12 research outputs found

    Full-duplex mode in amplify-and-forward relay channels: outage probability and ergodic capacity

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    This paper investigates the outage probability and ergodic capacity performances for full-duplex mode in two-way amplify-andforward relay channels. The two-way relay channels which consist of two source nodes and a single relay node working in full-duplex mode, are assumed as independent and identically distributed as Rayleigh fading. The self-interference or loop interference of the relay is unavoidably investigated for full-duplex mode. And the close-form expressions for the outage probability and ergodic capacity of full-duplex mode are derived, considering both loop interference and the coefficients of two-way relay amplify-andforward channels. To further facilitate the performance of full-duplex mode, the half-duplex modes over different transmission time slots are analyzed. Simulation results point out the effect of loop interference on outage probability and ergodic capacity of twoway amplify-and-forward relay channels with full-duplex mode and show that full-duplex mode can achieve better performance in terms of capacity and even outperform half-duplex modes in the presence of loop interference

    On the performance of multiuser MIMO systems relying on full-duplex CSI acquisition

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    IEEE In this paper, we propose a combined full duplex (FD) and half duplex (HD) based transmission and channel acquisition model for open-loop multiuser multiple-input multipleoutput (MIMO) systems. Assuming residual self interference (SI) at the BS, the idea is to utilize the FD mode during the uplink (UL) training phase in order to achieve simultaneous downlink (DL) data transmission and UL CSI acquisition. More specifically, the BS begins serving a user when its CSI becomes available, while at the same time, it also receives UL pilots from the next scheduled user. We investigate both zero-forcing (ZF) and maximum ratio transmission (MRT) MIMO beamforming techniques for the DL data transmission in the FD mode. The BS switches to the HD mode once it receives the CSI of all users and it employs ZF beamforming for the DL data transmission until the end of the transmission frame. Furthermore, we derive closedform approximations for the lower bounded ergodic achievable rate relying on the proposed model. Our numerical results show that the proposed FD-HD transmission and channel acquisition approach outperforms its conventional HD counterpart and achieves higher data rates

    Outage Probability Analysis of Full-Duplex Amplify-and-Forward MIMO Relay Systems

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    abstract: Multiple-input multiple-output systems have gained focus in the last decade due to the benefits they provide in enhancing the quality of communications. On the other hand, full-duplex communication has attracted remarkable attention due to its ability to improve the spectral efficiency compared to the existing half-duplex systems. Using full-duplex communications on MIMO co-operative networks can provide us solutions that can completely outperform existing systems with simultaneous transmission and reception at high data rates. This thesis considers a full-duplex MIMO relay which amplifies and forwards the received signals, between a source and a destination that do not a have line of sight. Full-duplex mode raises the problem of self-interference. Though all the links in the system undergo frequency flat fading, the end-to-end effective channel is frequency selective. This is due to the imperfect cancellation of the self-interference at the relay and this residual self-interference acts as intersymbol interference at the destination which is treated by equalization. This also leads to complications in form of recursive equations to determine the input-output relationship of the system. This also leads to complications in the form of recursive equations to determine the input-output relationship of the system. To overcome this, a signal flow graph approach using Mason's gain formula is proposed, where the effective channel is analyzed with keen notice to every loop and path the signal traverses. This gives a clear understanding and awareness about the orders of the polynomials involved in the transfer function, from which desired conclusions can be drawn. But the complexity of Mason's gain formula increases with the number of antennas at relay which can be overcome by the proposed linear algebraic method. Input-output relationship derived using simple concepts of linear algebra can be generalized to any number of antennas and the computation complexity is comparatively very low. For a full-duplex amplify-and-forward MIMO relay system, assuming equalization at the destination, new mechanisms have been implemented at the relay that can compensate the effect of residual self-interference namely equal-gain transmission and antenna selection. Though equal-gain transmission does not perform better than the maximal ratio transmission, a trade-off can be made between performance and implementation complexity. Using the proposed antenna selection strategy, one pair of transmit-receive antennas at the relay is selected based on four selection criteria discussed. Outage probability analysis is performed for all the strategies presented and detailed comparison has been established. Considering minimum mean-squared error decision feedback equalizer at the destination, a bound on the outage probability has been obtained for the antenna selection case and is used for comparisons. A cross-over point is observed while comparing the outage probabilities of equal-gain transmission and antenna selection techniques, as the signal-to-noise ratio increases and from that point antenna selection outperforms equal-gain transmission and this is explained by the fact of reduced residual self-interference in antenna selection method.Dissertation/ThesisMasters Thesis Electrical Engineering 201

    Outage Probability of Multi-hop Networks with Amplify-and-Forward Full-duplex Relaying

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    abstract: Full-duplex communication has attracted significant attention as it promises to increase the spectral efficiency compared to half-duplex. Multi-hop full-duplex networks add new dimensions and capabilities to cooperative networks by facilitating simultaneous transmission and reception and improving data rates. When a relay in a multi-hop full-duplex system amplifies and forwards its received signals, due to the presence of self-interference, the input-output relationship is determined by recursive equations. This thesis introduces a signal flow graph approach to solve the problem of finding the input-output relationship of a multi-hop amplify-and-forward full-duplex relaying system using Mason's gain formula. Even when all links have flat fading channels, the residual self-interference component due to imperfect self-interference cancellation at the relays results in an end-to-end effective channel that is an all-pole frequency-selective channel. Also, by assuming the relay channels undergo frequency-selective fading, the outage probability analysis is performed and the performance is compared with the case when the relay channels undergo frequency-flat fading. The outage performance of this system is performed assuming that the destination employs an equalizer or a matched filter. For the case of a two-hop (single relay) full-duplex amplify-and-forward relaying system, the bounds on the outage probability are derived by assuming that the destination employs a matched filter or a minimum mean squared error decision feedback equalizer. For the case of a three-hop (two-relay) system with frequency-flat relay channels, the outage probability analysis is performed by considering the output SNR of different types of equalizers and matched filter at the destination. Also, the closed-form upper bounds on the output SNR are derived when the destination employs a minimum mean squared error decision feedback equalizer which is used in outage probability analysis. It is seen that for sufficiently high target rates, full-duplex relaying with equalizers is always better than half-duplex relaying in terms of achieving lower outage probability, despite the higher RSI. In contrast, since full-duplex relaying with MF is sensitive to RSI, it is outperformed by half-duplex relaying under strong RSI.Dissertation/ThesisMasters Thesis Electrical Engineering 201

    ์–‘๋ฐฉํ–ฅ ๋ฆด๋ ˆ์ด ์‹œ์Šคํ…œ์„ ์œ„ํ•œ ๋‹ค์ค‘ ํ™‰ ํ˜‘๋ ฅ ๋ฆด๋ ˆ์ด ํ†ต์‹  ๋ฐฉ์‹ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ „๊ธฐยท์ปดํ“จํ„ฐ๊ณตํ•™๋ถ€, 2012. 8. ๊น€์„ฑ์ฒ .๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๋ฉ€ํ‹ฐ ํ™‰ ๋ฆด๋ ˆ์ด์— ์ ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ์–‘๋ฐฉํ–ฅ ๋ฆด๋ ˆ์ด ์•Œ๊ณ ๋ฆฌ์ฆ˜์˜ ๊ฐœ๋ฐœ ๊ณผ์ •์„ ๋‹ค๋ฃจ๊ณ  ์žˆ๋‹ค. ๊ธฐ์ง€๊ตญ ๋งŒ์„ ์ด์šฉํ•˜๋Š” ๊ธฐ์กด์˜ ํ†ต์‹  ์‹œ์Šคํ…œ์˜ ๊ฒฝ์šฐ Line-of-Sight๋ฅผ ํ™•๋ณดํ•˜๊ธฐ ํž˜๋“ค๊ณ  ์ƒ๋Œ€์ ์œผ๋กœ ํ†ต์‹  ๊ฑฐ๋ฆฌ๊ฐ€ ๋ฉ€์–ด ์‹œ์Šคํ…œ์˜ ์ฑ„๋„ ์šฉ๋Ÿ‰์„ ํ™•๋ณดํ•˜๋Š” ๋ฐ์— ์–ด๋ ค์›€์ด ์žˆ๋‹ค. ๋˜ํ•œ, ๊ธฐ์ง€๊ตญ์„ ๋งŽ์ด ๊ฑด์„คํ•จ์œผ๋กœ์จ ํ†ต์‹  ์šฉ๋Ÿ‰์„ ์ฆ๋Œ€์‹œํ‚ค๊ณ  Line-of-Sight๋ฅผ ํ™•๋ณดํ•˜๋Š” ๋ฐฉ๋ฒ•์—๋Š” ๋น„์šฉ์ด ๋งŽ์ด ์†Œ์š”๋œ๋‹ค. ๋ฉ€ํ‹ฐ ํ™‰ ๋ฆด๋ ˆ์ด ์‹œ์Šคํ…œ์€ ์ƒ๋Œ€์ ์œผ๋กœ ๋‚ฎ์€ ์ „์†ก ํŒŒ์›Œ์™€ ์งง์€ ๊ฑฐ๋ฆฌ๋ฅผ ์ด์šฉํ•˜์—ฌ, Line-of-Sight๋ฅผ ํšจ๊ณผ์ ์œผ๋กœ ํ™•๋ณดํ•  ์ˆ˜ ์žˆ๊ณ , ๋น„์šฉ๋„ ์ ๊ฒŒ ์†Œ๋ชจ๋œ๋‹ค๋Š” ์žฅ์ ์ด ์žˆ๋‹ค. ๋ฉ€ํ‹ฐ ํ™‰ ๋ฆด๋ ˆ์ด ์‹œ์Šคํ…œ์€ ์†ก์ˆ˜์‹  ๋ฐฉ๋ฒ•์— ๋”ฐ๋ผ ๋ฐ˜์ด์ค‘ ๋ฆด๋ ˆ์ด ์‹œ์Šคํ…œ (HDR)๊ณผ ์–‘๋ฐฉํ–ฅ ๋ฆด๋ ˆ์ด ์‹œ์Šคํ…œ (FDR)์œผ๋กœ ๋‚˜๋ˆŒ ์ˆ˜ ์žˆ๋‹ค. ๋ฐ˜์ด์ค‘ ๋ฆด๋ ˆ์ด ์‹œ์Šคํ…œ์€ ๋ฆด๋ ˆ์ด๊ฐ€ ์†ก์‹ ๊ณผ ์ˆ˜์‹ ์„ ์‹œ๊ฐ„ ํ˜น์€ ์ฃผํŒŒ์ˆ˜ ๋Œ€์—ญ์œผ๋กœ ๋‚˜๋ˆ„์–ด ์†ก/์ˆ˜์‹  ํ•จ์œผ๋กœ์จ ๋ฆด๋ ˆ์ด์˜ ์†ก์‹ ๊ณผ ์ˆ˜์‹  ์‚ฌ์ด์— ๊ฐ„์„ญ์ด ์ผ์–ด๋‚˜์ง€ ์•Š์ง€๋งŒ, ์ƒ๋Œ€์ ์œผ๋กœ ํ†ต์‹  ์ž์›์„ ํšจ์œจ์ ์œผ๋กœ ์‚ฌ์šฉํ•˜์ง€ ๋ชปํ•œ๋‹ค๋Š” ๋‹จ์ ์ด ์žˆ๋‹ค. ์–‘๋ฐฉํ–ฅ ๋ฆด๋ ˆ์ด ์‹œ์Šคํ…œ์€ ๊ฐ™์€ ์‹œ๊ฐ„ ๋ฐ ์ฃผํŒŒ์ˆ˜ ๋Œ€์—ญ์„ ์ด์šฉํ•˜์—ฌ ์†ก์ˆ˜์‹ ์„ ํ•˜์—ฌ ํ†ต์‹  ์ž์›์„ ํšจ์œจ์ ์œผ๋กœ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์ง€๋งŒ, ๋ฆด๋ ˆ์ด์˜ ์†ก์ˆ˜์‹  ์•ˆํ…Œ๋‚˜ ์‚ฌ์ด์—์„œ ์ž๊ธฐ ๊ฐ„์„ญ์ด ๋ฐœ์ƒํ•˜์—ฌ ๊ทธ ์„ฑ๋Šฅ์„ ํฌ๊ฒŒ ์ €ํ•˜์‹œํ‚จ๋‹ค๋Š” ๋‹จ์ ์„ ๊ฐ–๋Š”๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ๋…ผ๋ฌธ์€ ๋ฆด๋ ˆ์ด์˜ ์ž๊ธฐ ๊ฐ„์„ญ์„ ์ œ๊ฑฐํ•˜๊ณ  ๊ทธ ์žฅ์ ์„ ๊ทน๋Œ€ํ™” ํ•  ์ˆ˜ ์žˆ๋Š” ํ”„๋ฆฌ์ฝ”๋”ฉ์„ ์ œ์•ˆํ•˜์—ฌ ์–‘๋ฐฉํ–ฅ ๋ฆด๋ ˆ์ด์˜ ์„ฑ๋Šฅ์„ ํ–ฅ์ƒ์‹œํ‚ค๊ณ ์ž ํ•œ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์€ ํฌ๊ฒŒ Block-Diagonalization์„ ์ด์šฉํ•œ FDR ์‹œ์Šคํ…œ๊ณผ Limited Feedback Precoding์„ ์ด์šฉํ•œ FDR ์‹œ์Šคํ…œ์œผ๋กœ ๋‚˜๋ˆŒ ์ˆ˜ ์žˆ๋‹ค. ๊ธฐ์กด์— ์—ฐ๊ตฌ๋œ ์–‘๋ฐฉํ–ฅ ๋ฆด๋ ˆ์ด ์‹œ์Šคํ…œ ๊ด€๋ จ ์—ฐ๊ตฌ์˜ ๊ฒฝ์šฐ, Dirty Paper Coding์„ ์ด์šฉํ•˜์—ฌ Rate bound๋ฅผ ๊ตฌํ•˜๊ฑฐ๋‚˜, ์‹ค์งˆ์ ์œผ๋กœ ๋ฆด๋ ˆ์ด ํ”„๋ฆฌ์ฝ”๋”ฉ์„ ๊ณ ๋ คํ•˜์ง€ ์•Š๊ณ  ์„ฑ๋Šฅ์„ ๊ตฌํ•œ ๊ฒƒ์ด ๋Œ€๋ถ€๋ถ„์ด๋‹ค. ์‹ค์ œ ์‹œ์Šคํ…œ์„ ๊ณ ๋ คํ•˜์—ฌ ์–‘๋ฐฉํ–ฅ ๋ฆด๋ ˆ์ด๋ฅผ ์—ฐ๊ตฌํ•œ ๋…ผ๋ฌธ์˜ ๊ฒฝ์šฐ ๊ธฐ์ง€๊ตญ๊ณผ ๋‹จ๋ง์— ํ•œ ๊ฐœ์˜ ์†ก์ˆ˜์‹  ์•ˆํ…Œ๋‚˜๋ฅผ ์ ์šฉํ•˜๊ณ  ๋ฆด๋ ˆ์ด์—๋งŒ ๋‘ ๊ฐœ์˜ ์†ก์ˆ˜์‹  ์•ˆํ…Œ๋‚˜๋ฅผ ์ ์šฉํ•˜์—ฌ ์ž๊ธฐ ๊ฐ„์„ญ ์ฑ„๋„์˜ ์˜๊ณต๊ฐ„์„ ๊ตฌํ•ด ์–‘๋ฐฉํ–ฅ ๋ฆด๋ ˆ์ด ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ๊ตฌํ˜„ํ•˜์˜€๋‹ค. ๊ทธ๋Ÿฌ๋‚˜, ์ด๋Ÿฌํ•œ ๋ฐฉ๋ฒ•์˜ ๊ฒฝ์šฐ MIMO๋ฅผ ์ด์šฉํ•˜์—ฌ ์ฑ„๋„ ์šฉ๋Ÿ‰์„ ํ–ฅ์ƒ ์‹œํ‚ฌ ์ˆ˜ ์—†์œผ๋ฉฐ, ๋ฆด๋ ˆ์ด๊ฐ€ ๊ธฐ์ง€๊ตญ๋ณด๋‹ค๋„ ์˜คํžˆ๋ ค ๋งŽ์€ ์ˆ˜์˜ ์†ก์ˆ˜์‹  ์•ˆํ…Œ๋‚˜๋ฅผ ์‚ฌ์šฉํ•ด์•ผ ํ•œ๋‹ค. ๋˜ํ•œ, ๋ฆด๋ ˆ์ด๊ฐ€ ์—ฌ๋Ÿฌ ๊ฐœ ์กด์žฌํ•˜๋Š” ์ƒํ™ฉ์ด๋‚˜ ์‚ฌ์šฉ์ž๊ฐ€ ์—ฌ๋Ÿฌ ๋ช… ์กด์žฌํ•˜๋Š” ์ƒํ™ฉ์„ ๊ณ ๋ คํ•˜์ง€ ๋ชปํ•˜์—ฌ ์ด๋Ÿฌํ•œ ์ƒํ™ฉ์— ํšจ๊ณผ์ ์œผ๋กœ ๋Œ€์ฒ˜ํ•  ์ˆ˜ ์—†๋‹ค๋Š” ๋‹จ์ ์ด ์žˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ ์ œ์•ˆํ•˜๋Š” Block-Diagonalization์„ ์ด์šฉํ•œ FDR ์‹œ์Šคํ…œ์€ ํ†ต์‹  ์ฑ„๋„ ๋ฐ ์ž๊ธฐ ๊ฐ„์„ญ ์ฑ„๋„์„ ๊ฒฐํ•ฉํ•˜์—ฌ ์˜๊ณต๊ฐ„์„ ๊ตฌํ•จ์œผ๋กœ์จ ๊ธฐ์ง€๊ตญ๊ณผ ๋ฆด๋ ˆ์ด ๋ฐ ์‚ฌ์šฉ์ž๊ฐ€ ๊ฐ™์€ ์ˆ˜์˜ ์†ก์ˆ˜์‹  ์•ˆํ…Œ๋‚˜๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ํ†ต์‹ ์„ ํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•˜์˜€์œผ๋ฉฐ, MIMO ์‹œ์Šคํ…œ์„ ์ ์šฉํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•˜์—ฌ ์•ˆํ…Œ๋‚˜ ์ˆ˜๋ฅผ ๋Š˜๋ ค์„œ ํ†ต์‹  ์‹œ์Šคํ…œ์˜ ์„ฑ๋Šฅ์„ ํ–ฅ์ƒ ์‹œํ‚ฌ ์ˆ˜ ์žˆ๋„๋ก ํ•˜์˜€๋‹ค. ๋˜ํ•œ, ์—ฌ๋Ÿฌ ๊ฐœ์˜ ๋ฆด๋ ˆ์ด๊ฐ€ ์žˆ๋Š” ์‹œ๋‚˜๋ฆฌ์˜ค์™€ ์—ฌ๋Ÿฌ ๋ช…์˜ ์‚ฌ์šฉ์ž๊ฐ€ ์žˆ๋Š” ์‹œ๋‚˜๋ฆฌ์˜ค๋ฅผ ๊ณ ๋ คํ•˜์—ฌ ์ด๋Ÿฌํ•œ ์ƒํ™ฉ์—์„œ๋„ ์–‘๋ฐฉํ–ฅ ๋ฆด๋ ˆ์ด๋ฅผ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•˜์˜€๋‹ค. Limited Feedback Precoding์„ ์ด์šฉํ•œ FDR ์‹œ์Šคํ…œ์€ Limited Feedback Precoding์„ ์ด์šฉํ•œ ์–‘๋ฐฉํ–ฅ ๋ฆด๋ ˆ์ด ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์ œ์•ˆํ•œ๋‹ค. Limited Feedback Precoding์€ Channel State Information์„ ํ•„์š”๋กœ ํ•˜๋Š” ๊ธฐ์กด ์•Œ๊ณ ๋ฆฌ์ฆ˜๊ณผ ๋‹ฌ๋ฆฌ ์ตœ๊ณ ์˜ ์„ฑ๋Šฅ์„ ๋‚˜ํƒ€๋‚ด๋Š” precoding์˜ index๋งŒ์„ feedback ํ•จ์œผ๋กœ์จ feedback ์–‘์„ ์ค„์ด๋ฉด์„œ ์–‘๋ฐฉํ–ฅ ๋ฆด๋ ˆ์ด ์‹œ์Šคํ…œ์˜ ์„ฑ๋Šฅ์„ ํ–ฅ์ƒ ์‹œํ‚ฌ ์ˆ˜ ์žˆ๋‹ค. ๋˜ํ•œ, Iterative Limited Feedback ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์ œ์•ˆํ•จ์œผ๋กœ์จ Multi Relay ๋ฐ Multi User ์‹œ๋‚˜๋ฆฌ์˜ค์—์„œ๋„ ๋” ์ ์€ feedback ์–‘์œผ๋กœ ์–‘๋ฐฉํ–ฅ ๋ฆด๋ ˆ์ด ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์ ์šฉํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•˜์˜€๋‹ค.The promising concept of multi-hop relay has recently stimulated intensive research to improve the performance of wireless systems. It is well known that a cooperative link that uses a relay station (RS) not only enhances coverage but also increases the capacity of the communication system in a shadow region, wherein the strength of a signal transmitted from a base station (BS) might be less than the receiver sensitivity because of signal obstruction by geographical structures [1]. In a single-relay single-user (SRSU) half-duplex relay (HDR) system, two links (the link between a BS and an RS is called the BS-RS link and that between an RS and a mobile station (MS) is called the RS-MS link) exist with only one link operating at any given instant. Although this type of relay system is beneficial in terms of hardware simplicity, it suffers from the drawback of capacity reduction due to partitioned resources. In contrast, the advantage of a full-duplex relay (FDR) over an HDR system in terms of system capacity is that an RS in an FDR system can simultaneously transmit and receive signals in the same frequency band. Even though this advantage of an FDR system can improve system capacity, an FDR system suffers from the crucial limitation of self-interference that occurs between the signals transmitted from and received by the same RS (RS-RS link) [2]. This dissertation proposes the FDR precodings for the SRSU, multi-relay single-user (MRSU) and single-relay multi-user (SRMU) systems. In the SRSU and MRSU system, it is crucial to design an FDR precoding scheme in order to prevent aforementioned self-interference imposed by the transmitting antennas on the receiving antennas in the same relay station. In the SRMU FDR system, the multi-user interference caused by co-channel MSs must be considered. In this dissertation, I propose a precoder scheme that mitigates the residual self-interference of the relay station using block-diagonalization (BD) [3] and limited feedback precoding [4]-[5]. The proposed precoding scheme not only prevents self-interference but also provides the improved system capacity compared to HDR system. I propose the BD beamforming vectors that are designed in terms of BD criteria. The conventional technique requires 2 transmitting and receiving antennas in SISO SRSU system [6]. Compared to the conventional scheme, the proposed algorithm relaxes this restriction of the number of transmitting antennas by combining channel matrices and saves the transmit power of RSs. The proposed scheme can be adopted in multiple-input multiple-output (MIMO) SRSU, MRSU and SRMU systems. I also propose the FDR systems that are designed in terms of limited feedback criteria. The conventional FDR precodings require the channel state information of all communication channels. In the limited feedback precoding, the receiver selects one of the beamformers with the best signal-to-interference ratio (SINR) for that receiver and feeds back only the index of the optimal precoder. The proposed precoding scheme based on limited feedback precoding prevents self-interference and multi-user interference for the SRSU, MRSU and SRMU systems. I also propose iterative limited feedback precoding for the FDR system. The iterative limited feedback precoding only requires the channel state information of the adjacent relay and users. The proposed scheme not only provides less computational complexity but also achieves system performance closely to the centralized limited feedback precoding. Numerical results are illustrated to show the capacity analysis of the limited feedback and iterative limited feedback precodings for the SRSU, MRSU and SRMU systems.Contents Abstract i Contents v List of Figures viii List of Tables xi Chapter 1 Introduction ๏ผ‘ 1.1 Relay Communications ๏ผ‘ 1.2 Half-duplex relay and Full-duplex relay ๏ผ“ 1.3 Block Diagonalization (BD) and Limited Feedback precoding ๏ผ• 1.4 Dissertation Outline ๏ผ– Chapter 2 BD FDR Precoding for the SRSU System ๏ผ˜ 2.1 Motivation ๏ผ˜ 2.2 System Model ๏ผ‘๏ผ 2.3 Channel Capacity of the SRSU HDR System ๏ผ‘๏ผ‘ 2.4 Proposed Precoding Scheme for the SRSU FDR System ๏ผ‘๏ผ” 2.5 Channel Capacity of the SRSU FDR System ๏ผ‘๏ผ˜ 2.6 Simulation Results and Discussion ๏ผ‘๏ผ™ 2.7 Conclusion ๏ผ’๏ผ’ Chapter 3 BD FDR Precoding for the MRSU System ๏ผ’๏ผ“ 3.1 Motivation ๏ผ’๏ผ“ 3.2 System Model ๏ผ’๏ผ” 3.3 Channel Capacity of the MRSU HDR System ๏ผ’๏ผ˜ 3.4 Proposed Precoding Scheme for the MRSU FDR System ๏ผ“๏ผ 3.5 Channel Capacity of the MRSU FDR System ๏ผ“๏ผ” 3.6 Simulation Results and Discussion ๏ผ“๏ผ– 3.7 Conclusion ๏ผ”๏ผ Chapter 4 BD FDR Precoding for the SRMU System ๏ผ”๏ผ‘ 4.1 Motivation ๏ผ”๏ผ‘ 4.2 System Model ๏ผ”๏ผ’ 4.3 Channel Capacity of the SRMU HDR System ๏ผ”๏ผ• 4.4 Proposed FDR Precoding Scheme for the SRMU System ๏ผ”๏ผ— 4.5 Channel Capacity of the SRMU FDR System ๏ผ•๏ผ‘ 4.6 Simulation Results and Discussion ๏ผ•๏ผ’ 4.7 Conclusion ๏ผ•๏ผ– Chapter 5 Limited Feedback FDR Precoding for the SRSU System ๏ผ•๏ผ˜ 5.1 Motivation ๏ผ•๏ผ˜ 5.2 System Model ๏ผ•๏ผ™ 5.3 Proposed FDR Precoding Scheme for the SRSU System ๏ผ–๏ผ‘ 5.4 Centralized Limited Feedback Precoding Scheme for the SRSU FDR System ๏ผ–๏ผ“ 5.5 Iterative Limited Feedback Precoding Scheme for the SRSU FDR System ๏ผ–๏ผ“ 5.6 Simulation Results and Discussion ๏ผ–๏ผ” 5.7 Conclusion ๏ผ–๏ผ˜ Chapter 6 Limited Feedback FDR Precoding for the MRSU System ๏ผ–๏ผ™ 6.1 Motivation ๏ผ–๏ผ™ 6.2 System Model ๏ผ—๏ผ 6.3 Proposed FDR Precoding Scheme for the MRSU System ๏ผ—๏ผ’ 6.4 Centralized Limited Feedback Precoding Scheme for the MRSU FDR System ๏ผ—๏ผ• 6.5 Iterative Limited Feedback Precoding Scheme for the MRSU FDR System ๏ผ—๏ผ– 6.6 Simulation Results and Discussion ๏ผ—๏ผ– 6.7 Conclusion ๏ผ˜๏ผ’ Chapter 7 Limited Feedback FDR Precoding for the SRMU System ๏ผ˜๏ผ” 7.1 Motivation ๏ผ˜๏ผ” 7.2 System Model ๏ผ˜๏ผ• 7.3 Proposed FDR Precoding Scheme for the SRMU System ๏ผ˜๏ผ— 7.4 Centralized Limited Feedback Precoding Scheme for the SRMU FDR System ๏ผ˜๏ผ™ 7.5 Iteratrive Limited Feedback Precoding Scheme for the SRMU FDR System ๏ผ˜๏ผ™ 7.6 Simulation Results and Discussion ๏ผ™๏ผ‘ 7.7 Conclusion ๏ผ™๏ผ— Chapter 8 Conclusion ๏ผ™๏ผ˜ Bibliography ๏ผ‘๏ผ๏ผDocto

    Full-duplex wireless communications: challenges, solutions and future research directions

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    The family of conventional half-duplex (HD) wireless systems relied on transmitting and receiving in different time-slots or frequency sub-bands. Hence the wireless research community aspires to conceive full-duplex (FD) operation for supporting concurrent transmission and reception in a single time/frequency channel, which would improve the attainable spectral efficiency by a factor of two. The main challenge encountered in implementing an FD wireless device is the large power difference between the self-interference (SI) imposed by the deviceโ€™s own transmissions and the signal of interest received from a remote source. In this survey, we present a comprehensive list of the potential FD techniques and highlight their pros and cons. We classify the SI cancellation techniques into three categories, namely passive suppression, analog cancellation and digital cancellation, with the advantages and disadvantages of each technique compared. Specifically, we analyse the main impairments (e.g. phase noise, power amplifier nonlinearity as well as in-phase and quadrature-phase (I/Q) imbalance, etc.) that degrading the SI cancellation. We then discuss the FD based Media Access Control (MAC)-layer protocol design for the sake of addressing some of the critical issues, such as the problem of hidden terminals, the resultant end-to-end delay and the high packet loss ratio (PLR) due to network congestion. After elaborating on a variety of physical/MAC-layer techniques, we discuss potential solutions conceived for meeting the challenges imposed by the aforementioned techniques. Furthermore, we also discuss a range of critical issues related to the implementation, performance enhancement and optimization of FD systems, including important topics such as hybrid FD/HD scheme, optimal relay selection and optimal power allocation, etc. Finally, a variety of new directions and open problems associated with FD technology are pointed out. Our hope is that this treatise will stimulate future research efforts in the emerging field of FD communication
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