This paper presents a performance analysis of dynamic channel allocation (DCA) based on the greedy approach (GA) for orthogonal frequency-division multiple access downlink systems over Rayleigh fading channels. The GA-based DCA achieves its performance improvement using multiuser diversity. We analyze the statistics of the number of allocable users that represents the multiuser diversity order at each allocation process. The derived statistics are then used to analyze the performance of GA-based DCA. The analysis results show that the number of subcarriers allocated to each user must be equal to achieve the maximum system performance based on outage probability and data throughput. cellular systems, the average channel gain of each user has a different value depended on the large-scale fading such as path loss. However, the effect of large-scale fading is reflected in the bandwidth assignment of each user, s m . So, this assumption is feasible for the channel allocation process.
SUMMARYThis paper presents an analysis of asynchronous multicarrier-code division multiple access (MC-CDMA) systems over frequency-selective multipath fading channels when the carrier frequency offsets (CFOs) of all users are random variables and the frequency offset for the desired user is compensated. The effect of residual CFO on the average bit error rate (BER) is evaluated by the semi-analytical method, then the approximated BER performance is obtained as a closed-form expression. Moreover, the signal-tonoise ratio (SNR) loss caused by residual CFO is evaluated. Derived results show that the performance degradation due to residual frequency offset is negligible if the estimation error of CFO for the desired user is less than the normalized value of 10 −1 .
Motivated by the difficulty in measuring channel state information between heterogeneous primary and secondary systems, we propose a signal-to-interference-noise ratio (SINR)-based spectrum sharing policy. In the proposed spectrum sharing policy, a secondary user who does not cause SINR outage at the primary receiver is admitted to share the primary user's spectrum. In this article, we analyze the achievable rate of a secondary user and for whom the achievable rate is maximized in the SINR-constrained spectrum sharing. The maximized achievable rate is determined by the ratio of the distance between the secondary transmitter and the primary receiver to the distance between the secondary transmitter and receiver, and it is proportional to the distance ratio. In conclusion, secondary links with large distance ratio can support high data rate applications so long as SINR constraint of the primary user is guaranteed. 2012; 25:404-13 ‡ Two consecutive SINR measurements are performed in a coherence time. For example, assuming the carrier frequency is 2 GHz, the coherence times are about 15 and 10 ms for the velocity 10 and 15 m/s, respectively.
This paper presents an exact average symbol error rate (ASER) for the Nth best opportunistic (NO) one-way amplify-and-forward (OWAF) relay networks with M-phase shift keying (M-PSK) transmission over Rayleigh fading channels. This analysis begins with the max · min relay link selection (RLS) algorithm by using full channel state information (FCSI) for NO-OWAF networks and the given relay's selection probability is derived. Then, the modified moment generating function (MGF) is exactly presented with regard to the Nth best relay's selection probability. Based on the modified MGF, the exact ASER expression is shown as a form with the specified the number of multiple summations and the specified length of each summation. Furthermore, the accuracy of derived ASER performance is verified by simulation results.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.