Abstract

MIMO links can significantly improve network throughput by supporting multiple concurrent data streams between a pair of nodes and suppressing wireless interference. In this paper, we study joint rate control, routing, and scheduling in MIMO-based multihop wireless networks, which are traditionally known as transport layer, network layer, and MAC layer issues, respectively. Our aim is to find a rate allocation along with a flow allocation and a transmission schedule for a set of end-to-end communication sessions so as to maximize the network throughput and also to achieve the proportional or weighted fairness among these sessions. To this end, we develop Transmission Mode Generating Algorithms (TMGAs), and Linear Programming- (LP-) and Convex Programming- (CP-) based optimization schemes for the MIMO networks. The performances of the proposed schemes are verified by simulation experiments, and the results show that the different schemes have different performance benefits when achieving a tradeoff between throughput and fairness.

Highlights

  • Recent advances in wireless communications and computing technologies enable a broad range of network applications

  • The results show that Transmission mode generating Algorithm 2 (TMGA2) can achieve nearly the same performance gains with only a few numbers of iterations and can be very time efficient, when compared with Transmission mode generating Algorithm 1 (TMGA1) that generates all transmission modes

  • Given a network G with Multiple-Input Multiple-Output (MIMO) links, the source and destination nodes of K end-to-end communication sessions, and the scheduling matrix Γ obtained previously, we aim to find a rate allocation r specifying the rate rk for each session k, along with a flow allocation vector fk specifying the amount of traffic fek of session k routed through link e, and a transmission schedule vector p specifying time fraction ptm for each transmission mode TM

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Summary

Introduction

Recent advances in wireless communications and computing technologies enable a broad range of network applications. Future multihop wireless networks such as wireless backhaul networks (WBNs) and wireless mesh networks (WMNs) are conducted to support various data and multimedia transmissions that are usually bandwidth-consumed In such networks, the Multiple-Input Multiple-Output (MIMO) antenna system, which can offer multiple Degree of Freedom (DOFs) for communications in a node while reducing interference and improving network throughput, is one of the technologies to this end, and attracts much attention of recent research on communication [1,2,3]. In [4], the authors devise a MIMO-based MAC protocol and develop analytical methods to characterize the corresponding saturation throughput and study the impact of MIMO MAC on routing As another example, the authors in [5] give their key optimization considerations such as spatial multiplexing for MAC layer design in ad hoc wireless networks

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