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Holistic Optimization for Immersive Services in Integrated Broadcast-Cellular Networks
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DOI：10.1109/tbc.2026.3689316.png)
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Abstract
En 中文
The proliferation of immersive services, such as augmented and virtual reality, poses unprecedented challenges for wireless networks due to their stringent requirements for high data rates, low latency, and high reliability. This paper investigates the resource optimization problem in an integrated network architecture that combines a high-power high-tower (HPHT) broadcast network and low-power low-tower (LPLT) cellular networks for delivering multi-perspective immersive streams. We formulate a novel multi-objective optimization problem that simultaneously caters to the utilities of three key stakeholders: content providers (minimizing server congestion), network operators (balancing spectral and energy efficiency), and end users (maximizing quality of experience). To centrally coordinate resource allocation across both networks, we introduce an agent, Convergence Intelligent Processing Entity (CIPE), that collects information from all parties and makes globally optimized decisions. To tackle this complex, non-convex, and large-scale problem, we propose an efficient block coordinate descent (BCD)-based algorithm that decomposes the problem into tractable subproblems: HPHT parameter configuration, MBSFN zone formation and user association, and LPLT resource allocation. Extensive simulation results demonstrate that the proposed algorithm is significantly superior to several well-known baselines, including a single-cell point-to-point (SC-PTP) only scheme, an HPHT-only broadcast scheme, and various hybrid schemes that partially leverage heterogeneous resources, such as SC-PTP with broadcast, and SC-PTP with multi-point multicast. Furthermore, we established an external field experimental environment to verify the feasibility and performance gains of the integrated network architecture in a real-world setting.
Keywords:
Integrated broadcast-cellular networks
MBSFN
multi-objective optimization
BCD
resource allocation
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