Fundamental Capacity Limits and Optimal Joint Transmission Strategies for Heterogeneous Networks
Abstract
Short Work StatementThe proposed research is divided into four tasks:Task 1 - Capacity, Degrees of Freedom, and Joint Coding for Heterogeneous Networks, Downlink: Determine the capacity region (exact region and/or bounds) as well as degrees of freedom, such as optimal coding and more general transmission strategies, for the downlink in heterogeneous wireless networks.Task 2 - Capacity, Degrees of Freedom, and Joint Coding for Heterogeneous Networks, Uplink: We will determine the capacity region (exact region and/or bounds) as well as degrees of freedom, such as optimal coding and more general transmission strategies, for the uplink in heterogeneous wireless networks. While similar to Task 1, the uplink and downlink solutions could potentially be different.Task 3 - Energy Efficiency in Heterogeneous Networks: Determine the transmission and reception strategies to minimize energy consumption in both the uplink and downlink of heterogeneous wireless networks.Task 4 - Robustness in Heterogeneous Networks: Determine the transmission and reception strategies to optimized both the uplink and downlink of heterogeneous wireless networks to reduce probability of error, probability of outage, delay, etc.ApproachThe proposed approach is to first build upon earlier results as well as work in virtual MIMO systems to determine the optimal DoF and capacity region for the downlink of heterogeneous networks. Next, the proposed research we will consider the uplink, where a mobile terminal has access to multiple networks. This is a major challenge in networks today, with optimal strategies and associated performance limits unknown. This work will take advantage of recent research on channel duality between the uplink and downlink applied to the downlink capacity and degrees of freedom results obtained as part of our proposed research. The last two areas of the proposed work will investigate how best to leverage heterogeneous networks to improve energy efficiency and robustness.ObjectiveThe objective of the proposed research is to develop a completely new theory around the fundamental capacity limits, degrees of freedom, and associated optimal transmission strategies of heterogeneous networks. The sub-network models we plan to explore as part of the larger heterogeneous network will include canonical models representative of systems in the field, including point-to-point and point-to-multipoint radios, broadcast networks, multiple-access networks, infrastructure-based cellular architectures, point-to-multipoint networks including WiFi, satellite, and drone systems as well as peer-to-peer networks. While an achievable rate for any set of such networks consists of the sum of rates on each individual system, our preliminary work shows that jointly coding across heterogeneous networks can lead to significantly higher rates. In other words, when it comes to heterogeneous network capacity, the total capacity can significantly exceed the sum of the parts. Exactly what benefits in terms of capacity, energy-efficiency, and robustness can be obtained via optimized heterogenous network design is the topic of the proposed research.Overall Merit and ONR Mission/RelevanceToday~s wireless networks are heterogeneous, consisting of multiple radios, network architectures and backbones with different capabilities, protocol stacks, and spectrum allocations. Such heterogeneous networks can offer several advantages over access via a single network, such as flexible resource allocation, better coverage, better robustness, better energy efficiency, and higher capacity. The proposed research will improve Navy communications by allowing these systems to exploit multiple networks simultaneously to increase capacity, energy efficiency, and robustness.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 25, 2017
- Source ID
- N000141512527
Entities
People
- Andrea Goldsmith
Organizations
- Office of Naval Research
- Stanford University
- United States Navy