On Downlink Transmission Without Transmit Channel State Information and With Outage Constraints

Zhang, Wenyi; Kotagiri, Shivaprasad; Laneman, J. Nicholas

doi:10.1109/tit.2009.2025547

Cited by 22 publications

(15 citation statements)

References 20 publications

(28 reference statements)

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“…where ζ n = {ζ 1,n , · · · , ζ K,n } and P Indiv k,n becomes a function of ζ n ; (19b) is based on (2) and (15). Note that, according to (14), the optimal power allocation scheme can be found once the optimal values of {ζ k,n } are obtained.…”

Section: A Problem Formulationmentioning

confidence: 99%

On the Outage Performance of Non-Orthogonal Multiple Access With 1-bit Feedback

Yuan

Ding

et al. 2016

IEEE Trans. Wireless Commun.

111

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In this paper, the outage performance of downlink non-orthogonal multiple access (NOMA) is investigated for the case where each user feeds back only one bit of its channel state information (CSI) to the base station. Conventionally, opportunistic one-bit feedback has been used in fading broadcast channels to select only one user for transmission. In contrast, the considered NOMA scheme adopts superposition coding to serve all users simultaneously in order to improve user fairness. A closed-form expression for the common outage probability (COP) is derived, along with the optimal diversity gains under two types of power constraints. Particularly, it is demonstrated that the diversity gain under a long-term power constraint is twice as large as that under a short-term power constraint. Furthermore, we study dynamic power allocation optimization for minimizing the COP, based on one-bit CSI feedback.This problem is challenging since the objective function is non-convex; however, under the short-term power constraint, we demonstrate that the original problem can be transformed into a set of convex problems. Under the long-term power constraint, an asymptotically optimal solution is obtained for high signal-to-noise ratio. Index TermsNon-orthogonal multiple access, downlink transmission, common outage probability, one-bit feedback, power allocation.

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Section: A Problem Formulationmentioning

confidence: 99%

On the Outage Performance of Non-Orthogonal Multiple Access With 1-bit Feedback

Yuan

Ding

et al. 2016

IEEE Trans. Wireless Commun.

111

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“…An outage achievable rate is recently examined for a special case of these scenarios assuming N t = 1 and each receiver with multiple antennas N r in [5].…”

Section: Design Of Inflation Factor Matrixmentioning

confidence: 99%

Achievable Rate Region Characterization of the MIMO Broadcast Channel with Channel Distribution Information

Wu¹,

Jin²,

Gao³

et al. 2011

2011 IEEE International Conference on Communications (ICC)

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We investigate the multiple-input multiple-output broadcast channel with channel distribution information available at the transmitter. The so-called fading-paper model is considered with N t transmit antennas, and each user having N r receive antennas. Near-optimal designs are proposed for the inflation factor matrix under general fading conditions, based on maximizing the approximation of linear assignment capacity. It is proved that for N t ≤ Nr, this matrix has a similar structure and achieves a similar interference elimination effect as dirty-paper coding. Also, low complexity iterative algorithms are proposed for N t > Nr case, which yield a good choice for the inflation factor matrix numerically. Based on the obtained inflation factor matrix, we provide efficient approaches to evaluate the linear assignment achievable rate region for some popular statistical channel models.

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“…For the concept of ergodic capacity, user rates can be adapted according to the instantaneous channel state information (CSI); while the concept of outage is more appropriate for applications with stringent delay constraints as a predefined rate is assumed for each transmission. In [24], the performance of outage capacity was analyzed without CSIT. However, these works for conventional BCs have not taken into account the issue of user fairness, which is different from NOMA with fairness constraints.…”

Section: Introductionmentioning

confidence: 99%

Optimal Power Allocation Scheme for Non-Orthogonal Multiple Access With $\alpha $ -Fairness

Cumanan

2017

IEEE J. Select. Areas Commun.

111

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This paper investigates the optimal power allocation scheme for sum throughput maximization of non-orthogonal multiple access (NOMA) system with α-fairness. In contrast to the existing fairness NOMA models, α-fairness can only utilize a single scalar to achieve different user fairness levels. Two different channel state information at the transmitter (CSIT) assumptions are considered, namely, statistical and perfect CSIT. For statistical CSIT, fixed target data rates are predefined, and the power allocation problem is solved for sum throughput maximization with α-fairness, through characterizing several properties of the optimal power allocation solution. For perfect CSIT, the optimal power allocation is determined to maximize the instantaneous sum rate with α-fairness, where user rates are adapted according to the instantaneous channel state information (CSI). In particular, a simple alternate optimization (AO) algorithm is proposed, which is demonstrated to yield the optimal solution. Numerical results reveal that, at the same fairness level, NOMA significantly outperforms the conventional orthogonal multiple access (MA) for both the scenarios with statistical and perfect CSIT.Index Terms-Non-orthogonal multiple access, α-fairness, outage probability, ergodic rate, power allocation.

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On Downlink Transmission Without Transmit Channel State Information and With Outage Constraints

Cited by 22 publications

References 20 publications

On the Outage Performance of Non-Orthogonal Multiple Access With 1-bit Feedback

On the Outage Performance of Non-Orthogonal Multiple Access With 1-bit Feedback

Achievable Rate Region Characterization of the MIMO Broadcast Channel with Channel Distribution Information

Optimal Power Allocation Scheme for Non-Orthogonal Multiple Access With $\alpha $ -Fairness

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