Direct Link-Aware Optimal Relay Selection and a Low Feedback Variant for Underlay CR

Das, Priyanka; Mehta, Neelesh B.

doi:10.1109/tcomm.2015.2432026

Cited by 17 publications

(7 citation statements)

References 32 publications

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“…It differs from the incremental RS rules in [7], [8], [11], and the symbol error probability (SEP)-optimal RS rules in [2], [3] for underlay CR. This is because minimizing the average SEP does not imply maximizing the average rate due to the non-linear relationship between the two.…”

Section: B Focus and Contributionsmentioning

confidence: 96%

Revisiting Incremental Relaying and Relay Selection for Underlay Cognitive Radio

Das¹,

Mehta²

2014

2015 IEEE Global Communications Conference (GLOBECOM)

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Cooperative relaying combined with selection exploits spatial diversity to improve the performance of interference-constrained secondary users in an underlay cognitive radio network. While a relay improves the signal-to-interferenceplus-noise ratio, it requires two hops and also generates interference to the primary. Therefore, in underlay cognitive radio, new criteria are needed to determine which relay to select. We present an optimal relay selection rule that maximizes the fading-averaged transmission rate of an average interferenceconstrained underlay secondary network. It differs from the many rules proposed in the literature. We then analyze its fadingaveraged channel capacity. Numerical results show that the proposed rule outperforms direct transmission and several other rules, such as incremental relaying, proposed in the literature.

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Section: B Focus and Contributionsmentioning

confidence: 96%

Revisiting Incremental Relaying and Relay Selection for Underlay Cognitive Radio

Das¹,

Mehta²

2014

2015 IEEE Global Communications Conference (GLOBECOM)

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“…Hence for ǫ > 0, ∃ N 3 (ǫ) such that ∀N ≥ N 3 (ǫ) the event {|p 2 i ′ − E r ζ 2 i,i ′ | > ǫ} almost surely never occurs. Also the convergence is uniform for all users.…”

Section: Appendix D Proof Of Equation (41)mentioning

confidence: 99%

“…R ELAY-based co-operative communication provides reliable links for users who do not have a direct link to communicate among themselves [1], [2]. Conventional relaying, commonly known as one-way relaying [1], achieves this objective but requires four distinct time/frequency channel uses for bi-directional communication between two users.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Quantized MRC-MRT Precoder For FDD Massive MIMO Two-Way AF Relaying

Dutta

Budhiraja

Koilpillai

et al. 2019

IEEE Trans. Commun.

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The maturing massive multiple-input multipleoutput (MIMO) literature has provided asymptotic limits for the rate and energy efficiency (EE) of maximal ratio combining /maximal ratio transmission (MRC-MRT) relaying on two-way relays (TWR) using the amplify-and-forward (AF) principle. Most of these studies consider time division duplexing, and a fixed number of users. To fill the gap in the literature, we analyze the MRC-MRT precoder performance of a N-antenna AF massive MIMO TWR, which operates in frequency division duplex mode to enable two-way communication between 2M = ⌊N α ⌋ singleantenna users, with α ∈ [0, 1), divided equally in two groups of M users. We assume that the relay has realistic imperfect uplink channel state information (CSI), and that quantized downlink CSI is fed back by the users relying on B ≥ 1 bits peruser per relay antenna. We prove that for such a system with α ∈ [0, 1), the MRC-MRT precoder asymptotically cancels the multiuser interference (MUI) when the supremum and infimum of large scale fading parameters is strictly non-zero and finite, respectively. Furthermore, its per-user pairwise error probability (PEP) converges to that of an equivalent AWGN channel as both N and the number of users 2M = ⌊N α ⌋ tend to infinity, with a relay power scaling of Pr = 2M Er N and Er being a constant. We also derive upper bounds for both the per-user rate and EE. We analytically show that the quantized MRC-MRT precoder requires as few as B = 2 bits to yield a BER, EE, and per-user rate close to the respective unquantized counterparts. Finally, we show that the analysis developed herein to derive a bound on α for MUI cancellation is applicable both to Gaussian as well as to any arbitrary non-Gaussian complex channels.

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“…To meet this requirement, Relay Assisted (RA) communication with relay selection, a typical cooperative communication technique, has gained a lot of interest due to its ability to mitigate fading in wireless channels by introducing spatial diversity gain. To fully exploit the advantages of RA communication techniques, various relaying strategies and selection schemes have been proposed to achieve significant performance gains under various performance criteria and constraints [1][2][3][4][5][6][7][8][9][10][11][12][13] .…”

Section: Introductionmentioning

confidence: 99%

“…In regards to relay selection schemes, Bletsas et al [2] and Jedrzejczak et al [3] studied the spectrum efficient relay selection scheme based on the harmonic mean of Source-Relay (SR) and Relay-Destination (RD) channel gains, and various relay selection schemes were proposed in Refs. [6][7][8] to optimize the outage of wireless powered RA networks. In order to study the coverage performance of the RA network, the corresponding relay selection scheme based on the outage probability criterion was design in Refs.…”

Section: Introductionmentioning

confidence: 99%

Relay selection scheme for AF system with partial CSI and optimal stopping theory

Zhu

Guo

et al. 2020

Tinshhua Sci. Technol.

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Relay selection for Relay Assisted (RA) networks is an economical and effective method to improve the spectrum efficiency. Relay selection performs especially well when the source node has accurate and timely Channel State Information (CSI). However, since perfect CSI knowledge is rarely available, research of relay selection with partial (statistical) CSI is of paramount importance. In this paper, relay selection for RA networks with statistical CSI is formulated as a Multiple-Decision (MD) problem. And, the cost of obtaining the CSI is also considered in the formulated problem. Two relay selection schemes, Maximal Selection Probability (MSP) and Maximal Spectrum Efficiency Expectation (MSEE), are proposed to solve the formulated MD problem under different optimal criteria assumptions based on the optimal stopping theory. The MSP scheme maximizes the probability that the Best Assisted Relay Candidate (BARC) can be selected, whereas the MSEE scheme provides the maximal expectation of the spectrum efficiency. Experimental results show that the proposed schemes effectively improve the spectrum efficiency, and the MSEE scheme is more suitable for stable communication cases. Meanwhile, the MSP scheme is more suitable for burst communication cases.

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Direct Link-Aware Optimal Relay Selection and a Low Feedback Variant for Underlay CR

Cited by 17 publications

References 32 publications

Revisiting Incremental Relaying and Relay Selection for Underlay Cognitive Radio

Revisiting Incremental Relaying and Relay Selection for Underlay Cognitive Radio

Analysis of Quantized MRC-MRT Precoder For FDD Massive MIMO Two-Way AF Relaying

Relay selection scheme for AF system with partial CSI and optimal stopping theory

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