Cross-Layer Design for Congestion, Contention, and Power Control in CRAHNs under Packet Collision Constraints

• Published in: IEEE transactions on wireless communications Vol. 12; no. 11; pp. 5557 - 5571
• Main Authors: Nguyen, Mui Van, Lee, Sungwon, You, Sung-jin, Hong, Choong Seon, Le, Long Bao
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01-11-2013; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Access methods and protocols, osi model; Ad hoc networks; Applied sciences; Asymptotic properties; Business and industry local networks; congestion control; CRAHNs; Cross-layer optimization; Exact sciences and technology; Interference; Media Access Protocol; medium access control; Networks and services in france and abroad; Optimization; Power control; Radiocommunication specific techniques; Radiocommunications; Receivers; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Teleprocessing networks. Isdn; Teletraffic; Access control; Performance evaluation; Wireless telecommunication; Teletraffic; congestion control; medium access control; CRAHNs; Optimization; Multihop network; Algorithm performance; Power control; Energetic efficiency; Traffic management; Cross-layer approach; Cross-layer optimization; Traffic control; Access protocol; Ad hoc network; Traffic congestion; Radio communication; Software radio
• ISSN: 1536-1276; 1558-2248
• DOI: 10.1109/TWC.2013.092313.121625

In this paper, we investigate the cross-layer design for congestion, contention, and power control in multi-hop cognitive radio ad-hoc networks (CRAHNs). In particular, we develop a unified optimization framework achieving flexible tradeoff between energy efficiency and network utility maximization where we design two novel cross-layer cognitive algorithms comprising efficient powered-controlled MAC protocols for CRAHNs based on the concepts of social welfare and net revenue in economics. The proposed framework can balance interference, collision, and congestion among cognitive users (CUs) including cognitive sources and cognitive links while utilizing stochastic spectrum holes vacated by licensed users (LUs). The former allows both cognitive sources and cognitive links to simultaneously adjust their transmission parameters (i.e., transmit power, persistence probability, and rate) following the law of diminishing returns whereas the latter forces cognitive links to control the persistence probability and transmit power in order to asymptotically balance the offered load regulated by cognitive sources. Our proposed protocols are then validated and their performance is compared with the existing MAC schemes in the literature via numerical studies.