Joint Bit Allocation and Hybrid Beamforming Optimization for Energy Efficient Millimeter Wave MIMO Systems

Kaushik, Aryan; Vlachos, Evangelos; Tsinos, Christos G.; Thompson, John; Chatzinotas, Symeon

doi:10.1109/tgcn.2020.3026725

Cited by 46 publications

(44 citation statements)

References 53 publications

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“…We adopt the approach in [14] where the maximization of the mutual information can be approximated by finding the minimum Euclidean distance of the hybrid precoder to the fully digital transceiver. For example, [28] discusses steps to transform a difficult fractional EE maximization problem into Euclidean distance minimization problem.…”

Section: B Hybrid Precoder Designmentioning

confidence: 99%

Hardware Efficient Joint Radar-Communications with Hybrid Precoding and RF Chain Optimization

Kaushik¹,

Masouros²,

Liu³

2021

Preprint

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In this paper, we aim to achieve energy efficient design with minimum hardware requirement for hybrid precoding, which enables a large number of antennas with minimal number of RF chains, and sub-arrayed multiple-input multiple-output (MIMO) radar based joint radar-communication (JRC) systems. A dynamic active RF chain selection mechanism is implemented in the baseband processing and the energy efficiency (EE) maximization problem is solved using fractional programming to obtain the optimal number of RF chains at the current channel state. Subsequently hybrid precoders are computed employing a sub-arrayed MIMO structure for EE maximization with weighted formulation of the communication and radar metrics, and the solution is based on alternating minimization. The simulation results show that the proposed method with minimum hardware achieves the best EE while maintaining the rate performance, and an efficient trade-off between sensing and communication.

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Section: B Hybrid Precoder Designmentioning

confidence: 99%

Hardware Efficient Joint Radar-Communications with Hybrid Precoding and RF Chain Optimization

Kaushik¹,

Masouros²,

Liu³

2021

Preprint

Self Cite

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“…Similarly to [11], [12], the EE is defined as where 10 9 accounts for the conversion from bps to Mbps and W to mW, and SINR is given by expression (33). In Fig.…”

Section: Energy Efficiency (Ee)mentioning

confidence: 99%

“…Therefore, hybrid analog-digital beam-forming [9] is an elegant solution capable of reducing the hardware elements, where a digital processing unit is in charge of the digital beam-forming and the analog beam-forming is usually implemented with a phased-array. Moreover, in order to improve the performance of the beam-forming, different techniques are proposed, such as optimization of the beam-pattern [10], joint bit allocation and beam-forming optimization [11], dynamic radio-frequency chain selection [12] and antenna selection [13].…”

Section: Introductionmentioning

confidence: 99%

Non-Coherent Massive MIMO-OFDM Down-Link Based on Differential Modulation

Chen‐Hu

Liu

Armada

2020

IEEE Trans. Veh. Technol.

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Orthogonal frequency division multiplexing (OFDM) and multiple-input multiple-output (MIMO) are wireless radio technologies adopted by the new Fifth Generation (5G) of mobile communications. A very large number of antennas (massive MIMO) is used to perform the beam-forming of the transmitted signal, either to reduce the multi-user interference (MUI), when spatially multiplexing several users, or to compensate the path-loss when higher frequencies than microwave are used, such as the millimeter-waves (mm-Waves). Usually, a coherent demodulation scheme (CDS) is used in order to exploit MIMO-OFDM, where the channel estimation and the pre/post-equalization processes are complex and time consuming operations, which require a considerable pilot overhead and also increase the latency of the system. As an alternative, non-coherent techniques based on a differential modulation scheme have been proposed for the up-link (UL). However, it is not straightforward to extend these proposals to the down-link (DL) due to the (usually) reduced number of antennas at the receiver side. In this paper we overcome this problem, and assuming that each user equipment (UE) is only equipped with one single antenna, we propose the combination of beam-forming with a differential modulation scheme for the DL, enhanced by the frequency diversity. The new transmission and reception schemes are described, and the signal-to-interference-plus-noise ratio (SINR) and the complexity are analysed. The numerical results verify the accuracy of the analysis and show that our proposal outperforms the existing CDS with a significant lower complexity.

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“…Going beyond spectral co-existence, the joint radar-communication (JRC) systems integrate the complete hardware platform and the transmitted signal waveform of the two systems [2]. Recently the JRC systems have been advanced for hardware efficient architectures and employing low resolution converters [3], [4] that are sought for in emerging fifth generation (5G) wireless communications [5].…”

Section: Introductionmentioning

confidence: 99%

Pre-scaling and Codebook Design for Joint Radar and Communication Based on Index Modulation

Chen¹,

Kaushik²,

Masouros³

2021

Preprint

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This paper develops an efficient index modulation (IM) approach for the joint radar-communication (JRC) system based on a multi-carrier multiple-input multiple-output (MIMO) radar. The communication information is embedded into the transmitted radar pulses by selecting the corresponding indices of the carrier frequencies and antenna allocations, providing two degrees of freedom. Our contribution involves the development of a novel codebook based minimum Euclidean distance (MED) maximization and a constellation randomization prescaling (CRPS) scheme for efficient IM-JRC transmission. It can be inferred that the IM approach integrating the CRPS scheme followed by the codebook design maximizes the signal-tonoise ratio gain. The numerical results support the effectiveness of the proposed approach and show enhanced bit error rate performance when compared to the existing baseline.

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Joint Bit Allocation and Hybrid Beamforming Optimization for Energy Efficient Millimeter Wave MIMO Systems

Cited by 46 publications

References 53 publications

Hardware Efficient Joint Radar-Communications with Hybrid Precoding and RF Chain Optimization

Hardware Efficient Joint Radar-Communications with Hybrid Precoding and RF Chain Optimization

Non-Coherent Massive MIMO-OFDM Down-Link Based on Differential Modulation

Pre-scaling and Codebook Design for Joint Radar and Communication Based on Index Modulation

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