Gaussian Half-Duplex Relay Networks: improved constant gap and connections with the assignment problem
Martina Cardone, Daniela Tuninetti, Raymond Knopp, Umer Salim

TL;DR
This paper improves the understanding of Gaussian half-duplex relay networks by providing tighter capacity bounds, connecting the problem to the assignment problem in graph theory, and analyzing optimal relay scheduling.
Contribution
It introduces a reduced gap to capacity using noisy network coding, links the degrees-of-freedom to linear programs, and characterizes optimal relay schedules for general networks.
Findings
Achieves capacity within 2.021(N+2) bits for N-relay networks.
Shows the degrees-of-freedom problem reduces to a linear program.
Most relay states have zero probability, with at most N+1 active states for N relays.
Abstract
This paper considers a general Gaussian relay network where a source transmits a message to a destination with the help of N half-duplex relays. It proves that the information theoretic cut-set upper bound to the capacity can be achieved to within 2:021(N +2) bits with noisy network coding, thereby reducing the previously known gap. Further improved gap results are presented for more structured networks like diamond networks. It is then shown that the generalized Degrees-of-Freedom of a general Gaussian half-duplex relay network is the solution of a linear program, where the coefficients of the linear inequality constraints are proved to be the solution of several linear programs, known in graph theory as the assignment problem, for which efficient numerical algorithms exist. The optimal schedule, that is, the optimal value of the 2^N possible transmit-receive configurations/states for…
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Taxonomy
TopicsCooperative Communication and Network Coding · Wireless Communication Security Techniques · Advanced MIMO Systems Optimization
