On the Degrees of Freedom of SISO X-networks with Synergistic Alternating Channel State Information at transmitters
Ahmed Wagdy Shaban, Amr El-Keyi, Tamer Khattab, Mohammed Nafie

TL;DR
This paper investigates the degrees of freedom in SISO X-networks with synergistic alternating channel state information, demonstrating that specific CSI distributions can achieve optimal or improved DoF bounds through innovative two-phase transmission schemes.
Contribution
It introduces a novel approach using synergistic alternating CSI with a specific distribution to achieve tight bounds on DoF, matching or surpassing previous feedback-based results.
Findings
Achieves a 4/3 DoF for two-user X-channel with equal CSI state fractions.
Establishes a lower bound of 2K/(K+1) DoF for K-user X-networks under the same CSI distribution.
Shows that synergistic alternating CSI with a specific distribution is equivalent to partial output feedback.
Abstract
In this paper, we consider the two-user single-input single-output (SISO) X-channel and -user SISO X-network in fast fading environment. It is assumed that the transmitters have access to synergistic alternating channel state information (CSI). Specifically, the CSIT alternates between three states, namely, perfect, delayed and no-CSIT, in a certain manner to enable these states to work together cooperatively. These states are associated with fractions of time denoted by , \text{and} , respectively. For the two-user -channel, simple upper bound is developed to prove the tightness of the achievability result of DoF under a certain distribution of the availability of three CSIT states for . For the -user -network, it is shown that the sum Degrees of freedom (DoF) is at least $2K/(K +…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced MIMO Systems Optimization · Cooperative Communication and Network Coding · Advanced Wireless Communication Technologies
