On the Design and Management of Heterogeneous Networks: A Predictability-Based Perspective
2004 Award Winner
Randall Landry, The MITRE Corporation
Kevin Grace, The MITRE Corporation
Ali Saidi, The MITRE Corporation
While great strides have been made in the design and deployment of commercial networks over the past two decades, relatively little progress has been made toward the realization of large-scale tactical military networks. The primary reasons for this disparity include the fact that commercial telecommunication networks are predominantly wired, relatively stable infrastructures, whereas tactical networks consist largely of wireless mobile nodes with unique operating characteristics in hostile environments. Wireless networks must cope with dynamic link conditions, not present in wired infrastructures, which places a heavy burden on Quality of Service (QoS) management solutions. Managing QoS in the face of constantly changing operating conditions demands dynamic management approaches that span multiple layers in the protocol stack. Such Cross-Layer Design (CLD) approaches have recently received attention in the context of cellular and mobile ad-hoc networks. However, there still exists a wide range of opinions and definitions as to what exactly CLD entails, and there is no fundamental guidance concerning how to apply CLD techniques in various environments.
In this paper we introduce the notion of network predictability and describe its relationship to achievable QoS. This relationship is used to propose a framework for CLD that can be used to guide development efforts and direct investment decisions for future military networks. The framework also contains the notion of a cross-layer coherence length, which determines the protocol layers across which the highest degree of coupling, or correlation, should be present in order to realize the greatest possible gains in achievable QoS.
Copyright ©2004 IEEE. Reprinted from IEEE Communications Magazine, Vol. 42, No. 11, pp. 80–87. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of The MITRE Corporation's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to email@example.com. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
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