论文标题
ISAC的全双工通信:联合波束形成和功率优化
Full-Duplex Communication for ISAC: Joint Beamforming and Power Optimization
论文作者
论文摘要
波束形成的设计已被广泛研究,用于具有全双工(FD)传感和半双链(HD)通信的集成感应和通信(ISAC)系统。为了达到较高的光谱效率,在本文中,我们通过考虑雷达和通信的FD功能来扩展现有的ISAC波束形成设计。具体来说,我们考虑一个ISAC系统,BS执行目标检测并与多个下行链路用户进行通信,并在同一时间和频率资源中重复使用上行链路用户。我们共同优化了下行链路双功能传输信号,上行链路在BS处接收束缚器,并在上行链路用户处发射功率。这些问题是在两个标准下提出的:功耗最小化和总和速率最大化。由于所需的目标回声和在BS中收到的不希望的干扰,因此下行链路和上行链路的传输紧密耦合,从而使问题具有挑战性。为了处理这些问题,我们首先确定最佳接收光束器,这些接收界定器以BS传输光束形成和用户传输功率分别以雷达目标检测和上行链路通信分别以封闭形式得出。随后,我们援引这些结果来获得等效的优化问题,并提出有效的迭代算法,以使用等级松弛和连续凸近近似(SCA)的技术来解决它们,其中所采用的放松被证明是紧密的。此外,我们考虑了在功率最小化标准下的特殊情况,并提出了另一种低复杂性设计。数值结果表明,与HD通信的常规ISAC相比,优化的基于FD的ISAC在功率效率和光谱效率方面都带来了巨大改进。
Beamforming design has been widely investigated for integrated sensing and communication (ISAC) systems with full-duplex (FD) sensing and half-duplex (HD) communication. To achieve higher spectral efficiency, in this paper, we extend existing ISAC beamforming design by considering the FD capability for both radar and communication. Specifically, we consider an ISAC system, where the BS performs target detection and communicates with multiple downlink users and uplink users reusing the same time and frequency resources. We jointly optimize the downlink dual-functional transmit signal and the uplink receive beamformers at the BS and the transmit power at the uplink users. The problems are formulated under two criteria: power consumption minimization and sum rate maximization. The downlink and uplink transmissions are tightly coupled due to both the desired target echo and the undesired interference received at the BS, making the problems challenging. To handle these issues in both cases, we first determine the optimal receive beamformers, which are derived in closed forms with respect to the BS transmit beamforming and the user transmit power, for radar target detection and uplink communications, respectively. Subsequently, we invoke these results to obtain equivalent optimization problems and propose efficient iterative algorithms to solve them by using the techniques of rank relaxation and successive convex approximation (SCA), where the adopted relaxation is proven to be tight. In addition, we consider a special case under the power minimization criterion and propose an alternative low complexity design. Numerical results demonstrate that the optimized FD communication-based ISAC brings tremendous improvements in terms of both power efficiency and spectral efficiency compared to the conventional ISAC with HD communication.