On Interference Management for Wireless Networks

Author:

Zeng, Huacheng [claim]

Description:

Interference is a fundamental problem in wireless networks. An effective solution to this problem usually calls for a cross-layer approach. Although there exist a large volume of works on interference management techniques in the literature, most of them are limited to signal processing at the physical (PHY) layer or information-theoretic exploitation. Studies of advanced interference techniques from a cross-layer optimization perspective remain limited, especially involving multi-hop wireless networks. This dissertation aims at filling this gap by offering a comprehensive investigation of three interference techniques: interference cancellation (IC), interference alignment (IA), and interference neutralization (IN). This dissertation consists of three parts: the first part studies IC in distributed multi-hop multiple-input multiple-output (MIMO) networks; the second part studies IA in multi-hop networks, cellular networks, and underwater acoustic (UWA) networks; and the third part focuses on IN in multi-hop single-antenna networks. While each part makes a step towards advancing an interference technique, they collectively constitute a body of work on interference management in the networking research community. Results in this dissertation not only advance network-level understanding of the three interference management techniques, but also offer insights and guidance on how these techniques may be incorporated in upper-layer protocol design. In the first part, we study IC in multi-hop MIMO networks where resource allocation is achieved through neighboring node coordination and local information exchange. Based on a well-established degree-of-freedom (DoF) MIMO model, we develop a distributed DoF scheduling algorithm with the objective of maximizing network-level throughput while guaranteeing solution feasibility at the PHY layer. The proposed algorithm accomplishes a number of beneficial features, including polynomial-time complexity, amenability to local implementation, a guarantee of feasibility at the PHY ...

Publisher:

Virginia Tech

Contributors:

Electrical and Computer Engineering ; Hou, Yiwei Thomas ; Sherali, Hanif D. ; Reed, Jeffrey H. ; Buehrer, R. Michael ; Lou, Wenjing ; Shi, Yi

Year of Publication:

2015-02-23

Document Type:

Dissertation ; [Doctoral and postdoctoral thesis]

Subjects:

Wireless networks ; interference cancellation ; interference alignment ; interference neutralization ; modeling and optimization ; algorithm design

DDC:

004 Data processing & computer science (computed) ; 620 Engineering & allied operations (computed)