Optimal DoF Region of the Two-User MISO-BC with General Alternating CSIT

In the setting of the time-selective two-user multiple-input single-output (MISO) broadcast channel (BC), recent work by Tandon et al. considered the case where - in the presence of error-free delayed channel state information at the transmitter (delayed CSIT) - the current CSIT for the channel of user 1 and of user 2, alternate between the two extreme states of perfect current CSIT and of no current CSIT. Motivated by the problem of having limited-capacity feedback links which may not allow for perfect CSIT, as well as by the need to utilize any available partial CSIT, we here deviate from this `all-or-nothing' approach and proceed - again in the presence of error-free delayed CSIT - to consider the general setting where current CSIT now alternates between any two qualities. Specifically for $I_1$ and $I_2$ denoting the high-SNR asymptotic rates-of-decay of the mean-square error of the CSIT estimates for the channel of user~1 and of user~2 respectively, we consider the case where $I_1,I_2 \in\{\gamma,\alpha\}$ for any two positive current-CSIT quality exponents $\gamma,\alpha$. In a fast-fading setting where we consider communication over any number of coherence periods, and where each CSIT state $I_1I_2$ is present for a fraction $\lambda_{I_1I_2}$ of this total duration, we focus on the symmetric case of $\lambda_{\alpha\gamma}=\lambda_{\gamma\alpha}$, and derive the optimal degrees-of-freedom (DoF) region. The result, which is supported by novel communication protocols, naturally incorporates the aforementioned `Perfect current' vs. `No current' setting by limiting $I_1,I_2\in\{0,1\}$. Finally, motivated by recent interest in frequency correlated channels with unmatched CSIT, we also analyze the setting where there is no delayed CSIT

On the Fundamental Feedback-vs-Performance Tradeoff over the MISO-BC with Imperfect and Delayed CSIT

This work considers the multiuser multiple-input single-output (MISO) broadcast channel (BC), where a transmitter with M antennas transmits information to K single-antenna users, and where - as expected - the quality and timeliness of channel state information at the transmitter (CSIT) is imperfect. Motivated by the fundamental question of how much feedback is necessary to achieve a certain performance, this work seeks to establish bounds on the tradeoff between degrees-of-freedom (DoF) performance and CSIT feedback quality. Specifically, this work provides a novel DoF region outer bound for the general K-user MISO BC with partial current CSIT, which naturally bridges the gap between the case of having no current CSIT (only delayed CSIT, or no CSIT) and the case with full CSIT. The work then characterizes the minimum CSIT feedback that is necessary for any point of the sum DoF, which is optimal for the case with M >= K, and the case with M=2, K=3.Comment: An initial version of this paper has been reported as Research Report No. RR-12-275 at EURECOM, December 7, 2012. This paper was submitted in part to the ISIT 201

Space-Time Encoded MISO Broadcast Channel with Outdated CSIT: An Error Rate and Diversity Performance Analysis

Studies of the MISO Broadcast Channel (BC) with delayed Channel State Information at the Transmitter (CSIT) have so far focused on the sum-rate and Degrees-of-Freedom (DoF) region analysis. In this paper, we investigate for the first time the error rate performance at finite SNR and the diversity-multiplexing tradeoff (DMT) at infinite SNR of a space-time encoded transmission over a two-user MISO BC with delayed CSIT. We consider the so-called MAT protocol obtained by Maddah-Ali and Tse, which was shown to provide 33% DoF enhancement over TDMA. While the asymptotic DMT analysis shows that MAT is always preferable to TDMA, the Pairwise Error Probability analysis at finite SNR shows that MAT is in fact not always a better alternative to TDMA. Benefits can be obtained over TDMA only at very high rate or once concatenated with a full-rate full-diversity space-time code. The analysis is also extended to spatially correlated channels and the influence of transmit correlation matrices and user pairing strategies on the performance are discussed. Relying on statistical CSIT, signal constellations are further optimized to improve the error rate performance of MAT and make it insensitive to user orthogonality. Finally, other transmission strategies relying on delayed CSIT are discussed

MISO Broadcast Channel with Delayed and Evolving CSIT

The work considers the two-user MISO broadcast channel with gradual and delayed accumulation of channel state information at the transmitter (CSIT), and addresses the question of how much feedback is necessary, and when, in order to achieve a certain degrees-of-freedom (DoF) performance. Motivated by limited-capacity feedback links that may not immediately convey perfect CSIT, and focusing on the block fading scenario, we consider a progressively increasing CSIT quality as time progresses across the coherence period (T channel uses - evolving current CSIT), or at any time after (delayed CSIT). Specifically, for any set of feedback quality exponents a_t, t=1,...,T, describing the high-SNR rates-of-decay of the mean square error of the current CSIT estimates at time t<=T (during the coherence period), the work describes the optimal DOF region in several different evolving CSIT settings, including the setting with perfect delayed CSIT, the asymmetric setting where the quality of feedback differs from user to user, as well as considers the DoF region in the presence of a imperfect delayed CSIT corresponding to having a limited number of overall feedback bits. These results are supported by novel multi-phase precoding schemes that utilize gradually improving CSIT. The approach here naturally incorporates different settings such as the perfect-delayed CSIT setting of Maddah-Ali and Tse, the imperfect current CSIT setting of Yang et al. and of Gou and Jafar, the asymmetric setting of Maleki et al., as well as the not-so-delayed CSIT setting of Lee and Heath.Comment: Submitted to Transactions on Information Theory - November 2012 18 double column page