scholarly journals Analysis of D2D Communications over Gamma/Nakagami Fading Channels

2018 ◽  
Vol 8 (2) ◽  
pp. 2693-2698
Author(s):  
Z. Hussain ◽  
A. ur R. Khan ◽  
H. Mehdi ◽  
S. M. A. Saleem
Keyword(s):  
Fading Channels ◽  
Channel Capacity ◽  
Communication System ◽  
Communication Systems ◽  
Path Loss ◽  
Symbol Error Rate ◽  
D2d Communication ◽  
Channel Fading ◽  
Nakagami Fading Channels ◽  
Probability Density Function Pdf

In this paper, we investigate the outage probability, channel capacity and symbol error rate (SER) performance of device-to-device (D2D) communication systems. The D2D communication system is affected by several co-channel interferers. Gamma fading channel is considered for the D2D communication system. The channel for the co-channel interference is assumed to be Nakagami faded. An expression for the probability density function (PDF) of the signal-to-interference ratio (SIR) is presented. The PDF is a function of distances between various devices in the D2D system, path-loss, channel fading conditions and signal powers. Based on the PDF expression, we present the expressions for the outage, channel capacity and SER. With the help of numerical results the performance of D2D communication system is discussed under various conditions of interference, path-loss and channel fading.

scholarly journals Analysis of Device-to-Device Communication over Double-Generalized Gamma Channels

2018 ◽  
Vol 8 (4) ◽  
pp. 3265-3269 ◽  
Author(s):  
Z. Hussain ◽  
A. ur R. Khan ◽  
H. Mehdi ◽  
S. M. A. Saleem
Keyword(s):  
Fading Channels ◽  
Communication System ◽  
Path Loss ◽  
Symbol Error Rate ◽  
D2d Communication ◽  
Cumulative Distribution ◽  
Channel Fading ◽  
Statistical Parameters ◽  
Generalized Gamma ◽  
Device To Device

In this paper, performance of a device-to-device (D2D) communication system is analyzed over double-generalized Gamma (dGG) fading channels. The dGG is a generic distribution for modeling double-scattering fading conditions. Co-channel interference (CCI) caused by various wireless devices in the system is also considered. The CCI fading channel is assumed to be Nakagami distributed. Analytical expressions for important statistical metrics, i.e. probability density function (PDF) and cumulative distribution function (CDF) of signal-to-interference ratio (SIR), are presented. Based on these statistical parameters, expressions for the outage probability, channel capacity and symbol error rate (SER) of the D2D communication system are presented. The performance of D2D system is then discussed and analyzed with the help of numerical results with arbitrary channel fading, path-loss and interference conditions.

scholarly journals Analysis of D2D Communication System Over κ-μ Shadowed Fading Channel

2018 ◽  
Vol 8 (5) ◽  
pp. 3405-3410
Author(s):  
Z. Hussain ◽  
A. ur R. Khan ◽  
H. Mehdi ◽  
S. M. A. Saleem
Keyword(s):  
Outage Probability ◽  
Communication System ◽  
Fading Channel ◽  
Success Probability ◽  
Path Loss ◽  
D2d Communication ◽  
Maximal Ratio Combining ◽  
Selection Combining ◽  
Channel Fading ◽  
Shadowed Fading

Outage performance of a device-to-device (D2D) communication system in the presence of co-channel interference (CCI) is analyzed in this paper. Channels for the D2D and CCI signals are assumed to be κ-μ shadowed faded. Maximal ratio combining (MRC) and selection combining (SC) techniques are considered to combat fading conditions. Characteristic function (CF) expression of the D2D system in the presence of CCI is presented. Outage probability and success probability expressions are presented for the MRC and SC schemes. These outage probability and success probability expressions are functions of various CCI, path-loss and channel fading parameters. With the help of numerical results, effects of CCI on the performance of D2D communication system under different channel fading and path-loss conditions are discussed.

PERFORMANCE OF FREQUENCY-MODULATED DIFFERENTIAL-CHAOS-SHIFT-KEYING COMMUNICATION SYSTEM OVER MULTIPATH FADING CHANNELS WITH DELAY SPREAD

2005 ◽  
Vol 15 (12) ◽  
pp. 4027-4033 ◽  
Author(s):  
YONGXIANG XIA ◽  
CHI K. TSE ◽  
FRANCIS C. M. LAU ◽  
GÉZA KOLUMBÁN
Keyword(s):  
Fading Channels ◽  
Communication System ◽  
Communication Systems ◽  
Multipath Fading ◽  
Equivalent Model ◽  
Delay Spread ◽  
Error Performance ◽  
Multipath Fading Channels ◽  
Shift Keying ◽  
Chaos Shift Keying

Multipath performance is an important consideration for chaos-based communication systems. In this letter, the performance of the FM-DCSK communication system over multipath fading channels is evaluated by computer simulations. Both Rayleigh fading and Ricean fading are considered, and the low-pass equivalent model of the FM-DCSK system is used in the simulation. Based on this model, we analyze the bit error performance of the system and the effects of system parameters on the bit-error performance.

scholarly journals On Carrier Sensing Accuracy and Range Scaling Laws in Nakagami Fading Channels

2017 ◽  
Vol 2017 ◽  
pp. 1-16
Author(s):  
Yue Wang ◽  
Liang Chen ◽  
Li Zhang ◽  
Haifeng Li ◽  
Huaihu Cao ◽  
...  
Keyword(s):  
Fading Channels ◽  
Scaling Laws ◽  
Path Loss ◽  
Nakagami Fading ◽  
Interference Range ◽  
Carrier Sensing ◽  
Static Channel ◽  
Nakagami Fading Channels ◽  
Theoretical Results ◽  
Exposed Terminal

We make a detailed study on carrier sensing of 802.11 in Nakagami fading channels. We prove that to maximize sensing accuracy, the optimal channel accessing probability is solely determined by the path-loss SIR (Signal to Interference Ratio). We define pfail-interference range and pbusy-carrier sensing range for fading channels and prove that their scaling laws in Nakagami fading channels are similar to those in the static channel. The newly derived theoretical results show a unified property between the static and fading channels. By extensive simulations, we reveal that fading depresses the probability of a dominating transmission state, and therefore it can mitigate severe hidden and exposed terminal problems, but fading harms the average sensing accuracy for an optimally adjusted carrier sensing threshold.

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