Power Control in Wireless Cellular Networks (Foundations and by Mung Chiang, Prashanth Hande, Tian Lan, Chee Wei Tan

By Mung Chiang, Prashanth Hande, Tian Lan, Chee Wei Tan

Strength keep watch over in instant mobile Networks offers a finished survey of the types, algorithms, research, and methodologies during this immense and becoming examine zone. It begins with a taxonomy of the wide variety of strength keep an eye on challenge formulations, and progresses from the fundamental formula to extra subtle ones. whilst transmit strength is the single set of optimisation variables, algorithms for fastened SIR are offered first, sooner than turning to their strong models and joint SIR and gear optimization. this can be through opportunistic and non-cooperative strength regulate. Then joint keep an eye on of strength including beamforming trend, base station task, spectrum allocation, and transmit agenda are surveyed one after the other. persistent regulate in instant mobile Networks highlights using mathematical language and instruments within the examine of strength regulate, together with optimisation conception, keep an eye on idea, online game concept, and linear algebra. useful implementations of a few of the algorithms in operational networks are mentioned within the concluding bankruptcy.

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Additional resources for Power Control in Wireless Cellular Networks (Foundations and Trends in Networking)

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Since this rectangle is invariant SIR[t + 1] will also be inside this region. 2. 3. 3 37 Power Control with Active Link Protection Turning from analysis of invariant region to design of robust power control, we next summarize a robust DPC algorithm proposed in [17, 16]. 1 DPC/ALP Algorithm By extending the DPC algorithm, the authors in [17, 16] proposed the Distributed Power Control with Active Link Protection (DPC/ALP) algorithm to protect active users from new users that access the same channel.

3. [69] A standard interference function I(p) is feasible if and only if RI > 1. 4. 10, if a fixed point exists, then the it is unique, and the power vector converges to the fixed point from any initial power vector. 7) is a standard interference function where   γi  Ii (p) = Glj pj + ni  , ∀i. 11) Gii j=i Hence, the DPC algorithm converges under both synchronous and totally asynchronous condition if there exists a feasible solution, and the feasibility index RI , given by 1/ρ(D(γ)F), is larger than 1 [69].

8 ([72, 73]). 18), p[t] converges weakly to a limit random variable p(∞) if λF < 0 and E[log(1 + |v[t] |)] < ∞. Furthermore, we have lim E[log(SIRi [t])] = log γi , ∀i. 20) Otherwise, p[t] → ∞ with probability one. Note that in formulations with random channels, the minimum SIR requirements have changed; rather than being constrained by SIRi = γi , the stochastic version of the DPC algorithm is constrained by E[log SIRi ] = log γi . Using the Jensen’s inequality, we have log E[SIRi ] ≥ E[log SIRi ].

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