Transceiver Design and Power Allocation for Full-Duplex MIMO Communication Systems With Spectrum Sharing Radar

Abstract

The networking paradigm of spectrum sharing is a promising technology to solve the spectrum paucity that has resulted from the exponential increase in the number of wireless devices and ubiquitous services. In light of the novel concept of Authorized/Licensed Shared Access, in this work, we consider the spectrum sharing between a collocated multiple-input-multipleoutput (MIMO) radar and a full-duplex (FD) MIMO cellular communication system consisting of a FD base station (BS) serving multiple downlink and uplink users simultaneously, without hindering the detection probability of the radar. The main objective is to develop an optimization technique at the cellular system for jointly designing the transceiver for the cellular BS and power allocation vectors for uplink users that can maximize the detection probability of radar, while guaranteeing a pre-defined quality-of-service for each user and power budget for the uplink users and BS. The original problem is non-convex and thus, we convert the non-convex problem into a secondorder cone and propose an iterative algorithm to find the optimal solution. Numerical results are then provided to demonstrate the feasibility of the spectral coexistence and show a scalable tradeoff in performance of both systems.

Design and Analysis of FD MIMO Cellular Systems in Coexistence With MIMO Radar

“…This improves the control of interference as it reduces the required transmit power for a given QoS in both UL and DL directions, while improving the beamforming capability at the UL. This is in contrast to the prior works, which consider perfect hardware or CSI aquisition [14], [17], or consider single antenna users for the CS [11], [12], [17]. • In order to maximize the QoS of the cellular users, linear precoder and equalizers are designed at the FD CS with the goal to minimize the Sum-MSE, for a given worstcase channel set, subject to the constraints of power budgets at the UL users and the FD BS, and detection probability performance at the MIMO RS.…”

“…In particular, we consider a system wherein the CS seeks to improve the users' QoS on the best-effort basis, while ensuring a guaranteed detection probability at the RS. This is in contrast to prior works, e.g., [16], [17], where the interference towards the RS is controlled on the best-effort basis, but subject to the hard requirements on the QoS at the CS. Please note that the interference from the CS towards the RS is of utmost concern owing to the level of seriousness involved in the RS's operation.…”

Array resource allocation for radar and communication integration network

“…Considerable effort has been put over the past years in studying radio frequency integration technology to share the hardware and software resources [1,2]. Spectrum sharing technology between multiple-input multiple-out (MIMO) radar and communication is studied in [3], where an optimization algorithm is presented to design the integrated transceivers that can maximize the radar detection probability and guarantee the communication quality. A spectrum sharing algorithm is proposed in [4] that incorporates communication information into radar waveforms.…”

“…A joint radar-communication system is designed based on time modulated array in [11] according to the civil and military requirements. These works on radar and communication integration (RCI) mainly focus on addressing spectrum sharing [3]- [4], waveform optimization [5]- [9] and system design [10]- [11]. The problem of resource allocation for the integration network is rarely considered.…”

Interfering Channel Estimation in Radar-Cellular Coexistence: How Much Information Do We Need?

“…As a step further, more recent works have exploited convex optimization techniques for jointly designing transmit waveforms/precoders of radar and communication systems, such that certain performance metrics can be optimized [11]- [20]. For instance, in [13], the receive signal-to-interference-plusnoise ratio (SINR) of the radar is maximized in the presence of both the clutters and the communication interference, while the capacity of the communication system is guaranteed.…”