Adaptive Coding and Modulation for Large-Scale Antenna Array-Based Aeronautical Communications in the Presence of Co-Channel Interference

Zhang, Jiankang; Chen, Sheng; Maunder, Robert G.; Zhang, Rong; Hanzo, Lajos

doi:10.1109/twc.2017.2777985

Cited by 56 publications

(47 citation statements)

References 37 publications

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“…To elaborate a little further in technical terms, based on the channel characterization and on our regularized zero-forcing transmit precoding (RZF-TPC) scheme of [200], we could design an distance-based adaptive coding and modulation (ACM) [199] for A2A aeronautical communications system having seen different-rate ACM modes, as shown in Table X.…”

Section: A Channel and Phy Layermentioning

confidence: 99%

“…Yet, no new aeronautical spectrum assignments can be expected within the immediate future due to the limited availability of wireless spectrum. AANETs mainly exchange information via multi-hop A2A communication, which may rely on the SHF band spanning from 3 GHz to 30 GHz [199]. Historically, separate allocations have also been made for aeronautical surveillance systems and aeronautical navigation systems.…”

Section: Optimization Metricsmentioning

confidence: 99%

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Aeronautical $Ad~Hoc$ Networking for the Internet-Above-the-Clouds

Chen²,

et al. 2019

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The engineering vision of relying on the "smart sky" for supporting air traffic and the "Internet above the clouds" for in-flight entertainment has become imperative for the future aircraft industry. Aeronautical ad hoc Networking (AANET) constitutes a compelling concept for providing broadband communications above clouds by extending the coverage of Air-to-Ground (A2G) networks to oceanic and remote airspace via autonomous and self-configured wireless networking amongst commercial passenger airplanes. The AANET concept may be viewed as a new member of the family of Mobile ad hoc Networks (MANETs) in action above the clouds. However, AANETs have more dynamic topologies, larger and more variable geographical network size, stricter security requirements and more hostile transmission conditions. These specific characteristics lead to more grave challenges in aircraft mobility modeling, aeronautical channel modeling and interference mitigation as well as in network scheduling and routing. This paper provides an overview of AANET solutions by characterizing the associated scenarios, requirements and challenges. Explicitly, the research addressing the key techniques of AANETs, such as their mobility models, network scheduling and routing, security and interference are reviewed. Furthermore, we also identify the remaining challenges associated with developing AANETs and present their prospective solutions as well as open issues. The design framework of AANETs and the key technical issues are investigated along with some recent research results. Furthermore, a range of performance metrics optimized in designing AANETs and a number of representative multi-objective optimization algorithms are outlined.

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Section: A Channel and Phy Layermentioning

confidence: 99%

Section: Optimization Metricsmentioning

confidence: 99%

Aeronautical $Ad~Hoc$ Networking for the Internet-Above-the-Clouds

Chen²,

et al. 2019

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“…In [19], we proposed an eigen-beamforming transmit precoding (EB-TPC) aided and distancebased ACM solution for air-to-air aeronautical communication by exploiting the aeronautical channel characteristics. EB-TPC has the advantage of low-complexity operation by simply conjugating the channel matrix, and it also enables us to derive the closed-form expression of the attainable throughput, which facilitates the design of the distance-based ACM [19]. However, its achievable throughput is far from optimal, since EB-TPC does not actively suppress the interantenna interference.…”

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confidence: 99%

“…Our main contributions are: 1) We derive the closed-form expression of the achievable throughput for the RZF-TPC in the challenging new context of aeronautical communications. Our previous contribution work relying on EB-TPC [19] invoked relatively simple analysis, since it did not involve the noncentered channel matrix inverse. By contrast, the derivation of the closed-form throughput of our new RZF-TPC has to tackle the associated non-centered matrix inverse problem.…”

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confidence: 99%

Regularized Zero-Forcing Precoding-Aided Adaptive Coding and Modulation for Large-Scale Antenna Array-Based Air-to-Air Communications

Zhang

Chen

Maunder

et al. 2018

IEEE J. Select. Areas Commun.

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We propose a regularized zero-forcing transmit precoding (RZF-TPC) aided and distance-based adaptive coding and modulation (ACM) scheme to support aeronautical communication applications, by exploiting the high spectral efficiency of large-scale antenna arrays and link adaption. Our RZF-TPC aided and distance-based ACM scheme switches its mode according to the distance between the communicating aircraft. We derive the closed-form asymptotic signal-to-interference-plus-noise ratio (SINR) expression of the RZF-TPC for the aeronautical channel, which is Rician, relying on a noncentered channel matrix that is dominated by the deterministic line-of-sight component. The effects of both realistic channel estimation errors and of the co-channel interference are considered in the derivation of this approximate closed-form SINR formula. Furthermore, we derive the analytical expression of the optimal regularization parameter that minimizes the mean square detection error. The achievable throughput expression based on our asymptotic approximate SINR formula is then utilized as the design metric for the proposed RZF-TPC aided and distance-based ACM scheme. Monte-Carlo simulation results are presented for validating our theoretical analysis as well as for investigating the impact of the key system parameters. The simulation results closely match the theoretical results. In the specific example that two communicating aircraft fly at a typical cruising speed of 920 km/h, heading in opposite direction over the distance up to 740 km taking a period of about 24 minutes, the RZF-TPC aided and distance-based ACM is capable of transmitting a total of 77 Gigabyte of data with the aid of 64 transmit antennas and 4 receive antennas, which is significantly higher than that of our previous eigen-beamforming transmit precoding aided and distance-based ACM benchmark. The authors are with Aeronautical communication, Rician channel, large-scale antenna array, adaptive coding and modulation, transmit precoding, regularized zero-forcing precoding I. INTRODUCTION The vision of the 'smart sky' [1] in support of air traffic control and the 'Internet above the clouds' [2] for in-flight entertainment has motivated researchers to develop new solutions for aeronautical communications. The aeronautical ad hoc network (AANET) [3] exchanges information using multi-hop air-to-air radio communication links, which is capable of substantially extending the coverage range over the oceanic and remote airspace, without any additional infrastructure and without relying on satellites. However, the existing air-to-air communication solutions can only provide limited data rates. Explicitly, the planed L-band digital aeronautical communications system (L-DACS) [4], [5] only provides upto 1.37 Mbps air-to-ground communication rate, and the aeronautical mobile airport communication system [6] only offers 9.2 Mbps air-to-ground communication rate in the vicinity of the airport. Finally, the L-DACS air-to-air mode [7] is only capable of providing 273 kbps net user rate f...

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“…According to the well-known spatial multiplexing gaining or spatial degree of freedom, the number of independent data streams supported cannot be higher than the number of receive antennas. The spatial degree of freedom between the rth RRU and its supporting UDs is given by min{U r , M } [33], [34]. Therefore, the number of UDs served by the rth RRU is no more than the number of the rth RRU's RAs, i.e., U r ≤ M .…”

Section: System Modelmentioning

confidence: 99%

Boosting Fronthaul Capacity: Global Optimization of Power Sharing for Centralized Radio Access Network

Zhang

Chen

Guo

et al. 2019

IEEE Trans. Veh. Technol.

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The limited fronthaul capacity imposes a challenge on the uplink of centralized radio access network (C-RAN). We propose to boost the fronthaul capacity of massive multipleinput multiple-output (MIMO) aided C-RAN by globally optimizing the power sharing between channel estimation and data transmission both for the user devices (UDs) and the remote radio units (RRUs). Intuitively, allocating more power to the channel estimation will result in more accurate channel estimates, which increases the achievable throughput. However, increasing the power allocated to the pilot training will reduce the power assigned to data transmission, which reduces the achievable throughput. In order to optimize the powers allocated to the pilot training and to the data transmission of both the UDs and the RRUs, we assign an individual power sharing factor to each of them and derive an asymptotic closed-form expression of the signal-to-interference-plus-noise for the massive MIMO aided C-RAN consisting of both the UD-to-RRU links and the RRU-to-baseband unit (BBU) links. We then exploit the C-RAN architecture's central computing and control capability for jointly optimizing the UDs' power sharing factors and the RRUs' power sharing factors aiming for maximizing the fronthaul capacity. Our simulation results show that the fronthaul capacity is significantly boosted by the proposed global optimization of the power allocation between channel estimation and data transmission both for the UDs and for their host RRUs. As a specific example of 32 receive antennas (RAs) deployed by RRU and 128 RAs deployed by BBU, the sum-rate of 10 UDs achieved with the optimal power sharing factors improves 33% compared with the one attained without optimizing power sharing factors.

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Adaptive Coding and Modulation for Large-Scale Antenna Array-Based Aeronautical Communications in the Presence of Co-Channel Interference

Cited by 56 publications

References 37 publications

Aeronautical $Ad~Hoc$ Networking for the Internet-Above-the-Clouds

Aeronautical $Ad~Hoc$ Networking for the Internet-Above-the-Clouds

Regularized Zero-Forcing Precoding-Aided Adaptive Coding and Modulation for Large-Scale Antenna Array-Based Air-to-Air Communications

Boosting Fronthaul Capacity: Global Optimization of Power Sharing for Centralized Radio Access Network

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