Communication devices that employ adaptive transmission protocols can exploit good channel conditions to increase throughput and compensate for poor channels to enhance survivability. We examine the performance of a p...
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Communication devices that employ adaptive transmission protocols can exploit good channel conditions to increase throughput and compensate for poor channels to enhance survivability. We examine the performance of a protocol for the combined adaptation of the modulation, error-control-code, and transmitter power in high-rate direct-sequence spread-spectrum systems. The protocol requires only simple statistics that are obtained easily from the demodulator and decoder, and only a few bits of feedback are required in each acknowledgment packet.
Adaptive modulation and coding (AMC) consists in adjusting the transmission parameters according to the channel state which affects the performance of the receiver. Practical implementation of the AMC is commonly done...
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Adaptive modulation and coding (AMC) consists in adjusting the transmission parameters according to the channel state which affects the performance of the receiver. Practical implementation of the AMC is commonly done in scalar channels, where the signal to noise ratio characterizes sufficiently well the quality of the transmission. In this paper, we propose to use the AMC in matrix (MIMO) channels with the receiver employing the iterative (turbo) processing. Such solutions were not yet proposed in the literature due to the lack of appropriate performance evaluation tools. In the paper we employ the recently proposed method based on the so-called EXIT analysis, which was shown to predict accurately the performance of the turbo receivers. The numerical results obtained in the space-time bit-interleaved coded modulation MIMO transmission indicate that the throughput obtained exceeds considerably a non-adaptive transmission, and approaches the optimal water-filling solution
By viewing the coherent wireless sensor network (WSN) setup as a distributed space-time multi-input single-output (MISO) system, we minimize average transmit-power when sensors communicate with a fusion center (FC) us...
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By viewing the coherent wireless sensor network (WSN) setup as a distributed space-time multi-input single-output (MISO) system, we minimize average transmit-power when sensors communicate with a fusion center (FC) using adaptive modulation and coding over a wireless fading channel. To this end, we derive optimal distributed beamforming and resource allocation strategies when the full (F-) channel state information at the transmitters (CSIT) is available, or, each sensor has F-CSIT of its own link with the FC but only quantized CSIT of other sensors through finite-rate feedback. Numerical results are presented to evaluate the power savings of the novel strategies.
Because of low-cost optical devices and virtually unlimited bandwidth, optical wireless communications (OWC) for indoor wireless local area networks (WLANs) has become an attractive alternative to radio frequency syst...
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Because of low-cost optical devices and virtually unlimited bandwidth, optical wireless communications (OWC) for indoor wireless local area networks (WLANs) has become an attractive alternative to radio frequency systems. Since optical signals cannot penetrate through walls or other opaque barriers, the security of infrared WLANs is very high and there is no interference between rooms. This makes cell planning easier, and the potential capacity of an optical-based network in a building is extremely high. However, an optical link is susceptible to path loss and multipath dispersion. In addition, the average transmit power is constrained by eye-safety regulations and power consumption concerns. modulation, equalization and error-control coding techniques are considered to overcome these drawbacks, especially the effects of multipath dispersion. Pulse-position modulation (PPM) has been employed for IrDA and IEEE802.11 standards because it offers high power efficiency. We introduce a combination of pulse-amplitude modulation (PAM) and differential pulse-position modulation (DPPM), named differential amplitude pulse-position modulation (DAPPM), in order to gain a better compromise between power and bandwidth efficiency. Since these modulation schemes over an ISI channel can be represented by a trellis diagram, their channel capacity is determined using a method for calculating the capacity of a Markov process channel. Although maximum-likelihood sequence detection (MLSD) is the optimal soft decision decoder (SDD) for DPPM systems, its complexity is extremely high. We examine SDDs which are less complex than MLSD, but have performance close to that with MLSD.
Layered video multicasting can be used to accommodate the heterogeneity of users and their receive channels in wired and wireless system. In a wireless system using adaptive modulation and coding (AMC), total utility ...
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Layered video multicasting can be used to accommodate the heterogeneity of users and their receive channels in wired and wireless system. In a wireless system using adaptive modulation and coding (AMC), total utility of all users can be increased by transmitting the video layers over different AMC modes and allocating proper bandwidth to these video layers. In this paper, it is shown that when the utility function is convex, the utility maximization problem can be formulated into a convex optimization problem. Then several important practical issues like limitation of layer numbers and operational layer rates are considered. With these limitations and no convex constraint on utility function, a genetic algorithm (GA) is proposed to maximize the total utility by layer rate allocation and selecting AMC modes to transmit the video layers. A 7-cell cdma2000 HDR system is used in the simulation to show the performance of the proposed methods.
This paper presents an efficient unequal error protection (UEP) approach for data partitioned video over wireless channels. We consider two methods: 1) forward error correction (FEC) with variable code-rates, and 2) h...
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This paper presents an efficient unequal error protection (UEP) approach for data partitioned video over wireless channels. We consider two methods: 1) forward error correction (FEC) with variable code-rates, and 2) hierarchical quadrature amplitude modulation (HQAM) combined with FEC with a fixed code-rate. In a low-delay application, the variable bit rate ratio between the high-priority and low-priority layers imposes certain constraints on these two methods. These constraints are discussed and solutions are proposed. Simulation results with an H.264 video codec show that combined HQAM and FEC outperforms FEC alone in both Gaussian and fading channels while having advantage over the nonlayered transmission
A Markov based method for modulation and coding scheme (MCS) selection is proposed for pilot assistant adaptive modulation and coding scheme (AMC) with hybrid ARQ (HARQ) retransmissions. A first-order finite-state Mar...
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A Markov based method for modulation and coding scheme (MCS) selection is proposed for pilot assistant adaptive modulation and coding scheme (AMC) with hybrid ARQ (HARQ) retransmissions. A first-order finite-state Markov model (FSMM) is introduced to represent the time correlation character of channel fading during (channel quality indicator) CQI feedback and HARQ retransmissions. According to different QoS targets, such as maximizing the air interface throughput or maintaining a target frame error rate (FER) for each user, the Markov based method can deduce different reference pilot thresholds for each MCS. Theoretical analysis and link level simulation results both show the efficiency of the Markov based method for pilot threshold calculation according to different QoS target and different HARQ retransmission times
To enhance spectral efficiency and channel utilization in future wireless communication systems, adaptive modulation and coding (AMC) has been advocated at the physical layer. However, since the constellation size and...
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To enhance spectral efficiency and channel utilization in future wireless communication systems, adaptive modulation and coding (AMC) has been advocated at the physical layer. However, since the constellation size and coding rate are chosen based on the corresponding carrier-to-noise ratio (CNR) region, AMC can not guarantee to achieve the maximum spectral efficiency, especially when the number of available AMC modes are limited and the current CNR is low. In this paper, we present a scheme for spectral efficiency enhancement under fading channels. The proposed scheme combines AMC at the physical layer with hybrid automatic repeat request (HARQ) at the data link layer in a cross-layer fashion, where the upper layer HARQ provides an effective means to fine-tune the performance of the lower layer AMC. Both type-I and type-II HARQ are considered in our design. We have analyzed the system PER performance and the spectral efficiency of the proposed cross- layer design scheme. Numerical results show that our scheme can achieve maximum spectral efficiency while satisfying QoS requirements. The cross-layer design with AMC and type-II HARQ provides a large spectral efficiency improvement over the design with AMC and type-I HARQ.
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