Rate-splitting multiple access(RSMA) has recently gained attention as a potential robust multiple access(MA)scheme for upcoming wireless networks. Given its ability to efficiently utilize wireless resources and design...
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Rate-splitting multiple access(RSMA) has recently gained attention as a potential robust multiple access(MA)scheme for upcoming wireless networks. Given its ability to efficiently utilize wireless resources and design interference management strategies, it can be applied to unmanned aerial vehicle(UAV) networks to provide convenient services for large-scale access ground users. However, due to the line-of-sight(LoS) broadcast nature of UAV transmission, information is susceptible to eavesdropping in RSMA-based UAV networks. Moreover, the superposition of signals at the receiver in such networks becomes complicated. To cope with the challenge, we propose a two-user multi-input single-output(MISO) RSMA-based UAV secure transmission framework in downlink communication networks. In a passive eavesdropping scenario, our goal is to maximize the sum secrecy rate by optimizing the transmit beamforming and deployment location of the UAV-base station(UAV-BS),while considering quality-of-service(QoS) constraints, maximum transmit power, and flight space limitations. To address the non-convexity of the proposed problem, the optimization problem is first decoupled into two subproblems. Then, the successive convex approximation(SCA) method is employed to solve each subproblem using different propositions. In addition, an alternating optimization(AO)-based location RSMA(L-RSMA) beamforming algorithm is developed to implement joint optimization to obtain the suboptimal solution. Numerical results demonstrate that(1) the proposed L-RSMA scheme yields a28.97% higher sum secrecy rate than the baseline L-space division multiple access(SDMA) scheme;(2) the proposed L-RSMA scheme improves the security performance by 42.61% compared to the L-non-orthogonal multiple access(NOMA) scheme.
Aimed at resolving the defects of traditional network framework such as limited coverage and small system capacity, Rate Splitting Multiple Access (RSMA) technology is combined with cooperative relay technology for th...
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Aimed at resolving the defects of traditional network framework such as limited coverage and small system capacity, Rate Splitting Multiple Access (RSMA) technology is combined with cooperative relay technology for the first time to effectively control interference and improve rate performance. We have considered the broadcast characteristics of public messages, analyzed the risk of public messages being exposed to eavesdropping, and constructed the problem of maximizing the weighted sum of the average secrecy rate of remote multicast groups and the reachable rate of a public message for the security problem in Cooperative RSMA networks with risky user relays. To solve this problem, a joint optimization approach is employed, considering the power budgets of both base station and relay equipment as constraints. This involves optimizing precoding matrix, common information segmentation and device-to-device transmit power. The Successive Convex Approximation (SCA) method is used to iteratively solve a series of convex optimization operations similar to the original problem, and the non-convex constraints are linearized to transform the non-convex problem into a convex problem that is easy to solve. An iterative algorithm for Full-Duplex (FD) cooperative rate segmentation is designed. After using cvx in Matlab, the simulation results show that compared with the existing Half-Duplex (HD) RSMA scheme, the proposed scheme has better convergence, and the realtime hardware configuration is improved accordingly. At the same time, compared with the non-Cooperative RSMA scheme and the Cooperative Non-Orthogonal Multiple Access (NOMA) scheme, it can achieve a higher secure transmission rate and provide practical security for remote users.
In this paper, we propose a decentralized strategy to find out the linear precoding matrices for a two-hop multiuser relay communication system. From a game-theoretic perspective, we model the source allocation proces...
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In this paper, we propose a decentralized strategy to find out the linear precoding matrices for a two-hop multiuser relay communication system. From a game-theoretic perspective, we model the source allocation process as a strategic noncooperative game for fixing relay precoding matrix and the multiuser interference treating as additive colored noise. Alternately, from the global optimization perspective, we prove that the optimum relay precoding matrix follows the transceiver Winner filter structure for giving a set of source transmit matrices. Closed-form solutions are finally obtained by using our proposed joint iterative SMSE algorithm and numerical results are provided to give insights on the proposed algorithms.
Mobile handsets, classified as portable devices, are regulated on the amount of user electromagnetic exposure. The widely accepted exposure measurement is the specific absorption rate (SAR). Despite the prevalence of ...
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Mobile handsets, classified as portable devices, are regulated on the amount of user electromagnetic exposure. The widely accepted exposure measurement is the specific absorption rate (SAR). Despite the prevalence of SAR constraints throughout the world, there has been barely any work on the design and analysis of communication signals for SAR-constrained wireless systems. In this paper, we show that multiple-antenna systems greatly reduce the SAR measurements when proper precoders are used. Fifth-generation (5G) and beyond cellular systems will be expected to support high rate uplinks, making multiple transmit antennas on user equipment a necessity. Our proposed SAR-aware transmission for multiple-antenna systems can be applied in 5G handsets to reduce the SAR and increase the rate. Assuming that channel knowledge is available at the transmitter and the receiver, we perform capacity analysis for multiple-antenna systems under both transmit power and SAR constraints. Analytical and numerical results demonstrate substantial performance improvements over schemes that ignore the SAR constraint. Our work shows that SAR-constrained precoders have structures similar to precoders designed for spatially correlated channels.
Combining rate splitting (RS) with cooperative relay, cooperative RS (CRS) can reduce the interference and improve the sum rate of conventional RS networks. However, since the common message can be decoded by both use...
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Combining rate splitting (RS) with cooperative relay, cooperative RS (CRS) can reduce the interference and improve the sum rate of conventional RS networks. However, since the common message can be decoded by both users, how to prevent the untrusted relay from eavesdropping the other user's private message remains a challenge. In this correspondence, we propose a two-slot CRS scheme to guarantee the security of the far legitimate user from the other untrusted relay. The problem is a non-convex joint optimization of the precoding matrix, slot allocation and rate allocation, which is approximated as a convex one. Then, an iterative algorithm is designed to solve the problem. Simulation results show that the proposed scheme can effectively guarantee the security of the far user towards eavesdropping.
This letter investigates the precoding in multi-static integrated sensing and communication system with integrated active and passive sensing. Specifically, a base station (BS) performs the downlink communication and ...
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This letter investigates the precoding in multi-static integrated sensing and communication system with integrated active and passive sensing. Specifically, a base station (BS) performs the downlink communication and active sensing tasks simultaneously, while receive access points (RAPs) conduct passive sensing using the reflected signals. Moreover, the system includes a central controller (CC) responsible for centrally processing both active and passive sensing information. Considering the limited backhaul capacity between the CC and RAPs, the result fusion strategy is adopted to analyze the sensing information. Within this setup, we aim to maximize sensing performance by optimizing the precoding vectors subject to the minimum signal-to-interference-plus-noise ratio (SINR) requirements and the BS's power budget. Particularly, we consider two models of user's SINR with and without the sensing interference cancellation. Under both models, the non-convex optimization problems are solved via designing two relaxed optimization objectives to approximate the original optimization objective and applying the quadratic transform technique. Finally, numerical results demonstrate that our proposed precoding optimization outperforms the power optimization with fixed precoding vectors.
This work addresses the problem of precoding optimization for a multi-user and multi-target ISAC system from a communication-centric perspective. Specifically, the paper considers a scenario where a multiple-antenna b...
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ISBN:
(纸本)9781728190549
This work addresses the problem of precoding optimization for a multi-user and multi-target ISAC system from a communication-centric perspective. Specifically, the paper considers a scenario where a multiple-antenna base station (BS) serves several single-antenna communication user equipments (UE) while also steering beams for target detection. The objective is to maximize the signal-to-interference plus noise ratio (SINR) subject to power and radio-sensing constraints. The problem is challenging due to its non-convexity. To address this, we propose a sub-optimal solution by zero-forcing (ZF) multi-user interference. A closed-form solution is derived, which efficiently computes the precoder with low computational cost. Simulation results validate the effectiveness of our proposed precoder design which outperforms previous precoder design methods for ISAC.
Integrated sensing and communication (ISAC) is an up-and-coming technique for future 6G networks. However, the communication message carried by the detection waveform will face the risk of being eavesdropped, which le...
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ISBN:
(纸本)9781665450850
Integrated sensing and communication (ISAC) is an up-and-coming technique for future 6G networks. However, the communication message carried by the detection waveform will face the risk of being eavesdropped, which leads to the challenge of wireless security for ISAC networks. In this paper, we leverage non-orthogonal multiple access (NOMA) to support more users for the ISAC network, with the precoding well designed to guarantee the security. Specifically, we formulate a joint precoding optimization problem to maximize the sum secrecy rate for multiple users via artificial jamming, where the superimposed signal for NOMA users can be concurrently employed for the target detection. Since the optimization problem is non-convex, it is transformed into a convex one based on successive convex approximation (SCA). Then, we propose an iterative algorithm, through which the original optimization problem can be solved effectively. Simulation results show that the proposed secure NOMA-ISAC scheme can guarantee the secure transmission while ensuring the sensing performance.
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