- The paper introduces a rotatable-antenna system that jointly optimizes beamforming and each antenna’s orientation to direct energy toward Bob while suppressing leakage toward multiple wardens.
- The proposed alternating-optimization method combines an exact SOCP beamforming update with successive convex approximation for antenna rotations, producing monotonically improving covert rates and typically converging within about eight iterations.
- Simulations show consistent gains over fixed-orientation, random-orientation, and isotropic antennas as the array grows and across transmission distances, while performance remains limited by line-of-sight modeling, full CSI assumptions, and unmodeled hardware latency.
Motivation and contribution
Covert communication, or low-probability-of-detection (LPD) communication, aims to conceal the existence of a transmission rather than merely its content, distinguishing it from physical layer security and encryption. Existing covert schemes—channel uncertainty exploitation and artificial noise jamming—are built on fixed-antenna architectures, which leave the spatial degrees of freedom (DoFs) associated with antenna orientation unexploited. This letter proposes an RA-enabled covert communication system in which a uniform planar array (UPA) of N directional rotatable antennas at Alice serves Bob under the scrutiny of K wardens (Willies), each performing energy detection with noise uncertainty. The design jointly optimizes the transmit beamforming vector w and the rotational angles Θ of each RA to maximize Bob's covert rate subject to covertness, transmit power, and rotational-range constraints.
The key mechanism is that each RA's boresight can be steered independently, so the aggregate array gain pattern is reconfigurable: radiation can be concentrated toward Bob while deliberately suppressing leakage toward every Willie, directly tightening the covertness constraint without sacrificing legitimate-link gain.
Each RA is characterized by a 3D pointing vector parameterized by zenith angle θz,n (bounded by θmax∈[0,π/2]) and azimuth angle θa,n. The element gain follows the standard directional pattern G0cos2p(ϵ), where p is the directivity factor and G0=2(2p+1) enforces power conservation. Channels are modeled as free-space line-of-sight (LoS); the authors note this is for tractability and that extension to multipath requires only replacing channel vectors and re-deriving gradients, leaving the algorithm unchanged.
Willie K0 performs optimal binary hypothesis testing via energy detection under noise uncertainty K1, yielding a minimum detection error probability of
K2
with K3. Enforcing K4 reduces to a per-Willie received-power cap K5, where K6 depends on the nominal noise power, K7, and the tolerance level K8. This converts the statistical covertness requirement into a deterministic power-leakage constraint, which is what makes the subsequent optimization tractable.
Two assumptions deserve emphasis: full CSI—including Willie channels—is assumed available at Alice, justified as a performance-limit baseline; the authors argue Willie CSI acquisition is technically plausible via superheterodyne receiver leakage detection ("Ghostbuster"), but robust designs under imperfect CSI remain open.
Alternating optimization algorithm
The non-convex problem couples K9 and w0, so it is split into two subproblems solved iteratively:
Beamforming subproblem: with fixed w1, the objective w2 is non-concave, but global phase invariance allows assuming w3 real, after which introducing a slack variable yields a second-order cone program (SOCP) solvable exactly.
Rotation subproblem: with fixed w4, both the objective and the covertness constraints are non-convex in w5. The authors expand w6 via a second-order Taylor expansion; since its Hessian satisfies w7, substituting w8 produces a concave lower bound for the objective (and w9 a convex upper bound for the leakage constraints). Cross-coupling terms between antennas are dropped from the quadratic coefficient matrix to reduce complexity, retaining only diagonal blocks Θ0, which guarantees concavity of the surrogate. The resulting convex problem is solved by CVX within a successive convex approximation (SCA) loop.
Because each AO iteration solves either an exact convex problem or a conservative SCA step, the covert rate is monotonically non-decreasing, and convergence follows from boundedness of the objective. Total complexity is Θ1 for Θ2 iterations. A caveat inherent to SCA: convergence is to a Karush–Kuhn–Tucker point, not the global optimum, so the reported rates should be read as achievable lower bounds on what joint optimization could deliver.
Numerical results
Simulations use Θ3 m, noise power Θ4 dBm, Θ5, Θ6, Θ7, noise uncertainty Θ8 dB, and Θ9 Willies at 30 m, averaged over 100 random realizations. Three findings stand out:
- Convergence: the covert rate stabilizes within approximately 8 iterations across all directivity factors θz,n0, confirming practicality of the AO scheme.
- Antenna scaling: with θz,n1 dBm and θz,n2 m, the RA system consistently outperforms fixed-antenna, random-orientation, and isotropic benchmarks as θz,n3 grows. Higher θz,n4 further improves the rate by narrowing beamwidths.
- Distance robustness: at θz,n5, the RA system retains the highest covert rate over all Alice–Bob distances considered, because orientation optimization compensates path loss more effectively than fixed or random orientations.
The comparison against the isotropic benchmark (θz,n6) isolates the benefit of directionality itself, while the fixed-orientation benchmark isolates the benefit of optimized rotation; the consistent gap to both indicates the gains stem specifically from boresight adaptivity rather than from directional elements alone.
Limitations and open questions
Several assumptions bound the applicability of the results. The LoS-only channel model, while extendable in principle, means the reported gains have not been demonstrated under multipath fading, where orientation-dependent gains interact with random small-scale effects. Full CSI at Alice, particularly of passive Willies, is a strong assumption whose violation would degrade the guarantee that leakage stays below θz,n7. The SCA-based rotation update offers no global optimality certificate, and the neglect of inter-antenna cross-coupling in θz,n8 trades approximation tightness for complexity. Finally, mechanical/electronic reconfiguration latency and hardware feasibility of dense UPA rotation are not modeled, so the effective covert rate in time-varying scenarios remains unquantified.
Conclusion
This letter establishes that rotatable antennas provide a cost-effective lever for covert communication: by jointly optimizing beamforming and per-element boresight angles through an SOCP–SCA alternating optimization, the system maximizes the legitimate rate while provably bounding detectable leakage at multiple wardens. Simulations show consistent covert-rate superiority over fixed, random, and isotropic benchmarks with fast convergence. The results position RA as a candidate architecture for undetectable transmission, contingent on future validation under imperfect CSI, multipath propagation, and realistic actuation constraints.