Minimum Error Probability MIMO-Aided Relaying: Multihop, Parallel, and Cognitive Designs

Dutta, Amit Kumar; Hari, K.V.S.; Murthy, Chandra R.; Mehta, Neelesh B.; Hanzo, Lajos

doi:10.1109/tvt.2016.2614901

Cited by 10 publications

(7 citation statements)

References 10 publications

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“…After employing the fractional programming theory, the equivalent sub-problems corresponding to problems (P4) and (P5) can be given, respectively, as (19), (21), (23), and (24) .…”

Section: Proposed Solutionmentioning

confidence: 99%

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Joint source and relay precoder design for energy‐efficient MIMO‐cognitive relay networks

2019

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“…After employing the fractional programming theory, the equivalent sub-problems corresponding to problems (P4) and (P5) can be given, respectively, as (19), (21), (23), and (24) .…”

Section: Proposed Solutionmentioning

confidence: 99%

“…relay selection and spectrum allocation. However, Dutta et al [24] optimised the source precoder, relay precoder and equaliser weights at the receiver based on the minimum error probability framework for a MIMO-CRN.…”

Section: Introductionmentioning

confidence: 99%

Joint source and relay precoder design for energy‐efficient MIMO‐cognitive relay networks

2019

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“…Furthermore, existing wireless standards are accommodating the coexistence of radar and communication systems [5]. On the other hand, relay technology has garnered significant attention for its ability to extend the coverage area of transmitted signals over considerable distances [6], [7]. Beyond increasing range, relays also play a crucial role in ensuring the reliability of communication links.…”

Section: Introductionmentioning

confidence: 99%

RadRCom: A Relay-Assisted Radar Communication System Design Framework

Naskar,

Dutta

2024

IEEE Access

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This study introduces the novel communication topology, namely RadRCom, integrating radar and relay-assisted communication systems for single antenna configuration as a proof of concept. While simultaneous radar and communication operations within the same spectrum gain momentum, our work advances this concept by incorporating relay assistance, particularly crucial in applications like vehicle-to-anything (V2X) communication. The inclusion of relays significantly enhances communication system performance, addressing challenges such as interference management between radar, relay, and communication nodes. This topology attracts three design challenges such as optimal radar waveform, relay parameters and communication system parameters. However, the key bottlenecks are the interference from radar to the relay and communication receiver and similarly the one from communication transmitter and relay node to the radar. Therefore, the work addresses these challenges simultaneously meeting the quality of service. Our proposed RadRCom system optimizes radar waveform and relay parameters to improve signal-to-interference noise ratio (SINR) at the radar and mean square error (MSE) of data transmission. We introduce two frameworks for parameter design, i.e, radar-centric and relay-centric ones. We take a sub-optimal iterative approach to address the computational complexity. Numerical simulations are performed to evaluate the performances of the proposed RadRCom system with the proposed algorithms.

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“…Incremental relaying for Cognitive Radio Networks (CRN) was studied in [14][15][16][17][18][19][20][21][22][23][24]. Cooperative beamforming combined with incremental relaying was considered in [14] in order to improve spectrum efficiency.…”

Section: Introductionmentioning

confidence: 99%

“…The average fade duration was studied in [21] when incremental AF relaying is implemented. Relaying for multihop CRN has been studied in [22][23][24]. However, incremental relaying for multihop CRN has not been yet investigated.…”

Section: Introductionmentioning

confidence: 99%

Throughput analysis and optimization of cognitive radio networks using incremental relaying

Alnwaimi

Boujemâa

2018

Telecommun Syst

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In this paper, we derive the throughput and Bit Error Probability of incremental relaying for cognitive radio networks. Relaying in the secondary network is performed only when the SNR of the direct link is lower than a predefined threshold β. Also, all relays must verify interference constraints: the generated interference to primary receiver must be below a chosen threshold (T ) so that the primary throughput is larger than a predefined value. The analysis is valid for different relay selection techniques: Opportunistic amplify and forward, opportunistic decode and forward, partial and reactive AF relay selection. We also consider multihop relaying with single and multiple branches. For multiple branches, two scenarios are considered: all branches are maximum ratio combined or the best branch is activated. We also take into account the interference from primary to secondary nodes. The parameter β of incremental relaying is also numerically optimized to achieve the highest secondary throughput. KeywordsCognitive radio networks • Incremental relaying • Amplify and forward • Decode and forward • Rayleigh channels

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Minimum Error Probability MIMO-Aided Relaying: Multihop, Parallel, and Cognitive Designs

Abstract: Abstract-A design methodology based on the minimum error proba-8 bility (MEP) framework is proposed for a nonregenerative multiple-input 9 multiple-output relay-aided system. We consider the associated cognitive,

Cited by 10 publications

References 10 publications

Joint source and relay precoder design for energy‐efficient MIMO‐cognitive relay networks

Joint source and relay precoder design for energy‐efficient MIMO‐cognitive relay networks

RadRCom: A Relay-Assisted Radar Communication System Design Framework

Throughput analysis and optimization of cognitive radio networks using incremental relaying

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