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EC of the IRS-aided HI-FD system in comparison with that of the IRS-aided FD-ID, HD-HI, and HD-ID systems for N = 20 reflecting elements, k 2 = 0.01, and l 2 = 0.1.
Contexts in source publication
Context 1
... of two terminals A and B are P A = P B = P ; the power noises at two receivers A and B are σ 2 A = σ 2 B = σ 2 ; the HI levels at the transmitters and receivers are (k t A ) 2 = (k r B ) 2 = (k t B ) 2 = (k r B ) 2 = k 2 ; the residual SI levels at two receivers A and B are l 2 A = l 2 B = l 2 ; and the average SNR is computed as SNR = P/σ 2 . Fig. 2 illustrates the EC of the IRS-aided FD-HI system in comparison with that of the IRS-aided FD-ID, HD-HI, and HD-ID systems for N = 20 reflecting elements, k 2 = 0.01, and l 2 = 0.1. We use (23) in Theorem 1 to obtain the theory curve of the EC of the IRS-aided FD-HI system. It is clear from Fig. 2 that for the investigated parameters, ...
Context 2
... ; and the average SNR is computed as SNR = P/σ 2 . Fig. 2 illustrates the EC of the IRS-aided FD-HI system in comparison with that of the IRS-aided FD-ID, HD-HI, and HD-ID systems for N = 20 reflecting elements, k 2 = 0.01, and l 2 = 0.1. We use (23) in Theorem 1 to obtain the theory curve of the EC of the IRS-aided FD-HI system. It is clear from Fig. 2 that for the investigated parameters, the EC of the IRS-aided FD-ID system is the best, while the EC of the IRS-aided HD-HI system is the worst. In addition, although the EC of the IRS-aided FD-HI system is always higher than that of the IRS-aided HD-HI system, however, it may be higher or lower than that of the IRS-aided HD-ID system. ...
Context 3
... when SNR = 30 dB. Moreover, the saturation ceiling of the EC of the IRS-aided FD-HI system is perfectly accurate with analysis expressions given in (47) and (48). Fig. 3 investigates the effects of the residual SIs on the EC of the IRS-aided FD-HI system for l 2 = 0, 0.1, 0.2, 0.3, 0.4. Since the HI level in Fig. 3 is smaller than that in Fig. 2, the ECs of the IRS-aided FD-HI and HD-HI systems in Fig. 3 are higher than those in Fig. 2. As shown in Fig. 3, higher residual SIs lead to lower ECs of the IRS-aided FD-HI and FD-ID systems, especially for the IRS-aided FD-ID system. Note that in the case of l 2 = 0 (perfect SI cancellation), the ECs of the FD-HI and FD-ID systems ...
Context 4
... system is perfectly accurate with analysis expressions given in (47) and (48). Fig. 3 investigates the effects of the residual SIs on the EC of the IRS-aided FD-HI system for l 2 = 0, 0.1, 0.2, 0.3, 0.4. Since the HI level in Fig. 3 is smaller than that in Fig. 2, the ECs of the IRS-aided FD-HI and HD-HI systems in Fig. 3 are higher than those in Fig. 2. As shown in Fig. 3, higher residual SIs lead to lower ECs of the IRS-aided FD-HI and FD-ID systems, especially for the IRS-aided FD-ID system. Note that in the case of l 2 = 0 (perfect SI cancellation), the ECs of the FD-HI and FD-ID systems are double in comparison with the ECs of HD-HI and HD-ID systems, respectively. In addition, ...
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Citations
... By substituting the PDFs |h| ∼ N K(m 1 , Ω 1 ), and |g| ∼ N K(m 2 , Ω 2 ) expressed in (7), into (8), and using the identity ...
This paper introduces a new analytical framework to evaluate the capacity of intelligent reconfigurable surface (IRS) -aided wireless networks in the presence of a direct link (DL). The analysis obtained is used to characterize the signal-to-noise ratio (SNR) at the user equipment (UE) while using adaptive power and rate transmission. In particular, we consider channel inversion with fixed rate, optimum power and rate adaptation, and truncated channel inversion with a fixed rate. The obtained expressions are derived in a unified closed-form. All single-hop channel gains are modeled as independent and identically distributed Nakagami-m fading channels. Consequently, the channels gains at the receiver become independent and nonidentically distributed. The moment generating function (MGF) is used to derive an accurate approximation of the probability density and cumulative distribution functions of the instantaneous SNR, which are used to evaluate the channel capacity at low and high SNRs to quantify the achievable multiplexing gain. The analytical and simulation results obtained indicated that a strong DL may significantly enhance the channel capacity gain obtained using the IRS. In particular scenarios, the capacity improved by approximately 30% for a large number of IRS elements when the DL Nakagami fading parameter m increases from 2 to 6.
p> This paper introduces a new analytical framework to evaluate the capacity of intelligent reconfigurable surface (IRS)-aided wireless networks in the presence of a direct link (DL). The obtained analysis is used to characterize the signal-to-noise ratio (SNR) at the user equipment (UE) while using adaptive power and rate transmission. In particular, we consider the channel inversion with a fixed rate, optimum power and rate adaptation, and the truncated channel inversion with a fixed rate. The obtained expressions are derived in a unified closed-form. All the single-hop channel gains are modeled as independent and identically distributed Nakagami-m fading channels. Consequently, the channels’ gains at the receiver become independent and non-identically distributed. The moment generating function (MGF) is used to derive an accurate approximation of the probability density and cumulative distribution functions of the instantaneous SNR, which are used to evaluate the channel capacity at low and high SNRs to quantify the achievable multiplexing gain. The obtained analytical and simulation results indicated that a strong DL may significantly enhance the channel capacity gain obtained using the IRS. In particular scenarios, the capacity improved by about 30% for a large number of IRS elements when the DL Nakagami fading parameter m is increased from 2 to 6. </p
p> This paper introduces a new analytical framework to evaluate the capacity of intelligent reconfigurable surface (IRS)-aided wireless networks in the presence of a direct link (DL). The obtained analysis is used to characterize the signal-to-noise ratio (SNR) at the user equipment (UE) while using adaptive power and rate transmission. In particular, we consider the channel inversion with a fixed rate, optimum power and rate adaptation, and the truncated channel inversion with a fixed rate. The obtained expressions are derived in a unified closed-form. All the single-hop channel gains are modeled as independent and identically distributed Nakagami-m fading channels. Consequently, the channels’ gains at the receiver become independent and non-identically distributed. The moment generating function (MGF) is used to derive an accurate approximation of the probability density and cumulative distribution functions of the instantaneous SNR, which are used to evaluate the channel capacity at low and high SNRs to quantify the achievable multiplexing gain. The obtained analytical and simulation results indicated that a strong DL may significantly enhance the channel capacity gain obtained using the IRS. In particular scenarios, the capacity improved by about 30% for a large number of IRS elements when the DL Nakagami fading parameter m is increased from 2 to 6. </p
This work investigates the covert information freshness in intelligent reflecting surface (IRS)-aided communications, where a public full-duplex user (Alice) and a private full-duplex user (Bob) exchange information in the presence of a watchful warden (Willie). In particular, with the help of Alice’s undisguised signal transmission, Bob can establish covert communications such that his transmission can be shielded from Willie. Considering both the non-retransmission protocol and the automatic repeat-request (ARQ) protocol for Bob’s transmission, we study the resource allocation design. By exploiting the channel statistics, the joint design of active beamforming at Alice and Bob, the passive beamforming at the IRS, and the packet length of the confidential data packet is formulated as a nonconvex optimization problem which minimizes the age of information (AoI) at Alice for the two considered protocols taking into account the quality of service in terms of the maximum tolerable AoI at Bob and communication covertness. To circumvent the non-convexity of the design problem, we propose alternating optimization algorithms to find effective solutions. Numerical results demonstrate the superiority of our proposed optimization algorithms over various benchmarks and unveil the decrease of the optimized packet length with the improved covert channel quality.
