A Sensing-Mode Selection Scheme for Multi-Cell ISAC Networks
IEEE Open Journal of the Communications Society, cilt.7, ss.858-873, 2026 (ESCI, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 7
- Basım Tarihi: 2026
- Doi Numarası: 10.1109/ojcoms.2026.3655558
- Dergi Adı: IEEE Open Journal of the Communications Society
- Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus, Compendex, INSPEC, Directory of Open Access Journals
- Sayfa Sayıları: ss.858-873
- Anahtar Kelimeler: bistatic sensing, Integrated sensing and communication, monostatic sensing, multi-objective optimization
- İstanbul Medipol Üniversitesi Adresli: Evet
Özet
Integrated sensing and communication (ISAC) is gaining prominence as a key enabler for sixth generation (6G) of wireless communication networks, offering spectral and hardware efficiency by unifying sensing and data transmission in a shared infrastructure. Although the current wireless standards support both monostatic and bistatic modes for sensing, they rely on fixed configurations. Given dynamic network conditions, diverse sensing requirements, and communication quality-of-service constraints, future ISAC systems must be adaptive to maximize overall performance. Building on these insights, this paper proposes an adaptive sensing-mode selection framework for multi-cell ISAC networks, where each base station (BS) switches between monostatic and bistatic sensing modes based on the target location. The mode selection leverages practical echo-timing observables, such as round-trip time and timing advance, to enable coarse range estimation and adapt to changing target conditions. To jointly optimize sensing and communication, we formulate a non-convex multi-objective problem that maximizes the Fisher information for sensing accuracy and the achievable sum rate under a total power budget. A fractional programming (FP)-based solution is employed as an enabling technique to obtain low-complexity beamforming designs. Simulation results demonstrate that the proposed approach achieves up to a 60% and 30% improvement in the Fisher information, compared with the monostatic-only and bistatic-only baselines, respectively. The simulation results confirm the effectiveness of the proposed scheme in delivering high sensing fidelity and data rates for next-generation wireless networks.