Achieving the optimal DoF with feedback and mixed CSIT for the 3×2 X-channel

Kakar, Jaber; Awan, Zohaib Hassan; Sezgin, Aydin

doi:10.1109/iswcs.2016.7600888

Cited by 1 publication

(3 citation statements)

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“…In this regard, delayed CSI may according to Section 4.2.2 be of either perfect or imperfect quality. A mixed CSIT model with perfect or imperfect delayed CSIT is for instance applied among others in [13,31,32], respectively.…”

Section: Mixed Csitmentioning

confidence: 99%

“…The scheme on the MISO broadcast channel for mixed CSIT has been among others extended to distributed networks including the (MIMO) Z-channel [59], two-user MIMO interference channel [60,61], and X-channel [31,32].…”

Section: Figurementioning

confidence: 99%

“…The transmission strategy of the other phases are similar to = 1 with differences in the power allocation of high power and low power information symbols. Further details on these phases are provided in [32]. For the sake of notational simplicity, we stack the transmission signals of all three transmitters to a three-dimensional vector x[t] ∈ C 3 .…”

Section: X-channel With Mixed Csit and Feedbackmentioning

confidence: 99%

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A Survey on Robust Interference Management in Wireless Networks

Kakar

Sezgin

2017

Entropy

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Recent advances in the characterization of fundamental limits on interference management in wireless networks and the discovery of new communication schemes on how to handle interference led to a better understanding towards the capacity of such networks. The benefits in terms of achievable rates of powerful schemes handling interference, such as interference alignment, are substantial. However, the main issue behind most of these results is the assumption of perfect channel state information at the transmitters (CSIT). In the absence of channel knowledge the performance of various interference networks collapses to what is achievable by time division multiple access (TDMA). Robustinterference management techniques are promising solutions to maintain high achievable rates at various levels of CSIT, ranging from delayed to imperfect CSIT. In this survey, we outline and study two main research perspectives of how to robustly handle interference for cases where CSIT is imprecise on examples for non-distributed and distributed networks, namely broadcast and X-channel. To quantify the performance of these schemes, we use the well-known (generalized) degrees of freedom (GDoF) metric as the pre-log factor of achievable rates. These perspectives maintain the capacity benefits at similar levels as for perfect channel knowledge. These two perspectives are: First, scheme-adaptation that explicitly accounts for the level of channel knowledge and, second, relay-aided infrastructure enlargement to decrease channel knowledge dependency. The relaxation on CSIT requirements through these perspectives will ultimately lead to practical realizations of robust interference management techniques. The survey concludes with a discussion of open problems.

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Section: Mixed Csitmentioning

confidence: 99%