Coding with a single fixed rate may not achieve the maximum throughput of a compound channel if the transmitter only has access to channel state statistics. Superposition coding for broadcast channels can be employed to increase the throughput. We study the optimal rate allocation for finite level superposition coding to maximize the throughput. Results show 2-level superposition coding is adeq...

A teletraffic analysis for the performance evaluation of the joint use of Dynamic Resource Allocation (DRA), Channel De-Allocation (DAS), and Channel Re-Allocation (RAS) strategies in GSWGPRS networks is developed. In addition, an efficient DRA strategy with a link quality awareness policy, Channel De-Allocation and Re-Allocation policies as well as user prioritization (called DRA LA DAS RAS) i...

Trade's effect on the living standards of the poor is generally found to be the dominant channel through which trade influences child time allocation and schooling. Trade can influence the living standards of the poor by changing consumption prices and through altering labor and family asset income. It is this later channel, changes in labor and asset incomes, that researchers have highlighted ...

Under cutoff and threshold priority policies, we mathematically formulate a prioritized channel allocation problem which is combinatorial in nature. We then reduce that problem using the concept of pattern, and apply a simulated annealing approach to the reduced problem. Computational experiments show that our method works very well and the cutoff priority policy outperforms the non-prioritized...

Summery A fixed-packet optimal joint source channel coding scheme for transmission of progressive images over Rayleigh channels is proposed. A first order Markov model is used in rate allocation problem to concern channel temporal variations during image transmission. Also, introducing a modification on the used progressive coding scheme, the requirement for the immediate decoding termination u...

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 a simple N dimensional convex optimization problem, which is solved to obtain optimum power and rate allocation as explicit functions o...

Diierent Dynamic Channel Allocation (DCA) strategies based on local signal strength measures are evaluated in terms of the degree of frequency reuse they can aaord. Fixed and Dynamic Channel Allocation schemes are compared by using a simulation model, which overcomes the limitations of models traditionally used in literature. Valuable results show the superiority of DCA schemes in various scena...

QoS (Quality of Service) aware spectrum sensing and channel allocation in cognitive radio wireless mesh networks is a continuous practice due to the divergent scope of communication in wireless mesh networks. Henceforth the current research is moving in a direction to find effective solutions towards QoS aware spectrum sensing and channel allocation. But all of these solutions are specific to o...

We derive the capacity region for a broadcast channel with intersymbol interference (ISI) and colored Gaussian noise under an input power constraint. The region is obtained by first defining a similar channel model, the circular broadcast channel, which can be decomposed into a set of parallel degraded broadcast channels. The capacity region for parallel degraded broadcast channels is known. We...

An alternative mathematical expression for the co-channel interference probability is used, in order to calculate the cellular mobile radio system capacity and to construct a set of compatibility constraints needed for the development of fully adaptive channel allocation (FACA) strategies. The development of such channel allocation techniques becomes a main thrust for the system engineers in or...