Maximizing physical layer security in relay‐assisted multicarrier nonorthogonal multiple access transmission

Khan, Wali Ullah

doi:10.1002/itl2.76

Cited by 19 publications

(17 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Regarding the two-way information exchange processes, which are Figures 16 to 19, 1 achieves better secrecy trade-off performance than other users. This is also because of the order of user decoding process as described in (15) to (22) and (25) to (32). These observations are consistent with the derived analytical and asymptotic expressions.…”

Section: Figure 21supporting

confidence: 87%

See 1 more Smart Citation

Leakage rate analysis with imperfect channel state information for cooperative nonorthogonal multiple access networks

Özduran

2020

Int J Communication

View full text Add to dashboard Cite

This paper investigates the imperfect channel state information that is caused by the channel estimation error and feedback delay effects on the leakage rate analysis for the cooperative nonorthogonal multiple access networks. The investigation considers a dual hop one-/two-way nonorthogonal multiple access-based information exchange process with the aid of half-/full-duplex untrustworthy wireless relaying network for the leakage rate analysis. The channel estimation error causes system coding gain losses while the feedback delay does not have any effect on the users' outage performance at untrustworthy relay terminal in low signal-to-noise ratio regimes. Conversely, the channel estimation error effects become negligible while the feedback delay causes system coding gain losses on the users' outage performance at untrustworthy relay terminal in high signal-to-noise ratio. Results also reveal that the untrustworthy relay terminal, which is under the effect of the channel estimation error and feedback delay, is being active between −10 and 25-30 dB. Beyond 25-30 dB, the untrustworthy relay terminal becomes out of order and saturates. The Monte Carlo-based simulation results are in agreement with the analytical and asymptotic derivations. KEYWORDScooperative communications, leakage rate analysis, nonorthogonal multiple access INTRODUCTIONWireless information exchange process has become vulnerable to cyber attacks. This is because of the open medium of wireless communication and broadcasting nature. This results in an information leakage on the legitimate terminals' information exchange process. The literature contains several types of techniques to mitigate the information leakage. Until Wyner's wiretap channels, 1 the secure information exchange processes were compensated with the help of the higher layer encryption techniques, which are data encryption standard (DES), 2 triple data ecryption standard (TDES), 3 Rivest-Shamir-Adleman (RSA), 4 and advanced encryption standard (AES). 5 The drawback of the aforementioned higher level encryption techniques is the receiver needs to have a secret key to decode the cipher text. Wyner showed that the physical layer (PHY) security could be an alternative solution to mitigate the information leakage. Friendly jammers and/or legitimate terminals send artificial noise/interference to confuse the illegitimate terminals. There are several other Abbreviations: LRA, leakage rate analysis; NOMA, nonorthogonal multiple access; CC, cooperative communications Int J Commun Syst. 2020;33:e4387.wileyonlinelibrary.com/journal/dac

show abstract

Section: Figure 21supporting

confidence: 87%

“…However, 1 gets out of order beyond 30 dB. This is because of the order of user decoding process as described in (29), (30), (31), and (32). These observations are consistent with the derived analytical and asymptotic expressions.…”

Section: Figure 19supporting

confidence: 85%

Leakage rate analysis with imperfect channel state information for cooperative nonorthogonal multiple access networks

Özduran

2020

Int J Communication

View full text Add to dashboard Cite

show abstract

“…Constraint in (6) ensures that CU j has access to no more than one sub-channel at one time. Constraint in (7) shows that a sub-channel can accommodates no more than U max users at one time. Constraint in (8) guarantees the minimum capacity of each user, whereC min is the threshold of minimum user capacity.…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

“…After receiving the signals from BS, the strong user applies SIC technique to remove the signal of weak user before decoding its own signal. However, weak user can not apply SIC and receives the signal with the interference of a strong user [7].…”

Section: Introductionmentioning

confidence: 99%

Efficient Resource Management for Sum Capacity Maximization in 5G NOMA Systems

Ali

Baig

Awan

et al. 2019

ASI

Self Cite

View full text Add to dashboard Cite

The modern cellular technologies are expected to provide high data rates and massive connectivity in fifth generation (5G) systems; however, this may be impossible through traditional radio access techniques. Recently, non-orthogonal multiple access (NOMA) has emerged as one of the promising cellular techniques for modern cellular communications with its ability to provide access for multiple users to the network over the same system resources. This paper studies resource management problem for downlink transmission of multiuser NOMA system. Our objective is to optimize both frequency and power resources for sum capacity maximization while taking into account each user minimum capacity requirement. Firstly, the problem of resource management decouples into two subproblems, that is, efficient sub-channel assignment and optimal power allocation, respectively. Secondly, for given power at base station, we design two sub-optimal algorithms for sub-channel assignment based on user channel condition and user minimum capacity requirement, respectively. Lastly, for any given sub-channel assignment, the problem first transforms into standard convex optimization problem and then we employ duality theory. To evaluate our proposed NOMA scheme, the enhanced version of existing NOMA optimization scheme is also presented as a benchmark. Results demonstrate that the proposed NOMA resource management scheme outperforms the benchmark NOMA optimization scheme in terms of sum capacity.

show abstract

“…Traditional OMA is required to use orthogonal resources to support multiple devices, while relying on the power multiplexing of NOMA IoT can serve a large number of various devices in the same time/frequency domain [8,9]. Furthermore, the physical layer security performance of NOMA systems outperforms the OMA system and improves the security rate of the system greatly [10]. In addition, to ensure the fairness among devices, different power signals are transmitted according to the channel state information (CSI) between the transmitter (TX) and receiver (RX), and the successive interference cancellation (SIC) is adopted at the RX to eliminate interdevice interference [11,12].…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of IQI Impaired Cooperative NOMA for 5G-Enabled Internet of Things

Guo

Deng

et al. 2020

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

This paper investigates the joint effects of in-phase and quadrature-phase imbalance (IQI) and imperfect successive interference cancellation (ipSIC) on the cooperative Internet of Things (IoT) nonorthogonal multiple access (NOMA) networks where the Nakagami-m fading channel is taken into account. The closed-form expressions of outage probability for the far and near IoT devices are derived to evaluate the outage behaviors. For deeper insights of the performance of the considered system, the approximate outage probability and diversity order in high signal-to-noise ratio (SNR) regime are obtained. In addition, we also analyze the throughput and energy efficiency to characterize the performance of the considered system. The simulation results demonstrate that, compared with IQI, ipSIC has a greater impact on the outage performance for the near-IoT-device of the considered system. Furthermore, we also find that the outage probabilities of IoT devices can be minimized by selecting a specific power allocation scheme.

show abstract

Maximizing physical layer security in relay‐assisted multicarrier nonorthogonal multiple access transmission

Cited by 19 publications

References 16 publications

Leakage rate analysis with imperfect channel state information for cooperative nonorthogonal multiple access networks

Leakage rate analysis with imperfect channel state information for cooperative nonorthogonal multiple access networks

Efficient Resource Management for Sum Capacity Maximization in 5G NOMA Systems

Performance Analysis of IQI Impaired Cooperative NOMA for 5G-Enabled Internet of Things

Contact Info

Product

Resources

About