha Mobile Ad Hoc Networks

• Published in: IEEE transactions on communications Vol. 64; no. 4; pp. 1646 - 1659
• Main Authors: Yin Chen, Yulong Shen, Jinxiao Zhu, Xiaohong Jiang, Tokuda, Hideyuki
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.04.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Ad hoc networks; Aloha; Asymptotic properties; Exact solutions; Interference; Mathematical analysis; Mathematical models; Maximization; Mobile Ad Hoc Networks; Mobile communication systems; Mobile computing; Protocols; Queuing Theory; Receivers; Stochastic Geometry; Throughput; Throughput Capacity; Transmitters; Wireless networks; Throughput Capacity; Stochastic Geometry; Aloha; Queuing Theory; Mobile Ad Hoc Networks
• ISSN: 0090-6778; 1558-0857
• DOI: 10.1109/TCOMM.2016.2527658

Despite extensive efforts on exploring the asymptotic capacity bounds for mobile ad hoc networks (MANETs), the general exact capacity study of such networks remains a challenge. As one step to go further in this direction, this paper considers two classes of Aloha MANETs (A-MANETs) N A and N C that adopt an aggressive traffic-independent Aloha and the conventional traffic-dependent Aloha, respectively. We first define a notation of successful transmission probability (STP) in N A , and apply queuing theory analysis to derive a general formula for the capacity evaluation of N A . We also prove that N C actually leads to the same throughput capacity as N A , indicating that the throughput capacity of N C can be evaluated based on the STP of NA as well. With the help of the capacity formula and stochastic geometry analysis on STP, we then derive closed-form expressions for the throughput capacity of an infinite A-MANET under the nearest neighbor/receiver transmission policies. Our further analysis reveals that although it is highly cumbersome to determine the exact throughput capacity expression for a finite A-MANET, it is possible to have an efficient and closed-form approximation to its throughput capacity. Finally, we explore the capacity maximization and provide extensive simulation/numerical results.