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针对通感一体化网络中能量和算力有限所导致的网络服务覆盖率低的问题，提出一种通感算一体化（Integrated Sensing,Communication and Computing,ISCC）网络服务覆盖率最大化资源分配方案。通过联合优化决策变量、接收滤波器矢量、中央处理器（Central Processing Unit,CPU）频率、通信和感知波束成形矢量等变量，实现ISCC网络服务覆盖率最大化。针对所提出的耦合非凸优化问题，使用块坐标下降法（Block Coordinate Descent,BCD）的迭代算法，结合拉格朗日对偶变换、二次变换、连续凸近似（Successive Convex Approximation,SCA）和半正定松弛（Semidefinite Relaxation,SDR）算法迭代求解。仿真结果表明，所提方案在不同参数下可有效提高网络覆盖率，最高可提升37.5%，能够更有效地优化资源分配并实现网络覆盖率最大化。
Abstract：To address the issue of low network service coverage caused by limited energy and computing power in integrated sensing,communication and computing(ISCC)networks,a resource allocation scheme for maximizing service coverage in ISCC networks is proposed.By jointly optimizing variables such as decision parameters,receiver filter vectors,central processing unit(CPU)frequencies,communication and sensing beamforming vectors,this scheme achieves maximal network service coverage.To solve the resulting coupled non-convex optimization problem,an iterative block coordinate descent(BCD)algorithm,integrating Lagrangian dual transform,quadratic transform,successive convex approximation(SCA),and semidefinite relaxation(SDR)techniques is adopted.Simulation results demonstrate that the proposed solution can effectively enhance network coverage by up to 37.5% under various parameter configurations,which can optimizing the resource allocation more efficiency to maximize coverage performance.
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基本信息:
DOI：10.13682/j.issn.2095-6533.2026.05.003
中图分类号:TN929.5
引用信息:
[1]刘伯阳,吕涛,李泽,等.通感算一体化网络覆盖率最大化资源分配方案[J].西安邮电大学学报,2026,31(05):30-40.DOI:10.13682/j.issn.2095-6533.2026.05.003.
基金信息:
陕西省自然科学基础研究计划项目（2020JQ-851）; 陕西省普通高校青年杰出人才支持计划项目
2025-07-02
2025
2026-07-14
2026-08-16
2026
2
2026-07-31
2026-07-31
2026-07-31