Effective Capacity Based Power Allocation for the Coexistence of an Integrated Radar and Communication System and a Commercial Communication System

Abstract

Considerable interest has been shown in the coexistence between airborne radar and commercial communication systems in recent years. In particular, the integrated radar and communication system (IRCS) is promising for the airborne platforms like Unmanned Air Vehicles (UAVs). However, due to fast varying channels caused by high mobility, it is a great challenge for the fusion center to collect detection information within a given delay threshold through the air-to-ground (A2G) communication. Based on slowly varying components of the channel, i.e, target spectrum, power spectral densities of the signal dependent clutters, path loss and shadow fading, this paper considers the problem of power minimization for an IRCS and a base station (BS) coexisting in the same frequency band. The latency bound, latency violation probability (LVP), and channel capacity for the A2G communication to the fusion center are considered based on the effective capacity (EC) theory. The detection performance for radar and the rate requirement of BS user are also taken into account. The power allocation problem is non-convex and formulated to a monotonic optimization problem. Afterward, an efficient heuristic scheduling algorithm with acceptable computational complexity is proposed to solve the formulated problem. Then, the robust power allocation with channel estimation error is considered. Simulation results demonstrate the effectiveness of the proposed heuristic algorithm from the perspectives of the total transmit power, EC, and LVP of the IRCS. INDEX TERMS Integrated radar and communications, conditional mutual information, latency violation probability, effective capacity.

Evaluating RF Hardware Characteristics for Automotive JCRS Systems Based on PMCW-CDMA at 77GHz

“…Moreover, studies to expand the current model to a multiuser system are ongoing. In this context, precoder-coder design to maximize the signal interference noise ratio like Cui et al [82], power allocation like in [83] are also discussed. Besides, we extend the analysis of hardware impairments, the same as Adler et al [49] proposed.…”

Integrated OFDM Waveform Design for RadCom System-Based Signal-to-Clutter Noise Ratio Maximization

“…In [40], the authors compared the performance of OFDM RadCom systems and universal frequency multi-carrier (UFMC) RadCom systems over two different frequencies (24 GHz and 77 GHz) in order to satisfy adequate wireless solutions and adopt the optimum parametrization for automotive RadCom systems. In [41], the authors presented a power allocation algorithm for the coexistence of integrating RadCom systems for spectrum sharing with base station users. The low-complexity heuristic approach was devised to produce a suboptimal outcome while minimizing the power for IRCS and BS users.…”

Maximum-Service Channel Assignment in Vehicular Radar-Communication

“…Specifically, [10] designed a radar waveform to maximize its Signal to Interference plus Noise Ratio (SINR) under constraints on the generated interference over bands shared with other telecommunication systems. References [11]- [13] optimized the transmit power in a coexistence scenario between a multi-carrier radar and a base station. Specifically, in [11], the total band was divided into an exclusive communication band, an exclusive radar band, and a shared band.…”

“…On the other hand, in [12], full band sharing was allowed and power was allocated to maximize the base station capacity subject to constraint on the radar SINR. The authors in [13] considered spectrum sharing between a multi-carrier airborne radar and a ground base station, where the total transmission power of the radar was minimized under constraints on its mutual information and the capacity of the ground base station. Reference [14] considered the coexistence between a base station with a Multi-Input-Multi-Output (MIMO) radar, and it optimized the beamforming of the base station signal for two problems: 1) minimizing the transmit power under constraints on the SINR at communication receivers and the interference at the radar, 2) minimizing the interference at the radar under constraints on the transmission power and the SINR at the communication receivers.…”