Coexistence of MIMO Radar and FD MIMO Cellular Systems With QoS Considerations

Biswas, Sudip; Singh, Keshav; Taghizadeh, Omid; Ratnarajah, Tharmalingam

doi:10.1109/twc.2018.2866044

Cited by 45 publications

(39 citation statements)

References 34 publications

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“…3. Next, we quantify the performance of the CS (operating in the spectrum shared by the RS) in terms of area throughput 16 (Mbps/m 2 ). However, prior to that, in order to verify that Phase 3 of Algorithm 1 does not violate the interference temperature set by the RS in Phase 1, we show the complementary cumulative distribution (CCD) of the total interference power from the CS to RS, i.e., P[I RAD ≤ Γ].…”

Section: Numerical Resultsmentioning

confidence: 99%

“…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.…”

Section: Introductionmentioning

confidence: 84%

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

Biswas

Singh

Taghizadeh

et al. 2020

IEEE Trans. Wireless Commun.

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Spectrum sharing and full duplexing are two promising technologies for alleviating the severe spectrum crunch that has threatened to blight the progress of future wireless communication systems. In this paper, we consider a two tier coexistence framework involving a collocated multiple-inputmultiple-output (MIMO) radar system (RS) and a full-duplex MIMO cellular system (CS). Considering imperfect channel state information and hardware impairments at the CS, we focus on a spectrum sharing environment to improve the quality of service (QoS) for cellular users by designing i) precoders at CS via the minimization of sum mean-squared-errors, subject to the constraints of transmit powers of the CS and probability of detection (PoD) of the RS, and ii) precoders at the RS to mitigate the interference from RS towards CS. While the monotonically increasing relationship between PoD and its noncentrality parameter is exploited to resolve the PoD in terms of interference threshold towards the RS, a generalized likelihood ratio test for target detection is used to derive detector statistics of the precoded radar waveforms. Numerical results demonstrate the feasibility of the proposed spectrum sharing algorithms, albeit with certain tradeoffs in RS transmit power, PoD and QoS of cellular users.

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Section: Numerical Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 84%

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

Biswas

Singh

Taghizadeh

et al. 2020

IEEE Trans. Wireless Commun.

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“…Full duplex (FD) [1]- [4] and non-orthogonal multiple access (NoMA) [5]- [10] have emerged as promising technologies to provide higher spectrum efficiency (SE) in 5G and beyond wireless communications systems. In particular, FD communications allows the radios to simultaneously transmit and receive on the same frequency channel, potentially doubling the SE [11]- [14]. Similarly, for the case of NoMA, unlike conventional orthogonal multiple access (OMA), multiple users are served on the same timefrequency resources by exploiting power domain multiplexing to improve the system's SE and achieve higher cell-edge throughput, and low transmission latency [15]- [17].…”

Section: Introductionmentioning

confidence: 99%

Resource Optimization in Full Duplex Non-Orthogonal Multiple Access Systems

Singh

Wang

Biswas

et al. 2019

IEEE Trans. Wireless Commun.

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In this paper, we investigate a full duplex (FD) multiuser non-orthogonal multiple access (NoMA) communication system, based on the optimization of received signalto-interference-plus-noise ratio (SINR) per unit power. Since the communication system operates in FD mode, co-channel interference (CCI) and self-interference (SI) dominate the system's performance. Accordingly, to combat the CCI, we adopt a gametheoretic approach and propose users clustering algorithms and to suppress the SI, we formulate an optimization problem to maximize the power-normalized SINR (PN-SINR). While the user clustering optimization problem is constrained by i) the successive interference cancellation (SIC) constraint and ii) two binary constraints for the allocations of UL and DL users, the PN-SINR problem is constrained by i) total transmit power budget at the base station and uplink (UL) users, ii) the fundamental condition for the implementation of successive interference cancellation in NoMA, and iii) the minimum fairness condition for UL users. The original PN-SINR problem is non-convex and hence is converted into an equivalent subtractive-form problem, after which we propose an iterative algorithm to find the optimal power allocation policy. Properties of all the proposed algorithms are thoroughly investigated and numerical results are provided. Based on the channel conditions and suppression level of SI and CCI, the superiority of the proposed FD-NoMA system over half duplex NoMA and FD orthogonal multiple access systems is verified.

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“…Related Work: Multi-antenna techniques have been wellexplored in the radar-communications coexistence literature. In the case of coordination between the primary and secondary users, MIMO techniques have been investigated in the context of spectrum sharing between a MIMO radar and the MU-MIMO downlink [2], MIMO radar and full-duplex cellular systems [3], and MIMO radar and a MIMO communication system [4], under performance and power constraints. Even though secondary user interference mitigation is possible using multi-antenna radars in uncoordinated scenarios [5], its feasibility in the presence of a large multi-cell network of massive MIMO BSs is limited to scenarios of sparse deployments and/or large exclusion zone radii.…”

Section: Introductionmentioning

confidence: 99%

“…As we will discuss in Appendix A, Assumption 2 does not impact the worst-case analysis 3. The FDR is dependent on the radar receiver architecture, spectrum of the interfering signal, and is independent of other parameters.…”

mentioning

confidence: 99%

Analysis of Worst-Case Interference in Underlay Radar-Massive MIMO Spectrum Sharing Scenarios

Rao

Dhillon

Marojevic

et al. 2019

2019 IEEE Global Communications Conference (GLOBECOM)

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In this paper, we consider an underlay radarmassive MIMO spectrum sharing scenario in which massive MIMO base stations (BSs) are allowed to operate outside a circular exclusion zone centered at the radar. Modeling the locations of the massive MIMO BSs as a homogeneous Poisson point process (PPP), we derive an analytical expression for a tight upper bound on the average interference at the radar due to cellular transmissions. The technical novelty is in bounding the worst-case elevation angle for each massive MIMO BS for which we devise a novel construction based on the circumradius distribution of a typical Poisson-Voronoi (PV) cell. While these worst-case elevation angles are correlated for neighboring BSs due to the structure of the PV tessellation, it does not explicitly appear in our analysis because of our focus on the average interference. We also provide an estimate of the nominal average interference by approximating each cell as a circle with area equal to the average area of the typical cell. Using these results, we demonstrate that the gap between the two results remains approximately constant with respect to the exclusion zone radius. Our analysis reveals useful trends in average interference power, as a function of key deployment parameters such as radar/BS antenna heights, number of antenna elements per radar/BS, BS density, and exclusion zone radius.

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Coexistence of MIMO Radar and FD MIMO Cellular Systems With QoS Considerations

Cited by 45 publications

References 34 publications

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

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

Resource Optimization in Full Duplex Non-Orthogonal Multiple Access Systems

Analysis of Worst-Case Interference in Underlay Radar-Massive MIMO Spectrum Sharing Scenarios

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