Adaptive rate transmission for spectrum sharing system with quantized channel state information

Abdallah, Mohamed; Salem, Ahmed; Alouini, Mohamed‐Slim; Qaraqe, Khalid

doi:10.1109/ciss.2011.5766156

Cited by 6 publications

(4 citation statements)

References 9 publications

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“…Cho đến nay, đã có một số nghiên cứu đề xuất áp dụng kỹ thuật truyền thích nghi cho mạng vô tuyến nhận thức, ví dụ [12][13][14][15][16][17][18][19][20]. Bài báo [12] khảo sát dung lượng của hệ thống thứ cấp với điều kiện xác suất dừng can nhiễu và với điều kiện xác suất dừng tỷ lệ tín hiệu trên nhiễu.…”

Section: Giới Thiệuunclassified

“…Trong bài báo [18][19][20], tác giả xem xét bài toán tối ưu hiệu suất phổ tần của hệ thống thứ cấp với giả sử rằng thông tin lượng tử của kênh truyền thứ cấp và kênh truyền can nhiễu là sẵn có. Sử dụng phương pháp lặp, bài báo chứng minh rằng hiệu suất tần tối ưu của hệ thống là gần bằng với hệ thống sử dụng thông tin kênh truyền đầy đủ.…”

Section: Giới Thiệuunclassified

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Đánh giá hiệu năng của hệ thống Vô tuyến nhận thức dạng nền với điều chế thích nghi

Chính¹,

Bảo²

2015

Công nghệ CNTT-TT

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In this paper, we study adaptive modulation for cognitive underlay networks taking into account the interference link from the secondary transmitter to the primary receiver. We have proposed the mathematical analysis framework to derive the system performance in terms of outage probability, spectral efficiency and average bit error rate over Rayleigh fading channels. Monte-Carlo simulations based on Matlab have been performed to verify the correctness of the analysis as well as to show the advantages of the proposed system.

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Section: Giới Thiệuunclassified

Đánh giá hiệu năng của hệ thống Vô tuyến nhận thức dạng nền với điều chế thích nghi

Chính¹,

Bảo²

2015

Công nghệ CNTT-TT

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“…A robust cognitive beamforming scheme was also analyzed in [11], where full CSI on the SU-Tx to SU-Rx channel was assumed, and the imperfect channel information on the SU-Tx to the PU-Rx was modeled using an uncertainty set. Related work also includes [13], where a stochastic resource allocation scheme for a multiuser CR network with a probabilistic primary interference constraint is considered with imperfect information on the primary activity, and [14], where separate channel quantization (SCQ) of secondary and primary links is considered to maximize secondary spectral efficiency over fading channels. Finally, [15] studies the issue of channel quantization for resource allocation through the framework of utility maximization in CR networks based on orthogonal frequency-division multiple access but does not investigate the joint channel partitioning and rate/power codebook design problem.…”

Section: Introductionmentioning

confidence: 99%

Throughput Maximization in Cognitive Radio Under Peak Interference Constraints With Limited Feedback

Dey

2012

IEEE Trans. Veh. Technol.

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A spectrum-sharing scenario in a cognitive radio (CR) network where a secondary user (SU) shares a narrowband channel with N primary users (PUs) is considered. We investigate the SU ergodic capacity maximization problem under an average transmit power constraint on the SU and N individual peak interference power constraints at each primary-user receiver (PU-Rx) with various forms of imperfect channel-state information (CSI) available at the secondary-user transmitter (SU-Tx). For easy exposition, we first look at the case when the SU-Tx can obtain perfect knowledge of the CSI from the SU-Tx to the secondary-user receiver link, which is denoted as g 1 , but can only access quantized CSI of the SU-Tx to PU-Rx links, which is denoted as g 0i , i = 1, . . . , N , through a limited-feedback link of B = log 2 L b. For this scenario, a locally optimum quantized power allocation (codebook) is obtained with quantized g 0i , i = 1, . . . , N information by using the Karush-Kuhn-Tucker (KKT) necessary optimality conditions to numerically solve the nonconvex SU capacity maximization problem. We derive asymptotic approximations for the SU ergodic capacity performance for the case when the number of feedback bits grows large (B → ∞) and/or there is a large number of PUs (N → ∞) that operate. For the interference-limited regime, where the average transmit power constraint is inactive, an alternative locally optimum scheme, called the quantized-rate allocation strategy, based on the quantized-ratio g 1 / max i g 0i information, is proposed. Subsequently, we relax the strong assumption of full-CSI knowledge of g 1 at the SU-Tx to imperfect g 1 knowledge that is also available at the SU-Tx. Depending on the way the SU-Tx obtains the g 1 information, the following two different suboptimal quantized power codebooks are derived for the SU ergodic capacity maximization problem: 1) the power codebook with noisy g 1 estimates and quantized g 0i , i = 1, . . . , N knowledge and 2) another power codebook with both quantized g 1 and g 0i , i = 1, . . . , N information. We emphasize the fact that, although the proposed algorithms result in locally optimum or strictly suboptimal solutions, numerical results demonstrate that they are extremely efficient. The efficacy of the proposed asymptotic approximations is also illustrated through numerical simulation results.

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“…channel quality information (CQI) of the secondary link and the cross interference link and to feed back the real time quantized CQI to the ST which can adapt its power allocation accordingly. In [11], the authors focus on the design of a rate adaptive transmission system where the quantized CQI of the secondary link and interference link are fed back from the secondary receiver (SR) and PR, respectively. However, [9]- [11] assume that PR sends the instantaneous CQI of the cross interference link to a cognitive coordinator or the ST. To ensure that the PU is oblivious to the secondary transmission, in [12], the SU does not need the cooperation from the PR, but overhears the quantized primary CQI and then accesses the channel with an adequate rate-power pair from the pre-designed secondary quantization codebook satisfying the primary rate loss constraint.…”

Section: Introductionmentioning

confidence: 99%

Spectrum sharing with primary and secondary limited feedback in Cognitive Radio Networks

Wang

Zhang

2012

2012 IEEE Global Communications Conference (GLOBECOM)

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In this paper, an underlay spectrum sharing scheme is proposed where both primary and secondary users are discrete power-rate adaptive systems with limited feedback from receivers. By receiving secondary and overhearing primary quantized channel quality information from the secondary receiver and primary receiver, respectively, the secondary transmitter adapts its resource allocation to the current channel quality by selecting a proper power-rate pair from the pre-designed secondary quantization codebook. The secondary quantization codebook is designed to maximize the secondary average achievable rate subject to the long term power constraint of the secondary transmitter and the rate loss constraint at the primary receiver. Numerical results show that, by introducing the secondary feedback, the secondary throughput is greatly improved. More secondary feedback bits result in better secondary performance.

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Adaptive rate transmission for spectrum sharing system with quantized channel state information

Cited by 6 publications

References 9 publications

Đánh giá hiệu năng của hệ thống Vô tuyến nhận thức dạng nền với điều chế thích nghi

Đánh giá hiệu năng của hệ thống Vô tuyến nhận thức dạng nền với điều chế thích nghi

Throughput Maximization in Cognitive Radio Under Peak Interference Constraints With Limited Feedback

Spectrum sharing with primary and secondary limited feedback in Cognitive Radio Networks

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