{ We propose an adaptive rate allocation scheme to choose the rates of the source coder and channel coder pair optimally. We express the end-to-end expected distortion in terms of the source coder distortion and the channel distortion. Also, we propose a modiied Gilbert noise channel to model the combination of channel en-coder, channel, and channel decoder. Based on our new model, we estimate ...

We investigate source–controlled resource allocation for orthogonal transmission of heterogenous sources over a multiuser system. The system resources bandwidth and power are shared among all users in such a way that the average distortion for all users is minimised. Especially in mobile communications, the allocation of resources among users with different applications is a challenging task. T...

Cognitive Radio (CR) is an emerging technology for future wireless communication and technology. In the existing system, there is a multiple allocation over all the bands and also there is a crisis for spectrum availability, therefore a new approach for spectrum licensing is needed. Hence the optimal solution for the above case is cognitive radio. the resource-allocation problem in multihop CR ...

Orthogonal-frequency-division multiplexing (OFDM) transforms a frequency-selective multiple-input multipleoutput (MIMO) fading channel into a MIMO-OFDM channel that has a well-defined outage capacity. According to Shannon theory, a transmitter with channel knowledge can achieve this capacity by a combination of eigenbeamforming and water-filling; the eigenbeamforming transforms the MIMO-OFDM ch...

Abstract— The fading wire-tap channel is investigated, where the source-to-destination channel and the source-to-wire-tapper channel are corrupted by multiplicative fading gain coefficients in addition to additive Gaussian noise terms. The channel state information is assumed to be known at both the transmitter and the receiver. The parallel wire-tap channel with independent subchannels is firs...

Due to the limitation of radio spectrum resource and fast deployment of wireless devices, careful channel allocation is of great importance for mitigating the performance degradation caused by interference among different users in wireless networks. Most of existing work focused on fixedwidth channel allocation. However, latest researches have demonstrated that it is possible to combine contigu...

Due to the limitation of radio spectrum resource and fast deployment of wireless devices, careful channel allocation is of great importance for mitigating the performance degradation caused by interference among different users in wireless networks. Most of existing work focused on fixed-width channel allocation. However, latest researches have demonstrated that it is possible to combine contig...

This work develops a channel availability predictive model that allows taking advantage of opportunities in the cognitive radio network’s spectrum in the most efficient way. The developed scheme creates an availability prediction matrix for each available channel in the GSM band, which is used to determine the potential bandwidth and availability time slots to optimize the channel allocation po...

Co-channel interference seriously influences the throughput of a wireless mesh network. This study proposes an end-to-end channel allocation scheme (EECAS) that extends the radio-frequency-slot method to minimize co-channel interference. The EECAS first separates the transmission and reception of packets into two channels. This scheme can then classify the state of each radio-frequency-slot as ...

We obtain the (Shannon) optimal power and rate allocation strategies for the uplink on single cell systems. For an N user system, we show that successive decoding which is independent of channel state is optimal in the Shannon sense. Using this result, we frame the resource allocation problem as a simple convex problem in N variables. We divide the vectors space formed by all possible channel s...